Insurance Data Scientist

What We'll Bring:
What We'll Bring:

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation - we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology

What You'll Bring:

  • You come in with 1-2 years of academic or professional analytical or modeling experience with solid knowledge of statistical methods such as GLM and machine learning techniques such as random forest, GBM, XGBoost, etc.
  • Advanced proficiency with one or more statistical programming languages such as R, Python, or H2O
  • Intellectual curiosity and experience writing intermediate or advanced SQL queries for data extraction
  • Ability to clearly articulate ideas to both technical and non-technical audiences
  • Your strong project management and time management skills including the ability to prioritize and contribute to multiple assignments simultaneously, setting clear goals, and managing customer expectations
  • You have an advanced degree in fields of quantitative discipline such as Statistics, Analytics, or any STEM field


What we love to see:
  • Prior Marketing Analytics experience
  • Strong data visualization skills
  • Experience working with large data sets and tools such as Hive, Pig, Apache Spark, etc.


Impact You'll Make:

Impact You'll Make:
  • Participate in insurance analytics tool development projects
  • Collaborate with internal and external partners to develop advanced analytical solutions for insurance marketing and retention
  • Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques
  • Lead small projects and/ or work streams as a part of larger projects
  • Extract insights from large data sets using languages such as R, SAS, SQL, and Python


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's Internal Job Title:
Analyst, Data Science and Analytics


Back to top