[Hiring] Senior Consultant, Data Science and Analytics @TransUnion

Role Description

As a Sr Consultant in Data Science and Analytics, you will drive the ongoing development and enhancement of TransUnion’s in-house Insurance Analytics platform (InsureR), applying advanced expertise in machine learning, mathematical programming, and software development to deliver scalable, high-quality solutions.

• Enhance the usability and effectiveness of analytic tools by contributing to UI/UX improvements that enable better user experiences and adoption.
• Provide hands-on regional support, partnering with teams to troubleshoot and resolve issues within local analytic environments, ensuring continuity and performance.
• Support global Data Science and Analytics (DSA) and Insurance Analytics teams, strengthening critical capabilities that power enterprise-wide analytics solutions.
• Lead the development of analytic solutions using languages such as C++, R, Python, SQL, Hive, and Spark, formalizing some of these efforts into repeatable process improvements.
• Assist Global Technology with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster.
• Own data science consulting responsibilities for a variety of regions, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services.
• 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.
• 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.
• May participate in the interviewing and evaluation of new talent.

Qualifications

• Master’s degree in statistics, economics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least 3 years of experience; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience.
• Demonstrate a consistent track record of academic excellence.
• Experienced data scientist with extensive mathematical programming and theoretical foundation and advanced software development skills.
• Advanced C++ programming skills, preferably in scientific computing applications.
• Experience designing and implementing advanced numerical algorithms.
• Experience with integrating popular machine learning frameworks (such as XGBoost, LightGBM, H2O).
• Proficiency with statistical languages such as R or machine learning packages for Python.
• Experience with other programming languages (Scala, Java) and HPC environments (Slurm, Univa, SGE, Torque).
• Advanced SQL programming skills and experience with big data platforms (Hadoop, Spark, Hive); knowledge of Apache Arrow is a plus.
• Experience engineering connections between big data frameworks and front end applications (Shiny, Streamlit, Dash, Tableau).
• Evidence of strong analytical, critical, and creative thinking.
• Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
• Strong project and time management skills to lead multiple complex projects simultaneously.
• Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels.
• Good verbal and written communication skills in both Spanish and English.
• Ability to travel 10-20% of the time.

Requirements

• Familiarity with insurance solutions.
• The desire to work on full-stack data science solutions and engage in continuous learning.
• Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
• Knowledge of various ETL techniques and frameworks.
• Work experience in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.

Benefits

• A work environment that encourages collaboration and innovation.
• Flexible time off and workplace flexibility.
• Support for continued professional growth through tuition reimbursement, conferences, and seminars.
• A modern computing environment based on best-in-class "big data" and cloud computing technologies.
• A culture that encourages honing current skills and building new capabilities.
• Access to a team of brilliant minds in the market.

Company Description

TransUnion is dedicated to providing innovative solutions in the fields of financial services, insurance, fraud, and digital marketing.