Senior Data Scientist Insurance

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What We'll Bring:

What You'll Bring:

• Master's or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor's degree in a quantitative field with 3 years of relevant professional experience
• 2+ years of experience directly supporting internal or external clients performing analytic work
• Ability to apply strong project and time management skills to lead multiple projects simultaneously with limited supervision in a collaborative and fast-paced environment
• Proven ability to operate effectively in a complex and dynamic, matrixed environment.
• Advanced programming languages (R or Python, SQL, C/C++, Java or Ab Initio, Hive or Spark)
• Ability to travel 10-20% of the time

We'd Love to See:

• Experience in industries served by Transunion (financial services, fraud, and digital marketing)
• Prior experience working in the insurance industry

Impact You'll Make:

This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a good general understanding of US financial services risk management practices and familiarity with credit bureau data and solutions.

• Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term, value-added solutions to TransUnion customers. (The development of predictive models and business intelligence solutions for customers within the various industries served by TransUnion.)
• Lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design, to development, to peer review, to client presentation, to implementation and audit.
• Own analytic consulting responsibilities for a variety of clients, working to identify strategies and opportunities to test and adopt TransUnion's analytic products and services. In this capacity, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support.
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• Provide oversight and hands-on support for the development of analytic solutions using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
• Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
• Participate in the mentoring and training of junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand.

Benefits:

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion's Employee Resource Groups.

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

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