Team Overview Sr. Analyst, Data Science and Analytics

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview And Core Responsibilities What we'll bring: A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile. • Workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. • Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius. • We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies. • Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them. • What you'll bring: Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least five (5) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry • Strong analytical, critical thinking, and creative problem-solving skills • Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools • Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment • Strong project management skills with the ability to manage multiple assignments effectively • Ability to travel 10-20%Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Lead analytic client engagements using segmentation, regression and simulation methods
Write programs for data extraction and statistical analysis on large datasets
Develop predictive risk management solutions for credit card issuers and lenders
Mentor and train junior colleagues while managing initiatives with limited supervision
You will lead analytic client engagements involving descriptive, predictive, and prescriptive leveraging various techniques
You will design and write programs for data extraction, segmentation, and statistical analysis on large population datasets
This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders
You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
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Sr. Analyst, Data Science and Analytics

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Role Overview And Core Responsibilities What we'll bring: A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile. • Workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. • Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius. • We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies. • Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them. • What you'll bring: Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least five (5) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry • Strong analytical, critical thinking, and creative problem-solving skills • Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools • Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment • Strong project management skills with the ability to manage multiple assignments effectively • Ability to travel 10-20% Required Knowledge And Experiences
Required Knowledge And Experiences What we'd prefer to see: Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least two (2) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry • Familiarity with credit bureau data and business practices • Experienced in designing, developing, and deploying consumer credit models for the Financial Services industry • Operates independently in a complex and dynamic, matrixed environment • Experienced working in a company with a global presence • Experience with modern "big data" frameworks (Hadoop, Spark, cloud) • Impact you'll make: This position is responsible for developing data-driven solutions to challenging and complex problems related to IT infrastructure/ operations, data ingestion and quality control, and enhancing customer experience. You will also be responsible for consumer credit models, strategies, and business intelligence solutions through consulting engagements and research serving TransUnion and its clients. This position requires understanding consumer lending and credit risk management practices You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value added product propositions for B2B customers in TransUnion's US financial services segment. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks. • You will lead analytic client engagements involving descriptive, predictive, and prescriptive leveraging various techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis). • You will design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on Linux, PC, and other big data computing platforms ou will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience. • You will develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion. • You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services. • You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision. • You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. • We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion Overview:
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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Team Overview
Sr. Analyst, Data Science and Analytics

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.Role Overview And Core Responsibilities
What we'll bring: A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile. • Workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. • Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius. • We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies. • Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them. • What you'll bring: Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least five (5) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry • Strong analytical, critical thinking, and creative problem-solving skills • Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools • Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment • Strong project management skills with the ability to manage multiple assignments effectively • Ability to travel 10-20%
Required Knowledge And Experiences
What we'd prefer to see: Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least two (2) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry • Familiarity with credit bureau data and business practices • Experienced in designing, developing, and deploying consumer credit models for the Financial Services industry • Operates independently in a complex and dynamic, matrixed environment • Experienced working in a company with a global presence • Experience with modern "big data" frameworks (Hadoop, Spark, cloud) • Impact you'll make: This position is responsible for developing data-driven solutions to challenging and complex problems related to IT infrastructure/ operations, data ingestion and quality control, and enhancing customer experience. You will also be responsible for consumer credit models, strategies, and business intelligence solutions through consulting engagements and research serving TransUnion and its clients. This position requires understanding consumer lending and credit risk management practices You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value added product propositions for B2B customers in TransUnion's US financial services segment. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks. • You will lead analytic client engagements involving descriptive, predictive, and prescriptive leveraging various techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis). • You will design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on Linux, PC, and other big data computing platforms ou will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience. • You will develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion. • You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services. • You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision. • You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. • We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
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