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What We'll Bring:

TransUnion, a global information and insights company, is seeking a highly-skilled Consultant for its Data Science & Analytics team.

You will apply your analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients, ranging from marketing and propensity models for customer acquisition and retention, fraud detection solutions, credit risk models for acquisition and account management, cross-sell applications, portfolio models for regulatory applications, event-based trigger solutions, and strategy analyses of various kinds. You will also develop complex analytic solutions to help streamline Transunion’s IT operations, improve data quality and customer experience partnering with other departments.

Advancement opportunities exist in both a technical and managerial track depending on the candidate’s desires and aptitudes.

What You'll Bring:

Protecting the health and wellness of our associates and candidates considering a career at TransUnion is our highest priority. In supporting this vision, our recruitment and new hire experience for this role is fully virtual for the time being. Candidates interviewing will get to know our team over the phone and video, and this role will operate virtually upon hire until we return to the office. Even though we’re not physically together right now, our goal is to provide you a supportive candidate and new hire experience that will immerse you in our culture and set you up for success at TransUnion.

Dynamics of the Role

TransUnion, a global information and insights company, is seeking a highly-skilled Consultant for its Data Science & Analytics team.

You will apply your analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients, ranging from marketing and propensity models for customer acquisition and retention, fraud detection solutions, credit risk models for acquisition and account management, cross-sell applications, portfolio models for regulatory applications, event-based trigger solutions, and strategy analyses of various kinds. You will also develop complex analytic solutions to help streamline Transunion’s IT operations, improve data quality and customer experience partnering with other departments.

Advancement opportunities exist in both a technical and managerial track depending on the candidate’s desires and aptitudes.

The Team’s Focus

The Data Science & Analytics team is an industry-recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the consumer identity and credit information space. We have a wealth of data and industry experience within our large group of highly-trained analysts, Data Scientists, engineers, and economists. We also have a modern computing environment based on best-in-class “big data” technologies and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.

How You’ll Contribute

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 an understanding of consumer lending, credit risk management practices, IT operations and process engineering.

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 the US financial services segment at TransUnion. 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 a variety of 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, SAS, Python, SQL, Hive, and Pig on Linux, PC, and mainframe computing platforms.
You 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.

What You’ll Bring
• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations
research, computer science or aligned discipline.
• 2-5 years practical experience working as a data scientist applying machine learning to real-world problems
• Great communication skills to articulate technical aspect of model development to internal and external customers
• Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature
Engineering, Decision Trees, Gradient Boosting etc
• Experience with common data science toolkits, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras
• Proficiency in using query languages such as SQL
• Good applied statistics skills, such as distributions, statistical testing, regression, regulation
• Logical, evidence-based problem solving and critical thinking skills.
• Team focused and evidence of supporting project team members.
Preferred:
• Exposure to credit or financial modeling
• Working familiarity with cloud computing environments.
• Exposure to NLP algorithms

Impact You'll Make:

What We Offer

We aim high — and are reaching for new heights every day. This is a terrific time to join our team as we build on our commitment to integrity, service, reliability, and innovation. These values stand behind the decisions we make every day, as well as our relationships at work and with the customers we serve. We believe in the power to achieve and are taking it in bold new directions.

Who We Are

A global leader in credit information and information management services, TransUnion gives businesses, consumers and the global community the power to achieve their goals. Businesses count on us to better manage risk and customer relationships. Consumers are able to better manage credit to achieve their financial goals.  And in communities around the world, we help build strong economies and give people the power to achieve their dreams.

Exceptional opportunities are coming as we build on this strong foundation. Our ambitious growth strategy includes substantial new investment worldwide, a wide range of new solutions to help our customers succeed like never before, and new ideas for expanding our reach in every part of our dynamic and fast-moving industry. We’re on an exciting journey and you can be a part of it.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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.

TransUnion Job Title

Sr Analyst, Data Science and Analytics