From 1db23fe834f19f4974ed2e662eff781025735216 Mon Sep 17 00:00:00 2001 From: github-actions Date: Sun, 24 Nov 2024 12:40:17 +0000 Subject: [PATCH] update --- data/data_analyst_20241124.csv | 526 +++++++++++++++++++ data/data_scientist_20241124.csv | 855 +++++++++++++++++++++++++++++++ 2 files changed, 1381 insertions(+) create mode 100644 data/data_analyst_20241124.csv create mode 100644 data/data_scientist_20241124.csv diff --git a/data/data_analyst_20241124.csv b/data/data_analyst_20241124.csv new file mode 100644 index 0000000..3b00c33 --- /dev/null +++ b/data/data_analyst_20241124.csv @@ -0,0 +1,526 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4061996608,https://ca.linkedin.com/jobs/view/data-analyst-and-labeller-at-beatdapp-4061996608?position=1&pageNum=0&refId=06zMxvv3MaSmtAGlpk4flQ%3D%3D&trackingId=BtaJ%2F4dmvLw%2FO5hKx5MU7w%3D%3D,Data Analyst and Labeller,Beatdapp,"Vancouver, British Columbia, Canada","Are you a former musician, with a keen interest in data? Are you looking for the right opportunity to grow your career - and your impact - with a hyper-growth tech company that’s making a real difference in the world, then we have just the role for you. + +We’re Beatdapp, a startup delivering the most advanced streaming fraud and auditing technology for the music industry. Our industry-leading technology helps fight the $2 Billion stolen from artists and labels each year! + +Loving music data is at the heart of our technology and our company. We work for the world’s best music labels and artists all day! + +Technical Requirements For An Analyst + + +Familiarity with music streaming platforms, their ecosystem, and common user behaviour +The ability to query databases using SQL +Proficient at analyzing large datasets using Python +Strong analytical skills to identify patterns, trends, and anomalies in the data related to fraudulent activities +Knowledge of data labeling and annotation tools to efficiently tag and categorize data for machine learning models +Attention to detail and accuracy in data labeling to ensure high-quality input for machine learning models +Good communication skills to collaborate effectively with data scientists, engineers, and product managers +Time management skills to complete data labeling tasks within specified deadlines +A willingness to continuously learn and adapt to new technologies, tools, and methodologies in the field of fraud detection and data labeling +Ability to come into our office in Downtown Vancouver for 3 days a week + + +Nice to haves below + + +Experience working with large datasets and the ability to handle data preparation, cleaning, and transformation +Understanding of basic statistical methods to analyze and compare data patterns +Basic knowledge of fraud detection techniques and strategies used in the music streaming industry + + +Perks + + +Working on difficult problems with a team that will push your thinking +Joining a growing company with a strong foundation, leading in its field +Frequent company events and offsites +A flexible work environment + + +The expected salary range for this role is $60,000 - $75,000 CAD. +Show more ","
+ + + + + +
+
+ Are you a former musician, with a keen interest in data? Are you looking for the right opportunity to grow your career - and your impact - with a hyper-growth tech company that’s making a real difference in the world, then we have just the role for you.

We’re Beatdapp, a startup delivering the most advanced streaming fraud and auditing technology for the music industry. Our industry-leading technology helps fight the $2 Billion stolen from artists and labels each year!

Loving music data is at the heart of our technology and our company. We work for the world’s best music labels and artists all day!

Technical Requirements For An Analyst

  • Familiarity with music streaming platforms, their ecosystem, and common user behaviour
  • The ability to query databases using SQL
  • Proficient at analyzing large datasets using Python
  • Strong analytical skills to identify patterns, trends, and anomalies in the data related to fraudulent activities
  • Knowledge of data labeling and annotation tools to efficiently tag and categorize data for machine learning models
  • Attention to detail and accuracy in data labeling to ensure high-quality input for machine learning models
  • Good communication skills to collaborate effectively with data scientists, engineers, and product managers
  • Time management skills to complete data labeling tasks within specified deadlines
  • A willingness to continuously learn and adapt to new technologies, tools, and methodologies in the field of fraud detection and data labeling
  • Ability to come into our office in Downtown Vancouver for 3 days a week

Nice to haves below

  • Experience working with large datasets and the ability to handle data preparation, cleaning, and transformation
  • Understanding of basic statistical methods to analyze and compare data patterns
  • Basic knowledge of fraud detection techniques and strategies used in the music streaming industry

Perks

  • Working on difficult problems with a team that will push your thinking
  • Joining a growing company with a strong foundation, leading in its field
  • Frequent company events and offsites
  • A flexible work environment

The expected salary range for this role is $60,000 - $75,000 CAD. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-10-28,[] +4062595207,https://ca.linkedin.com/jobs/view/data-intern-at-people-tech-group-inc-4062595207?position=8&pageNum=0&refId=06zMxvv3MaSmtAGlpk4flQ%3D%3D&trackingId=6N%2FhOJ4xPsgqPEnMc1nLIA%3D%3D,Data Intern,People Tech Group Inc,"Vancouver, British Columbia, Canada","Job Title: Data Structures & Problem-Solving Intern (L&D Program – Level 1) + +Location: Remote/Vancouver, Canada (as applicable) + +Job Type: Internship, Unpaid + +Duration: 4 weeks (Level 1) + + + + +About the Program + +Our 4-week Learning & Development (L&D) internship is an intensive, hands-on program designed to build foundational skills in data structures and problem-solving. Interns will engage with experienced mentors, develop core competencies in algorithmic thinking, and prepare for more advanced coding challenges in future internship levels. + + + + +Position Overview + +This internship focuses on developing the skills needed to effectively solve problems and implement data structures, aimed at beginners or those looking to solidify their understanding of the fundamentals. The program includes guided exercises, coding challenges, and collaborative problem-solving sessions. + + + + +Responsibilities + +Participate in weekly workshops and coding sessions on data structure fundamentals (arrays, linked lists, stacks, queues, etc.). +Engage in daily problem-solving exercises to practice implementing data structures and algorithms. +Work collaboratively with fellow interns on mini-projects to reinforce learning objectives. +Complete assignments and challenges designed to test understanding and problem-solving skills. +Attend mentoring sessions with senior developers for guidance and feedback. + + + + +Learning Objectives + +Develop proficiency in implementing basic data structures. +Strengthen algorithmic problem-solving abilities. +Gain exposure to real-world coding practices and coding environment setup. +Prepare for advanced coding modules in the following internship levels. + + + + +Qualifications + +Masters or recent graduate in Computer Science, Software Engineering, or a related field. +Basic understanding of at least one programming language (preferably Python, Java, or C++). +Strong interest in problem-solving and willingness to learn. +Good communication skills and ability to work in a team. + + + + +What We Offer + +Structured curriculum and hands-on coding experience. +Mentorship from experienced professionals. +Networking opportunities and guidance for career progression. +Certification reimbursement if successfully entered L2. +Potential to advance to Level 2 (L2) internships upon successful completion. + +Show more ","
+ + + + + +
+
+

Job Title: Data Structures & Problem-Solving Intern (L&D Program – Level 1)

Location: Remote/Vancouver, Canada (as applicable)

Job Type: Internship, Unpaid

Duration: 4 weeks (Level 1)


About the Program

Our 4-week Learning & Development (L&D) internship is an intensive, hands-on program designed to build foundational skills in data structures and problem-solving. Interns will engage with experienced mentors, develop core competencies in algorithmic thinking, and prepare for more advanced coding challenges in future internship levels.


Position Overview

This internship focuses on developing the skills needed to effectively solve problems and implement data structures, aimed at beginners or those looking to solidify their understanding of the fundamentals. The program includes guided exercises, coding challenges, and collaborative problem-solving sessions.


Responsibilities

  • Participate in weekly workshops and coding sessions on data structure fundamentals (arrays, linked lists, stacks, queues, etc.).
  • Engage in daily problem-solving exercises to practice implementing data structures and algorithms.
  • Work collaboratively with fellow interns on mini-projects to reinforce learning objectives.
  • Complete assignments and challenges designed to test understanding and problem-solving skills.
  • Attend mentoring sessions with senior developers for guidance and feedback.


Learning Objectives

  • Develop proficiency in implementing basic data structures.
  • Strengthen algorithmic problem-solving abilities.
  • Gain exposure to real-world coding practices and coding environment setup.
  • Prepare for advanced coding modules in the following internship levels.


Qualifications

  • Masters or recent graduate in Computer Science, Software Engineering, or a related field.
  • Basic understanding of at least one programming language (preferably Python, Java, or C++).
  • Strong interest in problem-solving and willingness to learn.
  • Good communication skills and ability to work in a team.


What We Offer

  • Structured curriculum and hands-on coding experience.
  • Mentorship from experienced professionals.
  • Networking opportunities and guidance for career progression.
  • Certification reimbursement if successfully entered L2.
  • Potential to advance to Level 2 (L2) internships upon successful completion.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-10-29,[] +4063740552,https://ca.linkedin.com/jobs/view/data-analytics-senior-data-analyst-at-aritzia-4063740552?position=9&pageNum=0&refId=06zMxvv3MaSmtAGlpk4flQ%3D%3D&trackingId=iHiv2BBqQrKt7%2FV81qlfUQ%3D%3D,Data & Analytics - Senior Data Analyst,Aritzia,"Vancouver, British Columbia, Canada","THE TEAM + +The mission of the Data & Analytics Department is to provide the business with actionable and accurate information to enable data-driven decision-making. + + + + +THE OPPORTUNITY + +Aritzia is growing and our Data & Analytics team is growing with it. This is a unique opportunity to be part of the team responsible for bridging the gap between business strategy and data. As a Sr. Data Analyst, you will combine your deep understanding of who our clients are with your passion for data and masterful analytics skills to uncover opportunities that will enable Aritzia to create long lasting relationships with clients. With the skills you gain in this role, the opportunities are endless – from a rewarding career in Analytics to continued growth and development with Aritzia. + +*Please note this role could also be based out of New Westminster. + + + + +THE ROLE + +As the Sr. Data Analyst, you will: + +Partner closely with business leaders and cross-functional partners to enable data-driven decisions that will enable efficiencies, enhance customer experience and grow the business +Consider where we can adopt advanced analytical approaches and influence deployed models through feature engineering and modeling +Work independently to deliver on requirements with the highest quality, as well as collaboratively to raise the acumen across data & analytics +Clearly visualize and communicate data through reports, dashboards, and presentations +Identify and refine modeling requirements to enable insight creation that clearly communicate outcomes and value to stakeholders +Understand and transform complex business problems into data & analytics requirements +Leverage advanced analytics to derive data driven insights, predict outcomes and recommend actions + + + + +THE QUALIFICATIONS + +The Sr. Data Analyst has: + +Proven skills, certifications, education, and/or experience: +SQL +Visualization tools (Tableau, Looker, Power BI) +Google Analytics or Adobe Analytics +Python, R or other related analysis tools +Familiarity working with AI/ML models +Experience working in Retail, eCommerce, or Customer driven industries would be an added benefit +A commitment to learn and apply Aritzia's Values and Business and People Leadership principles + + + + +THE COMPENSATION + +The typical hiring range for this position is $75,000 - 125,000 CAD per year. The final agreed upon salary may vary based on factors such as job-related knowledge, skills and experience. Additionally, this position may be eligible for bonus and equity. + + + + +We are always looking for top talent - if your qualifications differ from those listed above, the scope of work and final agreed upon [salary/wage] may be adjusted to reflect your individual qualifications. + + + + +Aritzia’s Everyday Luxury compensation package goes beyond the base salary with endless growth and recognition opportunities through our pay-for-performance philosophy. Along with comprehensive benefits, aspirational workspaces and elevated employee perks and experiences - we provide it all. + + + + +THE PERKS + +Some of the industry-leading benefits you will receive working at Aritzia: + +Product Discount – Maybe you’ve heard of our famous product discount? Or our exclusive private shopping events? You have now. +A-OK Commissary & Café – Everyday Luxury dining, exclusive to Aritzia. Our in-house bistro and café is a private oasis where employees can enjoy curated, subsidized Everyday Luxury dining. +The SET – Our in-office fitness studio and gym with state-of-the-art equipment, custom-created classes, and optional personal training. Open 7 days a week, works out well. +Aritzia Virtual Wellness – Because your health, happiness, and safety matter – 24/7 resources to support you in your wellbeing goals, be it physical, mental, social, or financial. +Aspirational Workplace – Our offices are specially designed to be spaces of creativity, productivity, and inspiration. They’re also dog friendly. Woof. +Amenities – Additional amenities include a private parent’s room, shower facilities with elevated complementary conveniences, bike rooms, and more. +The Extras – We also offer a multitude of other perks like dry-cleaning, hotel and restaurant discounts, self-care promos and on-site medical care. + + + + +ARITZIA + + + + +Aritzia is an Equal Employment Opportunity employer. Our goal is to be inclusive, diverse, and representative of the communities where we work while creating an environment where every person can enjoy a successful career. This commitment applies to all candidates and employees regardless of race, ethnicity, citizenship, creed, place of origin, religion, sex, gender identity, gender expression, sexual orientation, family status, marital status, disability, age, and any other protected characteristic. + + + + +Requests for accommodation due to a disability or any other protected characteristic can be made at any stage of the recruitment process and during employment by contacting our People & Culture Team. + +Show more ","
+ + + + + +
+
+

THE TEAM

The mission of the Data & Analytics Department is to provide the business with actionable and accurate information to enable data-driven decision-making.


THE OPPORTUNITY

Aritzia is growing and our Data & Analytics team is growing with it. This is a unique opportunity to be part of the team responsible for bridging the gap between business strategy and data. As a Sr. Data Analyst, you will combine your deep understanding of who our clients are with your passion for data and masterful analytics skills to uncover opportunities that will enable Aritzia to create long lasting relationships with clients. With the skills you gain in this role, the opportunities are endless – from a rewarding career in Analytics to continued growth and development with Aritzia.

*Please note this role could also be based out of New Westminster.


THE ROLE

As the Sr. Data Analyst, you will:

  • Partner closely with business leaders and cross-functional partners to enable data-driven decisions that will enable efficiencies, enhance customer experience and grow the business
  • Consider where we can adopt advanced analytical approaches and influence deployed models through feature engineering and modeling
  • Work independently to deliver on requirements with the highest quality, as well as collaboratively to raise the acumen across data & analytics
  • Clearly visualize and communicate data through reports, dashboards, and presentations
  • Identify and refine modeling requirements to enable insight creation that clearly communicate outcomes and value to stakeholders
  • Understand and transform complex business problems into data & analytics requirements
  • Leverage advanced analytics to derive data driven insights, predict outcomes and recommend actions


THE QUALIFICATIONS

The Sr. Data Analyst has:

  • Proven skills, certifications, education, and/or experience:
  • SQL
  • Visualization tools (Tableau, Looker, Power BI)
  • Google Analytics or Adobe Analytics
  • Python, R or other related analysis tools
  • Familiarity working with AI/ML models
  • Experience working in Retail, eCommerce, or Customer driven industries would be an added benefit
  • A commitment to learn and apply Aritzia's Values and Business and People Leadership principles


THE COMPENSATION

The typical hiring range for this position is $75,000 - 125,000 CAD per year. The final agreed upon salary may vary based on factors such as job-related knowledge, skills and experience. Additionally, this position may be eligible for bonus and equity.


We are always looking for top talent - if your qualifications differ from those listed above, the scope of work and final agreed upon [salary/wage] may be adjusted to reflect your individual qualifications.


Aritzia’s Everyday Luxury compensation package goes beyond the base salary with endless growth and recognition opportunities through our pay-for-performance philosophy. Along with comprehensive benefits, aspirational workspaces and elevated employee perks and experiences - we provide it all.


THE PERKS

Some of the industry-leading benefits you will receive working at Aritzia:

  • Product Discount – Maybe you’ve heard of our famous product discount? Or our exclusive private shopping events? You have now.
  • A-OK Commissary & Café – Everyday Luxury dining, exclusive to Aritzia. Our in-house bistro and café is a private oasis where employees can enjoy curated, subsidized Everyday Luxury dining.
  • The SET – Our in-office fitness studio and gym with state-of-the-art equipment, custom-created classes, and optional personal training. Open 7 days a week, works out well.
  • Aritzia Virtual Wellness – Because your health, happiness, and safety matter – 24/7 resources to support you in your wellbeing goals, be it physical, mental, social, or financial.
  • Aspirational Workplace – Our offices are specially designed to be spaces of creativity, productivity, and inspiration. They’re also dog friendly. Woof.
  • Amenities – Additional amenities include a private parent’s room, shower facilities with elevated complementary conveniences, bike rooms, and more.
  • The Extras – We also offer a multitude of other perks like dry-cleaning, hotel and restaurant discounts, self-care promos and on-site medical care.


ARITZIA


Aritzia is an Equal Employment Opportunity employer. Our goal is to be inclusive, diverse, and representative of the communities where we work while creating an environment where every person can enjoy a successful career. This commitment applies to all candidates and employees regardless of race, ethnicity, citizenship, creed, place of origin, religion, sex, gender identity, gender expression, sexual orientation, family status, marital status, disability, age, and any other protected characteristic.


Requests for accommodation due to a disability or any other protected characteristic can be made at any stage of the recruitment process and during employment by contacting our People & Culture Team.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-10-31,[] +4071575551,https://ca.linkedin.com/jobs/view/online-data-analyst-at-telus-digital-4071575551?position=14&pageNum=0&refId=06zMxvv3MaSmtAGlpk4flQ%3D%3D&trackingId=JQy2hJ7EAl%2FPuaooHYXBjg%3D%3D,Online Data Analyst,TELUS Digital,"Vancouver, British Columbia, Canada","We are hiring freelance English speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography. + +This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task. + +Requirements + +Full Professional Proficiency in English +You must be living in Canada the last 2 consecutive years +Ability to follow guidelines and do research online using search engines, online maps and website information +You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Canada +Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance) +Applicants must be 18 years or over. + +Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks. + +Why Join the TELUS Digital Community? + +Earn additional income with flexible hours to fit your lifestyle +Better work-life balance +Be your own boss +Complimentary Well-Being package encompassing a wealth of well-being resources. +Be part of an online community + + + + +TELUS Digital partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. https://telusdigital.com/ + + + + +If you have any questions, do not hesitate to contact us at sourcingteam123@telusinternational.ai + +Show more ","
+ + + + + +
+
+

We are hiring freelance English speaking Online Data Analysts for a project aimed at improving the content and quality of digital maps, which are used by millions of users globally. The job would suit someone who is detail-oriented, likes doing research and has a good knowledge of national and local geography.

This is a freelance position on a flexible schedule - you can work in your own time whenever work is available. You will be completing research and evaluation tasks in a web-based environment, e.g., verifying and comparing data, determining the relevance and accuracy of information. You will be provided with guidelines for each task, which need to be followed. The project offers a variety of tasks, and work is paid per task.

Requirements

  • Full Professional Proficiency in English
  • You must be living in Canada the last 2 consecutive years
  • Ability to follow guidelines and do research online using search engines, online maps and website information
  • You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in Canada
  • Being open to work across a diverse set of Task Types (e.g. Maps, News, Audio tasks, Relevance)
  • Applicants must be 18 years or over.

Working on this project will require you to go through a standard recruitment process (including passing an open book assessment). This is a long-term project and your work will occasionally be subject to quality assurance checks.

Why Join the TELUS Digital Community?

  • Earn additional income with flexible hours to fit your lifestyle
  • Better work-life balance
  • Be your own boss
  • Complimentary Well-Being package encompassing a wealth of well-being resources.
  • Be part of an online community


TELUS Digital partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform handling all data types (text, images, audio, video and geo) across 500+ languages and dialects. We offer flexible work-from-home opportunities for people with passion for languages. The jobs are part-time, and there is no fixed schedule. Whoever you are, wherever you come from, come join our global AI community. https://telusdigital.com/


If you have any questions, do not hesitate to contact us at sourcingteam123@telusinternational.ai

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-07,[] +4076972426,https://ca.linkedin.com/jobs/view/data-base-developer-intern-at-people-tech-group-inc-4076972426?position=7&pageNum=2&refId=mjrEMDI2OFnAxvkKPoYtRg%3D%3D&trackingId=Osw4YrRMCfo0tHuKCus9Mg%3D%3D,Data Base Developer Intern,People Tech Group Inc,"Vancouver, British Columbia, Canada","Position Overview + +We are seeking enthusiastic and motivated interns with experience in database concepts and cloud platforms. In this role, interns will receive training in advanced database tasks and cloud migration techniques, gaining valuable experience with tools like AWS SCT, DMS, and Ora2Pg. This is a unique opportunity to work in a fast-paced environment. + +Responsibilities + +Develop and enhance your skills in Oracle SQL and PL/SQL through real-world projects. +Engage in PostgreSQL database development, administration activities, including configurations, tuning, and performance monitoring. +Assist with day-to-day DBA tasks such as backups, recovery, and routine database maintenance. +Gain hands-on training in AWS Cloud Services, focusing on database and cloud migration aspects. +Work with AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) for database migration from Oracle to PostgreSQL. +Learn to utilize Ora2Pg or any other tools for migrating and converting Oracle databases to PostgreSQL. +Work in cloud migration and modernization projects, gaining exposure to advanced data transformation and modernization practices. +Collaborate on migration projects involving on-premises and cloud database systems, with exposure to CDC (Change Data Capture) and minimizing migration downtime. +Contribute to a dynamic team environment by demonstrating a proactive approach to problem-solving and learning. + +Prerequisites + +To qualify for this internship, candidates should meet the following criteria: + +Proficient in writing and understanding Oracle SQL queries, procedures, and PL/SQL +Familiarity with cloud concepts and platforms (such as AWS, Azure, or GCP) and an understanding of basic cloud architecture and services +Solid understanding of database concepts, including relational databases, schema design, indexing, and data integrity +Strong verbal and written communication skills to convey ideas and work effectively within a team +Good analytical skills for data interpretation and problem analysis +Demonstrated capacity to approach challenges methodically and find innovative solutions +Basic understanding of the software development lifecycle and the general structure of the tech industry +Ability to quickly learn new tools, techniques, and concepts, especially in a high-paced, dynamic setting +Certification in any cloud technology is preferred + + + + +Learning Opportunities + +Develop advanced SQL and PL/SQL skills, including building complex queries, administration, optimizing performance, and understanding query execution +Gain familiarity with PostgreSQL development, administration, performance tuning, and troubleshooting +Learn about core AWS services, with a focus on database migration and cloud-based data handling +Receive practical training on AWS SCT, AWS DMS, and Ora2Pg, essential for Oracle to PostgreSQL migration +Participate in end-to-end database migration projects, focusing on high availability, minimal downtime, and data integrity + +Why Join Us? + +A structured training program with comprehensive learning modules and resources designed to enhance your skills in SQL, PL/SQL, PostgreSQL, AWS, and database/cloud migration tools +Real-world projects that allow you to apply your learning and gain practical experience that enhances your technical skills +Mentorship from seasoned professionals who will guide your journey and provide valuable feedback for growth +Potential future employment based on performance and business needs, with opportunities for a career path in database and cloud technologies + +Show more ","
+ + + + + +
+
+

Position Overview

We are seeking enthusiastic and motivated interns with experience in database concepts and cloud platforms. In this role, interns will receive training in advanced database tasks and cloud migration techniques, gaining valuable experience with tools like AWS SCT, DMS, and Ora2Pg. This is a unique opportunity to work in a fast-paced environment.

Responsibilities

  • Develop and enhance your skills in Oracle SQL and PL/SQL through real-world projects.
  • Engage in PostgreSQL database development, administration activities, including configurations, tuning, and performance monitoring.
  • Assist with day-to-day DBA tasks such as backups, recovery, and routine database maintenance.
  • Gain hands-on training in AWS Cloud Services, focusing on database and cloud migration aspects.
  • Work with AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) for database migration from Oracle to PostgreSQL.
  • Learn to utilize Ora2Pg or any other tools for migrating and converting Oracle databases to PostgreSQL.
  • Work in cloud migration and modernization projects, gaining exposure to advanced data transformation and modernization practices.
  • Collaborate on migration projects involving on-premises and cloud database systems, with exposure to CDC (Change Data Capture) and minimizing migration downtime.
  • Contribute to a dynamic team environment by demonstrating a proactive approach to problem-solving and learning.

Prerequisites

To qualify for this internship, candidates should meet the following criteria:

  • Proficient in writing and understanding Oracle SQL queries, procedures, and PL/SQL
  • Familiarity with cloud concepts and platforms (such as AWS, Azure, or GCP) and an understanding of basic cloud architecture and services
  • Solid understanding of database concepts, including relational databases, schema design, indexing, and data integrity
  • Strong verbal and written communication skills to convey ideas and work effectively within a team
  • Good analytical skills for data interpretation and problem analysis
  • Demonstrated capacity to approach challenges methodically and find innovative solutions
  • Basic understanding of the software development lifecycle and the general structure of the tech industry
  • Ability to quickly learn new tools, techniques, and concepts, especially in a high-paced, dynamic setting
  • Certification in any cloud technology is preferred


Learning Opportunities

  • Develop advanced SQL and PL/SQL skills, including building complex queries, administration, optimizing performance, and understanding query execution
  • Gain familiarity with PostgreSQL development, administration, performance tuning, and troubleshooting
  • Learn about core AWS services, with a focus on database migration and cloud-based data handling
  • Receive practical training on AWS SCT, AWS DMS, and Ora2Pg, essential for Oracle to PostgreSQL migration
  • Participate in end-to-end database migration projects, focusing on high availability, minimal downtime, and data integrity

Why Join Us?

  • A structured training program with comprehensive learning modules and resources designed to enhance your skills in SQL, PL/SQL, PostgreSQL, AWS, and database/cloud migration tools
  • Real-world projects that allow you to apply your learning and gain practical experience that enhances your technical skills
  • Mentorship from seasoned professionals who will guide your journey and provide valuable feedback for growth
  • Potential future employment based on performance and business needs, with opportunities for a career path in database and cloud technologies

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-14,[] diff --git a/data/data_scientist_20241124.csv b/data/data_scientist_20241124.csv new file mode 100644 index 0000000..4325738 --- /dev/null +++ b/data/data_scientist_20241124.csv @@ -0,0 +1,855 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4068338144,https://uk.linkedin.com/jobs/view/junior-data-scientist-at-bip-uk-4068338144?position=1&pageNum=0&refId=iQWy6r1qSlfLZTEVOrbiJA%3D%3D&trackingId=%2BWUEO%2FvdAAOeU7w861F4zQ%3D%3D,Junior Data Scientist,BIP UK,"Greater London, England, United Kingdom","About the job + + + + + + + +BIP is the international consultancy for the 21st century with over 5,000 consultants globally daring to make a difference. + + + + +Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for customers, employees, shareholders and society. + + + + +As a Certified B Corporation, we believe in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment. + + + + +BIP. Here To Dare. + + + + +About the role + + + + +Working hand in hand with our Business Consultants and Data Architects, you will help delivering the finest offerings for analytics, data science and machine learning. + + + + +Your Data Scientist role as member of the xTech Centre of Excellence at BIP will involve: + + + + +Supporting customers to understand how to improve their businesses using the right AI offerings. +Listening and identifying the client's requirements. +Delivering projects based on our data science offerings. +Interact with software developers and architects internally as part of our global xTech community, with client suppliers and staff +Combine strategic and analytical thinking in relation to business, product, and technical challenges, with the ability to build and convey compelling value propositions. + + + + +This role is a Hybrid role, the successful person will need to be flexible to travel to client sites as required and have the ability to travel to London 1-2 times per month for team and company events. + + + + + + + +Requirements: + + + + +Bip UK are a disability confident employer, and we interview every disabled applicant (As defined in the Equality Act 2010) that meets the minimum criteria for the job: + + + + +Basic understanding of Data Science and light data development skills—you will need to be able to deliver technical content and at the same time bridge that technical knowledge with business discussions in non-jargon language. +Basic experience in a Data Analytics role (Data Science, Data Analytics or ML). + + + + + + + +Additional requirements + + + + + + + +Quantitative degree (i.e., Maths, Statistics, Physics, Engineering or Data Science). +A can-do attitude that always puts the customers first and helps gain the position of Trusted Advisor. +Experience working with Agile frameworks is considered a plus. +Experience in Data Visualisation and Data engineering is considered a plus. +Proven experience working with customer data & personalisation +An understanding of and experience with machine learning techniques is considered a plus. +Ability to communicate complex concepts to a broad range of audiences in a simple way +Entrepreneurial spirit & proactiveness + + + + + + + +Benefits: + + + + +Hybrid working options with monthly budgets for NearU for local office day booking and team meetings. +Bip UK recognises and values its diversity and is committed to offering family-friendly employment policies including enhanced maternity and paternity pay +A diverse and skilled workforce within a collaborative, team-based environment +Profit share and discretionary performance bonus based on personal performance +Comprehensive private medical for staff + Medicash top up plan (option to include dependants) +Employer contribution pension of 6% +25 days annual leave, plus bank holidays and a volunteering day. Also buy up to 5 additional days holiday or sell up to 3 days per year. +Employee Assistance Programme. Company paid 24x7 helpline, online portal and confidential counselling to support staff with any work and / or personal issues +Corporate discounted benefits such as gym and health assessment +Death in service/Life insurance +Eyecare Voucher +Lifestyle change Gift Voucher +Long service reward +Recruitment referral bonus paid for successful referrals +Training and development opportunities to support your career and personal development + + + + +*Note the above contains current benefit offerings - these are kept under review and are subject to change or enhancement. + + + + +Real world, real work, and real value, that’s the Bip UK commitment on every transformation we do. We deliver good-sense, human-centred strategies, that produce the results. We understand the possibilities can seem endless. Challenges are complex, technology ever evolving, and business goals pressurised and diverse. + + + + +Bip UK believes in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment + +Show more ","
+ + + + + +
+
+

About the job



BIP is the international consultancy for the 21st century with over 5,000 consultants globally daring to make a difference.


Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for customers, employees, shareholders and society.


As a Certified B Corporation, we believe in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment.


BIP. Here To Dare.


About the role


Working hand in hand with our Business Consultants and Data Architects, you will help delivering the finest offerings for analytics, data science and machine learning.


Your Data Scientist role as member of the xTech Centre of Excellence at BIP will involve:


  • Supporting customers to understand how to improve their businesses using the right AI offerings.
  • Listening and identifying the client's requirements.
  • Delivering projects based on our data science offerings.
  • Interact with software developers and architects internally as part of our global xTech community, with client suppliers and staff
  • Combine strategic and analytical thinking in relation to business, product, and technical challenges, with the ability to build and convey compelling value propositions.


This role is a Hybrid role, the successful person will need to be flexible to travel to client sites as required and have the ability to travel to London 1-2 times per month for team and company events.



Requirements:


Bip UK are a disability confident employer, and we interview every disabled applicant (As defined in the Equality Act 2010) that meets the minimum criteria for the job:


  • Basic understanding of Data Science and light data development skills—you will need to be able to deliver technical content and at the same time bridge that technical knowledge with business discussions in non-jargon language.
  • Basic experience in a Data Analytics role (Data Science, Data Analytics or ML).



Additional requirements



  • Quantitative degree (i.e., Maths, Statistics, Physics, Engineering or Data Science).
  • A can-do attitude that always puts the customers first and helps gain the position of Trusted Advisor.
  • Experience working with Agile frameworks is considered a plus.
  • Experience in Data Visualisation and Data engineering is considered a plus.
  • Proven experience working with customer data & personalisation
  • An understanding of and experience with machine learning techniques is considered a plus.
  • Ability to communicate complex concepts to a broad range of audiences in a simple way
  • Entrepreneurial spirit & proactiveness



Benefits:


  • Hybrid working options with monthly budgets for NearU for local office day booking and team meetings.
  • Bip UK recognises and values its diversity and is committed to offering family-friendly employment policies including enhanced maternity and paternity pay
  • A diverse and skilled workforce within a collaborative, team-based environment
  • Profit share and discretionary performance bonus based on personal performance
  • Comprehensive private medical for staff + Medicash top up plan (option to include dependants)
  • Employer contribution pension of 6%
  • 25 days annual leave, plus bank holidays and a volunteering day. Also buy up to 5 additional days holiday or sell up to 3 days per year.
  • Employee Assistance Programme. Company paid 24x7 helpline, online portal and confidential counselling to support staff with any work and / or personal issues
  • Corporate discounted benefits such as gym and health assessment
  • Death in service/Life insurance
  • Eyecare Voucher
  • Lifestyle change Gift Voucher
  • Long service reward
  • Recruitment referral bonus paid for successful referrals
  • Training and development opportunities to support your career and personal development


*Note the above contains current benefit offerings - these are kept under review and are subject to change or enhancement.


Real world, real work, and real value, that’s the Bip UK commitment on every transformation we do. We deliver good-sense, human-centred strategies, that produce the results. We understand the possibilities can seem endless. Challenges are complex, technology ever evolving, and business goals pressurised and diverse.


Bip UK believes in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-08,[] +4064528553,https://uk.linkedin.com/jobs/view/data-scientist-at-siemens-4064528553?position=16&pageNum=0&refId=iQWy6r1qSlfLZTEVOrbiJA%3D%3D&trackingId=EFXCivPT0vfXXhUz%2Fxxwdg%3D%3D,Data Scientist,Siemens,"City Of London, England, United Kingdom","At Siemens Mobility, we believe our people are the cornerstone of our success. We are committed to nurturing a supportive and inclusive environment where every team member can thrive. Join our global community, where your growth and development are as important as our shared mission to innovate and transform the Rail industry. Ready to embark on this exciting journey with us? + +Siemens Mobility is dedicated to pioneering the future of transportation. Our dynamic team is always exploring new ways to drive innovation and efficiency in rail. We are searching for forward-thinkers eager to make a tangible impact. If you are passionate about creating sustainable and intelligent transport solutions, we want you on our team. + +Role Overview: + +As a Data Scientist, you will support the operation and maintenance of Siemens Mobility’s UK train fleets, primarily the UK Desiro Classic and Desiro City. This role, preferably based in London (or other UK Siemens Mobility sites), collaborates closely with stakeholders across UK fleet locations to build data-driven solutions for technical, performance, and service management. You’ll deliver impactful data services and prototype solutions, primarily using tools like Spotfire and Grafana, and contribute to Siemens Mobility's AWS-based analytics platforms. + +You’ll make a difference by: + + +Identifying and analyzing support requirements for both internal and external customers. +Defining and implementing data-driven solutions and development plans. +Building prototypes and maintaining visualizations to deliver valuable insights. +Developing platform components and facilitating user analytics. +Working collaboratively with the Siemens Mobility UK team to meet data analytics needs. +Cultivating data science capabilities and sharing expertise across teams. + + +Your success will be grounded by: + + +Degree-level knowledge in data science, computer science, or related field. +Experience with visualization tools (e.g., Spotfire, PowerBI, Grafana). +Professional experience developing in Python and SQL. +Proficiency in AWS environments and statistical methods. +Demonstrated success in complex business environments with project management skills. +Collaborative skills and an ability to communicate complex subjects clearly. +Experience in the rail industry and knowledge of train systems (preferred). + + +You'll benefit from: + + +Competitive salary +26 days holiday with an option to buy/sell up to 5 days per year +Attractive pension scheme +Subsidized BUPA Healthcare + + +Create a better #TomorrowWithUs! + +We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Bring your authentic self and create a better tomorrow with us! + +At Siemens, we promote a growth mindset, the belief that we can learn, grow, and adapt. If you don’t match all the criteria but feel you have transferable skills, we encourage you to apply. +Show more ","
+ + + + + +
+
+ At Siemens Mobility, we believe our people are the cornerstone of our success. We are committed to nurturing a supportive and inclusive environment where every team member can thrive. Join our global community, where your growth and development are as important as our shared mission to innovate and transform the Rail industry. Ready to embark on this exciting journey with us?

Siemens Mobility is dedicated to pioneering the future of transportation. Our dynamic team is always exploring new ways to drive innovation and efficiency in rail. We are searching for forward-thinkers eager to make a tangible impact. If you are passionate about creating sustainable and intelligent transport solutions, we want you on our team.

Role Overview:

As a Data Scientist, you will support the operation and maintenance of Siemens Mobility’s UK train fleets, primarily the UK Desiro Classic and Desiro City. This role, preferably based in London (or other UK Siemens Mobility sites), collaborates closely with stakeholders across UK fleet locations to build data-driven solutions for technical, performance, and service management. You’ll deliver impactful data services and prototype solutions, primarily using tools like Spotfire and Grafana, and contribute to Siemens Mobility's AWS-based analytics platforms.

You’ll make a difference by:

  • Identifying and analyzing support requirements for both internal and external customers.
  • Defining and implementing data-driven solutions and development plans.
  • Building prototypes and maintaining visualizations to deliver valuable insights.
  • Developing platform components and facilitating user analytics.
  • Working collaboratively with the Siemens Mobility UK team to meet data analytics needs.
  • Cultivating data science capabilities and sharing expertise across teams.

Your success will be grounded by:

  • Degree-level knowledge in data science, computer science, or related field.
  • Experience with visualization tools (e.g., Spotfire, PowerBI, Grafana).
  • Professional experience developing in Python and SQL.
  • Proficiency in AWS environments and statistical methods.
  • Demonstrated success in complex business environments with project management skills.
  • Collaborative skills and an ability to communicate complex subjects clearly.
  • Experience in the rail industry and knowledge of train systems (preferred).

You'll benefit from:

  • Competitive salary
  • 26 days holiday with an option to buy/sell up to 5 days per year
  • Attractive pension scheme
  • Subsidized BUPA Healthcare

Create a better #TomorrowWithUs!

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Bring your authentic self and create a better tomorrow with us!

At Siemens, we promote a growth mindset, the belief that we can learn, grow, and adapt. If you don’t match all the criteria but feel you have transferable skills, we encourage you to apply. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-24,[] +4074548552,https://uk.linkedin.com/jobs/view/data-scientist-at-talent-4074548552?position=40&pageNum=0&refId=iQWy6r1qSlfLZTEVOrbiJA%3D%3D&trackingId=zkXSTUFnz1fAjaPOIQZZMA%3D%3D,Data Scientist,Talent,"London Area, United Kingdom","Data Scientist - Public Sector - **SC Cleared** +Hybrid Working - 1-2 days in the office a month +£22 per an hour // £162 per a day +6 Months - Starting ASAP + + + + +We are seeking a skilled Data Science Practitioner to join a collaborative team working across the Population Statistics, Population Transformation, and Methodology Directorates. This role will play a key role in developing and building census characteristics research datasets as part of the programme, which supports the priority to improve population and migration statistics. + + + + +As a Data scientist you will be responsible for; + +Develop High-Quality Research Datasets: Collaborate with the Population Statistics and Population Transformation teams to build research datasets that align with programme quality standards. Evaluate and analyze both administrative and survey datasets to identify their strengths and limitations. +Work with multi-disciplinary teams to select and implement the most effective analytical approaches and processes to address user needs. +Lead and manage team members to ensure the use of appropriate tools, techniques, and quality standards, fostering a culture of high performance and continuous improvement. +Provide necessary training, coaching, and mentoring to team members and other staff, supporting their development and ensuring they have the skills needed to excel. + + + + +As a Data scientist you will have the following skills and experience; + +Applied Mathematics, Statistics, and Scientific Practices: Strong foundation in analytical techniques to interpret and validate data. +Data Engineering and Manipulation: Proficiency in handling and transforming large datasets. +Data Science Innovation: Ability to leverage innovative techniques to solve complex data problems. +Delivering Business Impact: Skills in translating data insights into meaningful business outcomes. +Developing Data Science Capability: Experience in enhancing data science skills and practices within a team. +Ethics and Privacy in Data Science: Strong understanding of ethical considerations and data privacy standards. +Programming and Build (Data Science): Experience in coding and building data science solutions. +Product Delivery Understanding: Knowledge of product delivery processes to ensure seamless project progression. + + + + +**SC CLEARED** - Need to hold SC Clearance + + + + +Desirable: + +Experience with Data Analysis Platform (DAP) +Proficiency in using Git and preparing code for publication + +Show more ","
+ + + + + +
+
+
  • Data Scientist - Public Sector - **SC Cleared**
  • Hybrid Working - 1-2 days in the office a month
  • £22 per an hour // £162 per a day
  • 6 Months - Starting ASAP


We are seeking a skilled Data Science Practitioner to join a collaborative team working across the Population Statistics, Population Transformation, and Methodology Directorates. This role will play a key role in developing and building census characteristics research datasets as part of the programme, which supports the priority to improve population and migration statistics.


As a Data scientist you will be responsible for;

  • Develop High-Quality Research Datasets: Collaborate with the Population Statistics and Population Transformation teams to build research datasets that align with programme quality standards. Evaluate and analyze both administrative and survey datasets to identify their strengths and limitations.
  • Work with multi-disciplinary teams to select and implement the most effective analytical approaches and processes to address user needs.
  • Lead and manage team members to ensure the use of appropriate tools, techniques, and quality standards, fostering a culture of high performance and continuous improvement.
  • Provide necessary training, coaching, and mentoring to team members and other staff, supporting their development and ensuring they have the skills needed to excel.


As a Data scientist you will have the following skills and experience;

  • Applied Mathematics, Statistics, and Scientific Practices: Strong foundation in analytical techniques to interpret and validate data.
  • Data Engineering and Manipulation: Proficiency in handling and transforming large datasets.
  • Data Science Innovation: Ability to leverage innovative techniques to solve complex data problems.
  • Delivering Business Impact: Skills in translating data insights into meaningful business outcomes.
  • Developing Data Science Capability: Experience in enhancing data science skills and practices within a team.
  • Ethics and Privacy in Data Science: Strong understanding of ethical considerations and data privacy standards.
  • Programming and Build (Data Science): Experience in coding and building data science solutions.
  • Product Delivery Understanding: Knowledge of product delivery processes to ensure seamless project progression.


**SC CLEARED** - Need to hold SC Clearance


Desirable:

  • Experience with Data Analysis Platform (DAP)
  • Proficiency in using Git and preparing code for publication

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-14,[] +4074732715,https://uk.linkedin.com/jobs/view/data-scientist-at-cabot-financial-4074732715?position=50&pageNum=0&refId=iQWy6r1qSlfLZTEVOrbiJA%3D%3D&trackingId=thA2ezQ5AaoE2a5VVJpMug%3D%3D,Data Scientist,Cabot Financial,"London Area, United Kingdom","A unique and exciting opportunity has become available for a Data Scientist within the Group Decision Science team to join the Cabot Group on a permanent basis. + +This is a UK based hybrid role, with travel to our London office (EC4N 6HL) required up to 3/.4 times a month. + + + + +Job Purpose + +This role is for a commercially minded Data Scientist (analyst/senior analyst level depending on experience) in the Group Decision Science team. + +Our Decision Science team focus on: + +Understanding, measuring, and predicting customer behavior. The team uses both empirical and machine learning techniques to answer questions about customer behaviour in order to optimize collections. + +Asset valuation, cash flow and cost projections for portfolios of typically non-performing or distressed assets. + + + + +The successful candidate will: + +Support the growth of the Cabot business through hands on analytical project work. CCM operates in the UK, Rep. of Ireland, Spain, France, Portugal, Italy and Poland. + +Work on projects end to end including data extraction and model development, through to operational delivery. + +Support the senior data scientists in planning, presenting projects and making the best use of team resources. + +Ensure that our customers and customer experience is forefront in our thinking and how we approach projects. + + + + +Key Accountabilities & Responsibilities + +Responsible for work streams on projects to deliver statistical and empirical analytics. + +Data warehouse interrogation, data collection, sample selection and preparation. + +Statistical model building to agreed objectives and deadlines. + +Become a subject matter expert on understanding of where our data comes from, how it was created and an appreciation of the context in which was created, covering customer personal data, credit bureau data, transactional data, digital and telephony data. + +Over time should be able to develop commercially viable recommendations. + +Look for innovation in CCM statistical modelling techniques, which this role would also contribute to. + +Understand consumer behaviour relating to the services provided by CCM. + +Work with other teams and departments to ensure modelling output is effectively deployed into the business. + +Ensure decision science work carried by business units use sound statistical methodologies and team project management standards. + +Ensure projects are completed in reasonable timescales. + +Champion data quality improvement projects undertaken by the business. + +Manage/coordinate resources for the operational implementation of projects. + + + + + + + +Knowledge & Experience + +Highly numerate and detail oriented. + +Good understanding of the retail credit industry lifecycle. + +Covering: Acquisition, Customer mgmt. and Collections & Recoveries. + +2 years minimum work experience in an analytical role. + +Good knowledge of regression/tree-based algorithms. + +An appreciation of different modelling techniques and the circumstances in which they apply. + +Experience in deployment, auditing and monitoring live models. + +Competent using some ETL and statistical software (e.g. SAS, Python, R, SQL). + +Awareness of the data protection regulatory framework in the EU (GDPR). + +PC literate. MS Excel to a good standard. + +Experience in azure or databricks is desirable. + +Show more ","
+ + + + + +
+
+

A unique and exciting opportunity has become available for a Data Scientist within the Group Decision Science team to join the Cabot Group on a permanent basis.

This is a UK based hybrid role, with travel to our London office (EC4N 6HL) required up to 3/.4 times a month.


Job Purpose

This role is for a commercially minded Data Scientist (analyst/senior analyst level depending on experience) in the Group Decision Science team.

Our Decision Science team focus on:

Understanding, measuring, and predicting customer behavior. The team uses both empirical and machine learning techniques to answer questions about customer behaviour in order to optimize collections.

Asset valuation, cash flow and cost projections for portfolios of typically non-performing or distressed assets.


The successful candidate will:

Support the growth of the Cabot business through hands on analytical project work. CCM operates in the UK, Rep. of Ireland, Spain, France, Portugal, Italy and Poland.

Work on projects end to end including data extraction and model development, through to operational delivery.

Support the senior data scientists in planning, presenting projects and making the best use of team resources.

Ensure that our customers and customer experience is forefront in our thinking and how we approach projects.


Key Accountabilities & Responsibilities

Responsible for work streams on projects to deliver statistical and empirical analytics.

Data warehouse interrogation, data collection, sample selection and preparation.

Statistical model building to agreed objectives and deadlines.

Become a subject matter expert on understanding of where our data comes from, how it was created and an appreciation of the context in which was created, covering customer personal data, credit bureau data, transactional data, digital and telephony data.

Over time should be able to develop commercially viable recommendations.

Look for innovation in CCM statistical modelling techniques, which this role would also contribute to.

Understand consumer behaviour relating to the services provided by CCM.

Work with other teams and departments to ensure modelling output is effectively deployed into the business.

Ensure decision science work carried by business units use sound statistical methodologies and team project management standards.

Ensure projects are completed in reasonable timescales.

Champion data quality improvement projects undertaken by the business.

Manage/coordinate resources for the operational implementation of projects.



Knowledge & Experience

Highly numerate and detail oriented.

Good understanding of the retail credit industry lifecycle.

Covering: Acquisition, Customer mgmt. and Collections & Recoveries.

2 years minimum work experience in an analytical role.

Good knowledge of regression/tree-based algorithms.

An appreciation of different modelling techniques and the circumstances in which they apply.

Experience in deployment, auditing and monitoring live models.

Competent using some ETL and statistical software (e.g. SAS, Python, R, SQL).

Awareness of the data protection regulatory framework in the EU (GDPR).

PC literate. MS Excel to a good standard.

Experience in azure or databricks is desirable.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-12,[] +4081148256,https://uk.linkedin.com/jobs/view/data-scientist-at-resources-group-4081148256?position=53&pageNum=0&refId=iQWy6r1qSlfLZTEVOrbiJA%3D%3D&trackingId=GKx1ee0s5lWV6820Mu0g9g%3D%3D,Data Scientist,Resources Group,"London Area, United Kingdom","Data Scientist/ Data Science Manager + +Strategy & Insight Consultancy + +Central London (Hybrid) + +£50- £65,000 + excellent benefits + + + + +Innovative and advanced data science techniques help this strategy and insight consultancy’s clients turn data into smart insights. Joining a growing Data Science & Analytics team you will get the chance to work on challenging and diverse analytics projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions. + + + + +With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in modelling research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. + + + + +Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. + + + + +You will bring experience working in data science/ statistics from a market research or media agency, and be an expert in R and/ or Python. Conjoint analysis expertise is a must. Experience of survey analytics such as MaxDiff, TURF; knowledge of machine learning methods, text analytics or organisational analytics would also be advantageous. + + + + +Offering a forward thinking, dynamic work environment that encourages an entrepreneurial thinking, this is a fantastic opportunity to progress your Data Science career in an expanding strategic consultancy where you can contribute your expertise to impactful and exciting studies! + + + + +To apply or for further information please contact Deborah Lewis, Senior Partner, Resources Group on applytodeborah@resourcesgroup.com or call 0207 242 6321. + + + + +Applications will only be considered from those based in the UK with current UK working rights. + + + + +About Resources Group + + + + +With over twenty five years’ experience helping thousands of Researchers, Insight Specialists and Data Analysts in their career moves, no one has better knowledge of the Market Research, Insights and Marketing Strategy job market than Resources Group. Our consultants take the time to understand your career aims and are dedicated to providing impartial advice and finding you the best career move, with access to an unrivalled range of opportunities with top employers in the sector - visit our website for many more options! + + + + +Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background + +Show more ","
+ + + + + +
+
+

Data Scientist/ Data Science Manager

Strategy & Insight Consultancy

Central London (Hybrid)

£50- £65,000 + excellent benefits


Innovative and advanced data science techniques help this strategy and insight consultancy’s clients turn data into smart insights. Joining a growing Data Science & Analytics team you will get the chance to work on challenging and diverse analytics projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions.


With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in modelling research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis.


Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives.


You will bring experience working in data science/ statistics from a market research or media agency, and be an expert in R and/ or Python. Conjoint analysis expertise is a must. Experience of survey analytics such as MaxDiff, TURF; knowledge of machine learning methods, text analytics or organisational analytics would also be advantageous.


Offering a forward thinking, dynamic work environment that encourages an entrepreneurial thinking, this is a fantastic opportunity to progress your Data Science career in an expanding strategic consultancy where you can contribute your expertise to impactful and exciting studies!


To apply or for further information please contact Deborah Lewis, Senior Partner, Resources Group on applytodeborah@resourcesgroup.com or call 0207 242 6321.


Applications will only be considered from those based in the UK with current UK working rights.


About Resources Group


With over twenty five years’ experience helping thousands of Researchers, Insight Specialists and Data Analysts in their career moves, no one has better knowledge of the Market Research, Insights and Marketing Strategy job market than Resources Group. Our consultants take the time to understand your career aims and are dedicated to providing impartial advice and finding you the best career move, with access to an unrivalled range of opportunities with top employers in the sector - visit our website for many more options!


Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-22,[] +4075552732,https://uk.linkedin.com/jobs/view/machine-learning-scientist-at-fruition-it-4075552732?position=3&pageNum=2&refId=grdQjOQSUVsdctKo1BXxzA%3D%3D&trackingId=XcsjQoo56kyCKFschw4dlA%3D%3D,Machine Learning Scientist,Fruition IT,"London, England, United Kingdom","Machine Learning Scientist + +6 Month Contract + +UK / London - Remote + +An unique opportunity for an experienced Machine Learning Scientist to join a market-leading fintech and help shape customer experience with cutting-end ML models + + + + +The Machine Learning Scientist will jump in and work across the full end-to-end lifecycle to create and deploy innovative ML solutions. The Machine Learning Scientist will join a growing product-focused, cross-functional team working on key projects within a customer facing application. + + + + +Reporting into the Engineering Director, the Machine Learning Scientist will primarily work on NLP and text-based models, alongside advanced classification techniques and demand forecasting. Collaborating closely with both product and engineering teams, the Machine Learning Scientist will execute well-defined tasks that drive real impact. + + + + +Machine Learning Scientist - Key Requirements: + +Strong experience in Python and SQL +End-to-end machine learning experience, with a strong focus on modeling and some exposure to deployments +Skilled in NLP and text-based models. +Experience working in product-driven organisations and cross-functional teams. + + + + + + + +This is a hands-on role where you'll come in, execute, and make a real impact on customer focused features. If you're ready to tackle some key ML projects, we'd love to hear from you! + +We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. + +Show more ","
+ + + + + +
+
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Machine Learning Scientist

6 Month Contract

UK / London - Remote

An unique opportunity for an experienced Machine Learning Scientist to join a market-leading fintech and help shape customer experience with cutting-end ML models


The Machine Learning Scientist will jump in and work across the full end-to-end lifecycle to create and deploy innovative ML solutions. The Machine Learning Scientist will join a growing product-focused, cross-functional team working on key projects within a customer facing application.


Reporting into the Engineering Director, the Machine Learning Scientist will primarily work on NLP and text-based models, alongside advanced classification techniques and demand forecasting. Collaborating closely with both product and engineering teams, the Machine Learning Scientist will execute well-defined tasks that drive real impact.


Machine Learning Scientist - Key Requirements:

  • Strong experience in Python and SQL
  • End-to-end machine learning experience, with a strong focus on modeling and some exposure to deployments
  • Skilled in NLP and text-based models.
  • Experience working in product-driven organisations and cross-functional teams.



This is a hands-on role where you'll come in, execute, and make a real impact on customer focused features. If you're ready to tackle some key ML projects, we'd love to hear from you!

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

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",2024-11-13,[] +4074732715,https://uk.linkedin.com/jobs/view/data-scientist-at-cabot-financial-4074732715?position=4&pageNum=2&refId=grdQjOQSUVsdctKo1BXxzA%3D%3D&trackingId=7Qsf6xVl5AHK2WVLeEPhFA%3D%3D,Data Scientist,Cabot Financial,"London Area, United Kingdom","A unique and exciting opportunity has become available for a Data Scientist within the Group Decision Science team to join the Cabot Group on a permanent basis. + +This is a UK based hybrid role, with travel to our London office (EC4N 6HL) required up to 3/.4 times a month. + + + + +Job Purpose + +This role is for a commercially minded Data Scientist (analyst/senior analyst level depending on experience) in the Group Decision Science team. + +Our Decision Science team focus on: + +Understanding, measuring, and predicting customer behavior. The team uses both empirical and machine learning techniques to answer questions about customer behaviour in order to optimize collections. + +Asset valuation, cash flow and cost projections for portfolios of typically non-performing or distressed assets. + + + + +The successful candidate will: + +Support the growth of the Cabot business through hands on analytical project work. CCM operates in the UK, Rep. of Ireland, Spain, France, Portugal, Italy and Poland. + +Work on projects end to end including data extraction and model development, through to operational delivery. + +Support the senior data scientists in planning, presenting projects and making the best use of team resources. + +Ensure that our customers and customer experience is forefront in our thinking and how we approach projects. + + + + +Key Accountabilities & Responsibilities + +Responsible for work streams on projects to deliver statistical and empirical analytics. + +Data warehouse interrogation, data collection, sample selection and preparation. + +Statistical model building to agreed objectives and deadlines. + +Become a subject matter expert on understanding of where our data comes from, how it was created and an appreciation of the context in which was created, covering customer personal data, credit bureau data, transactional data, digital and telephony data. + +Over time should be able to develop commercially viable recommendations. + +Look for innovation in CCM statistical modelling techniques, which this role would also contribute to. + +Understand consumer behaviour relating to the services provided by CCM. + +Work with other teams and departments to ensure modelling output is effectively deployed into the business. + +Ensure decision science work carried by business units use sound statistical methodologies and team project management standards. + +Ensure projects are completed in reasonable timescales. + +Champion data quality improvement projects undertaken by the business. + +Manage/coordinate resources for the operational implementation of projects. + + + + + + + +Knowledge & Experience + +Highly numerate and detail oriented. + +Good understanding of the retail credit industry lifecycle. + +Covering: Acquisition, Customer mgmt. and Collections & Recoveries. + +2 years minimum work experience in an analytical role. + +Good knowledge of regression/tree-based algorithms. + +An appreciation of different modelling techniques and the circumstances in which they apply. + +Experience in deployment, auditing and monitoring live models. + +Competent using some ETL and statistical software (e.g. SAS, Python, R, SQL). + +Awareness of the data protection regulatory framework in the EU (GDPR). + +PC literate. MS Excel to a good standard. + +Experience in azure or databricks is desirable. + +Show more ","
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A unique and exciting opportunity has become available for a Data Scientist within the Group Decision Science team to join the Cabot Group on a permanent basis.

This is a UK based hybrid role, with travel to our London office (EC4N 6HL) required up to 3/.4 times a month.


Job Purpose

This role is for a commercially minded Data Scientist (analyst/senior analyst level depending on experience) in the Group Decision Science team.

Our Decision Science team focus on:

Understanding, measuring, and predicting customer behavior. The team uses both empirical and machine learning techniques to answer questions about customer behaviour in order to optimize collections.

Asset valuation, cash flow and cost projections for portfolios of typically non-performing or distressed assets.


The successful candidate will:

Support the growth of the Cabot business through hands on analytical project work. CCM operates in the UK, Rep. of Ireland, Spain, France, Portugal, Italy and Poland.

Work on projects end to end including data extraction and model development, through to operational delivery.

Support the senior data scientists in planning, presenting projects and making the best use of team resources.

Ensure that our customers and customer experience is forefront in our thinking and how we approach projects.


Key Accountabilities & Responsibilities

Responsible for work streams on projects to deliver statistical and empirical analytics.

Data warehouse interrogation, data collection, sample selection and preparation.

Statistical model building to agreed objectives and deadlines.

Become a subject matter expert on understanding of where our data comes from, how it was created and an appreciation of the context in which was created, covering customer personal data, credit bureau data, transactional data, digital and telephony data.

Over time should be able to develop commercially viable recommendations.

Look for innovation in CCM statistical modelling techniques, which this role would also contribute to.

Understand consumer behaviour relating to the services provided by CCM.

Work with other teams and departments to ensure modelling output is effectively deployed into the business.

Ensure decision science work carried by business units use sound statistical methodologies and team project management standards.

Ensure projects are completed in reasonable timescales.

Champion data quality improvement projects undertaken by the business.

Manage/coordinate resources for the operational implementation of projects.



Knowledge & Experience

Highly numerate and detail oriented.

Good understanding of the retail credit industry lifecycle.

Covering: Acquisition, Customer mgmt. and Collections & Recoveries.

2 years minimum work experience in an analytical role.

Good knowledge of regression/tree-based algorithms.

An appreciation of different modelling techniques and the circumstances in which they apply.

Experience in deployment, auditing and monitoring live models.

Competent using some ETL and statistical software (e.g. SAS, Python, R, SQL).

Awareness of the data protection regulatory framework in the EU (GDPR).

PC literate. MS Excel to a good standard.

Experience in azure or databricks is desirable.

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",2024-11-12,[]