Data Science Analyst at TransUnion focused on data insights in analytics initiatives. Requires a bachelor's degree and significant experience with technologies like SQL, R, and Tableau.
About the role
- Predictive Modeler/Data Scientist conducting predictive modeling and analysis within FCCI's growing organization. Collaborating with actuaries and data scientists to support strategic business decisions.
Responsibilities
- Perform hands-on predictive modeling and in-depth analysis to guide and support strategic business decisions.
- Organize, analyze and execute all phases of quantitative research and machine learning projects, from identifying the business problem to data exploration and modeling.
- Projects might include performing financial and business modeling, evaluating the business implications of strategic initiatives, servicing model changes and enhancements, and/or evaluating changes in the market or regulatory environment.
- Develop and apply complex predictive models using multiple statistical and machine learning techniques, as well as develop new tools and methods to enhance model results.
Requirements
- Bachelor’s Degree in Mathematics, Statistics, Actuarial Science, Computer Science, Engineering, or a quantitative Business discipline; Master’s preferred.
- Minimum of two years relevant experience in Modeling/Statistics/Actuarial Analysis/Finance/Operations preferably within the Property and Casualty environment.
- Solid working knowledge of statistical modeling techniques such as linear regression, generalized linear models, data visualization, tree-based models, cluster analysis, principal components and feature creation.
- Solid working knowledge of R and/or Python statistical and machine learning tools and/or other relevant packages for data management and statistical analysis.
- Experience with SAS and/or SQL a plus.
- Solid working knowledge of the P&C industry, including financial statements.
- Ability to utilize the full spectrum of analytical techniques (predictive modeling, simulation, linear programming, cluster analysis, forecasting, etc.) to answer financial, strategic, and operational business questions.
- Ability to communicate findings and implications of quantitative studies and analysis with confidence to all levels.
- Excellent communication, negotiation, interpersonal and organizational skills.
- Ability to analyze, define and solve problems; the use of good judgment and decision-making.
- CPCU designation or completion of actuarial exams preferred.
Benefits
- Flexible Work Environment
- Paid Family Leave
- Competitive PTO & Holidays
- Recognition & Bonus Programs
- Medical, Vision, Dental & Life Insurance
- Employee Referral Bonus
- Paid Volunteer Time
- 401(k) Match & Profit-Sharing
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