Annuities • Life Insurance • Workforce Benefits • Institutional Solutions • Investments
1001 - 5000
October 15
Annuities • Life Insurance • Workforce Benefits • Institutional Solutions • Investments
1001 - 5000
• Providing model driven insights to business partners • Lead the development and implementation of data-driven models and algorithms to enhance the underwriting process • Collaborate with cross-functional teams to identify opportunities for process improvement and innovation • Analyze large and complex datasets to extract actionable insights and support decision-making • Develop predictive models to assess risk and improve underwriting accuracy • Implement machine learning techniques to automate and optimize underwriting workflows • Stay up-to-date with industry trends and advancements in data science and machine learning • Mentor and guide junior data scientists and analysts • Communicate findings and recommendations to stakeholders through clear and concise reports and presentations
• Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field • Proven experience (8+ years) as a Data Scientist, preferably in the life insurance or financial services industry • Strong proficiency in programming languages such as Python and SQL • Experience with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn) • Excellent analytical and problem-solving skills • Strong communication and presentation skills • Ability to work collaboratively in a team environment • Knowledge of life insurance underwriting processes and regulations is a plus
• Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents • Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off • Paid Parental Leave as well as an Adoption Assistance Program • Competitive 401k savings plan with company match and an additional contribution regardless of participation
Apply NowOctober 14
1001 - 5000
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