Actuarial Data Scientist

Are you ready to shape the future of life insurance product development? Join our advanced analytics and AI team, where you’ll work with data from across our global enterprise to solve high-impact actuarial problems. You’ll have the opportunity to understand, predict, and influence actuarial assumptions, helping us accelerate product development cycles and deliver more competitive pricing and features.

As an Actuarial Data Scientist, you’ll collaborate with actuarial, business, and technology teams to tackle challenges such as experience studies, reserve forecasting, assumption setting, and risk modeling. Your work will directly impact how we design, price, and launch innovative insurance products.

• Partner with actuarial and business leaders to identify opportunities for analytics-driven solutions in product development, pricing, and assumption management.
• Develop and implement models for experience studies, reserve forecasting, and risk assessment using advanced statistical and machine learning techniques.
• Analyze large, complex actuarial and financial datasets to generate actionable insights and recommendations.
• Collaborate with IT and business operations to bring models and analytics solutions into production, driving real changes in actuarial processes.
• Communicate findings clearly to both technical and non‑technical stakeholders, helping them interpret results and make informed decisions.
• Stay current with new methodologies, tools, and data sources relevant to actuarial science and insurance analytics.
• Contribute to a culture of innovation by sharing ideas, mentoring junior team members, and participating in cross‑functional projects.

• Experience in life insurance product development or pricing (or closely related actuarial/quantitative roles), with a solid understanding of insurance concepts and business drivers. An actuarial designation (ASA, FSA, FCIA) is a plus but not required.
• Bachelor’s or advanced degree in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, Engineering, Actuarial Science, or a related discipline.
• Strong programming skills are essential, with demonstrated experience using Python for data analysis, modeling, or production-quality code. Experience with MATLAB is a strong plus; familiarity with R or SQL is also beneficial.

• Curiosity and willingness to learn new tools, frameworks, and methodologies, particularly at the intersection of data science, AI, and insurance product innovation.
• Strong communication and collaboration skills, with the ability to translate technical results into clear insights for cross‑functional stakeholders (e.g., product, actuarial, technology).
• Ability to manage competing priorities and deliver high‑quality results in a fast‑paced, evolving environment.

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

Location:

Boston, Massachusetts (Hybrid work arrangement)

Salary range: $90,160.00 USD – $ USD (actual salary will vary based on market conditions, geography, and job-related factors such as knowledge, skills, qualifications, experience, and education).

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. Retirement savings plans (pension/401(k) and a global share ownership plan with employer matching contributions) and financial education and counseling resources are also available. The paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time per year, with additional statutory leaves of absence as required by law.

Manulife is an Equal Opportunity Employer. At Manulife/John…