Drive the ongoing development and enhancement of TransUnion’s in-house Insurance Analytics platform (InsureR).
Apply 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.
Provide hands-on regional support, partnering with teams to troubleshoot and resolve issues within local analytic environments.
Play a key role in supporting global Data Science and Analytics (DSA) and Insurance Analytics teams.
Lead the development of analytic solutions using languages such as C++, R, Python, SQL, Hive and Spark.

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.
Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience.
Extensive mathematical programming and theoretical foundation.
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).
Good verbal and written communication skills in both Spanish and English.
Ability to translate technical concepts into articulate actionable recommendations.

A work environment that encourages collaboration and innovation.
Flexible time off.
Workplace flexibility.
Support of tuition reimbursement, conferences and seminars.
Modern computing environment based on best-in-class "big data" and cloud computing technologies.
Freedom to explore new data sources and statistical and machine learning methodologies.
Hands-on regional support.

Senior Consultant, Data Science and Analytics

Key skills