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Lead Data Scientist
plays a critical role in our Business Analytics function, leveraging advanced analytics and machine learning to enhance risk-based decisions within our Health and Risk Solutions business. Collaboration with Pricing, Underwriting, and Clinical teams is crucial. This position reports directly to the Director of Data Science. Your Responsibilities: Utilize advanced data science methodologies to address various business challenges through predictive analysis, data modeling, visualization, and data profiling. Excel in data wrangling, feature engineering, model training, and evaluation. Select appropriate algorithms and statistical techniques tailored to project needs. Follow best practices for data mining and modeling established by the team. Collaborate with subject matter experts across the Health & Risk Solution business to craft predictive models and analytic solutions that align with business requirements. Create and sustain high-quality predictive models with advanced analytical approaches. Extract and analyze both internal and external data sources to effectively address key business questions related to risk assessment. Qualifications: Strong interpersonal skills with the capacity to engage with a diverse group of individuals. 4-5 years of hands-on experience in deploying data science techniques. BS/MS/PhD in a statistical, mathematical, or technical discipline such as data science, computer science, or actuarial science. Preferred experience with actuarial/pricing, underwriting, or similar concepts in the health insurance sector. Familiarity with pricing/underwriting advanced analytics within property & casualty insurance is a plus. Business acumen within the insurance industry is desirable. Excellent communication skills, capable of translating technical concepts for a non-technical audience. Strong attention to detail, ensuring accuracy and clarity in conveying insights. Proactive approach to problem-solving in collaboration with team members and subject matter experts. Proficiency in various statistical programming languages (e.g., R, Python, SQL) and data visualization tools (e.g., Tableau). Deep understanding of data science principles, including conditioning, modeling, integration, and visualization. Solid grasp of statistical and AI foundations of data science. Commitment to data compliance, model governance, and security protocols. Robust understanding of how our work influences business stakeholders. Compensation: $97,400 - $146,100 We prioritize pay transparency and equity, ensuring competitive compensation nationwide. The final salary will reflect your unique skills and experience, as well as the overall performance of the business. Our Commitment: We are dedicated to creating a supportive, inclusive environment where every employee can thrive. Our benefits encompass ample vacation and sick time, comprehensive medical coverage, paid family leave, and robust retirement plans. We are honored to be recognized as a top employer and remain committed to fostering diverse teams that enrich our workplace. Join us in making life brighter at Sun Life!
Sprachkenntnisse
- English
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