Data Scientist for Actuarial Modeling
3 days ago
We are seeking a skilled Data Scientist to join our Data and AI capability at Fractal, a strategic AI partner to Fortune 500 companies.
Key ResponsibilitiesAs an Actuarial Data Scientist, you will utilize your mathematical expertise to assess financial risks, optimize insurance pricing models, and develop predictive models using advanced data science methods. Your skills in actuarial science, statistical analysis, and data manipulation will enable you to make data-driven decisions and communicate complex findings effectively to stakeholders.
RequirementsTo succeed in this role, you should have:
- Proficiency in actuarial science tools and techniques, including frequency and severity modeling, survival analysis, and risk assessment methodologies.
- Programming skills in Python (Pandas, NumPy), R (actuarial science packages), SQL, and Excel for data manipulation, cleaning, and ETL processes.
- Experience with machine learning libraries like Scikit-Learn, TensorFlow, and actuarial libraries such as lifelines (for survival analysis) and actuarial-specific packages in R.
- Advanced knowledge of data science libraries, including Pandas, Seaborn, and Matplotlib for data wrangling and visualization.
- Excellent understanding of general insurance pricing, stochastic modeling, and advanced actuarial techniques for accurate risk assessment and pricing.
At Fractal, we offer a dynamic work environment, competitive salary ($120,000 - $180,000 per year), and opportunities for growth and professional development. Our inclusive culture values diversity, equality, and respect for all employees and applicants.
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