Lead Data Scientist - Hybrid

Job summary

The Lead Data Scientist will develop and deliver advanced machine learning and statistical solutions to improve automated underwriting and business decision-making. This role involves leading projects from problem definition through implementation while providing technical direction and mentorship to the team.

Job details

The Opportunity We are seeking a Lead Data Scientist to develop advanced analytics and AI solutions that improve underwriting decisions, expand automation, and deliver measurable business value. The successful candidate will lead complex analytical work from problem definition through model development, implementation, and ongoing enhancement. This role requires strong data science expertise, solid life insurance underwriting knowledge, and the ability to provide technical direction across projects. Job Summary The Lead Data Scientist is responsible for developing and delivering statistical and machine-learning solutions for automated underwriting and related business problems. The role translates complex business needs into rigorous analytical approaches and ensures that solutions are accurate, interpretable, scalable, and practical for business use. This is a hands-on role that also provides technical direction, reviews analytical work, mentors other data scientists, and communicates recommendations to technical and business stakeholders. Position Responsibilities Partner with underwriting, business, product, and technology stakeholders to identify and prioritize data science opportunities. Lead data science projects from problem definition and data exploration through modeling, evaluation, implementation, and enhancement. Develop statistical and machine-learning models using techniques appropriate to the business problem, available data, and intended use. Analyze large and complex datasets to identify patterns, generate insights, and support business decisions. Define model-evaluation approaches and ensure solutions are accurate, interpretable, stable, and aligned with business objectives. Evaluate new data sources, analytical methods, and third-party solutions through structured analysis and experimentation. Collaborate with data engineers, machine-learning engineers, software engineers, and technology teams to implement analytical solutions in production. Monitor model performance, investigate unexpected outcomes, and recommend improvements as data and business conditions evolve. Prepare clear technical documentation to support implementation, validation, governance, and ongoing model management. Provide technical direction, review analytical work, and mentor data scientists and other analytical contributors. Qualifications Bachelor’s or advanced degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Actuarial Science, Economics, or a related quantitative field. 8 years of experience applying statistics, machine learning, or predictive analytics to complex business problems. Strong knowledge of statistical modeling, machine learning, model evaluation, and experimental design. Proficiency in Python or R and SQL, with experience working with large and complex datasets. Demonstrated experience developing analytical solutions from concept through production implementation and monitoring. Experience leading analytical workstreams and providing technical guidance to other data scientists. Strong problem-solving, communication, and technical documentation skills. Solid experience in life insurance underwriting, automated underwriting, risk selection, or related insurance analytics. Experience with cloud-based analytics platforms, model governance, external data evaluation, or third-party model assessment is an asset. Familiarity with actuarial concepts, mortality analytics, or an actuarial designation is an asset but not required. When you join our team: 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. The role being advertised is an existing vacancy. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html. Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com. Referenced Salary Location Boston, Massachusetts Working Arrangement Hybrid Salary range is expected to be between $127,330.00 USD - $236,470.00 USD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location. 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. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous 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 (or more where required by law) each year, and we offer the full range of statutory leaves of absence. We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify Company: John Hancock Life Insurance Company (U.S.A.)

What you’ll do

The Lead Data Scientist will develop and deliver advanced machine learning and statistical solutions to improve automated underwriting and business decision-making. This role involves leading projects from problem definition through implementation while providing technical direction and mentorship to the team.

Requirements

Candidates must have a bachelor's or advanced degree in a quantitative field and at least 8 years of experience in statistics, machine learning, or predictive analytics. Proficiency in Python or R and SQL is required, along with solid experience in life insurance underwriting or related insurance analytics.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Mental health benefits
• Short-term disability
• Long-term disability
• Life insurance
• AD&D insurance
• Adoption/surrogacy benefits
• Wellness benefits
• Employee assistance plans
• Retirement savings plans
• 401(k) savings plan
• Global share ownership plan
• Paid time off
• Paid holidays
• Sick time

Listed skills

• SQL · Preferred
• Machine learning · Preferred
• Stakeholder Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data science
• Machine learning
• Statistical modeling
• Python
• R
• SQL
• Predictive analytics
• Life insurance underwriting
• Automated underwriting
• Risk selection
• Experimental design
• Model evaluation
• Data exploration
• Technical leadership
• Mentoring
• Stakeholder management
• Risk Selection
• Life Insurance Underwriting
• Workplace Inclusivity
• Business Problems
• Business Objectives
• Time Off Management
• Advanced Analytics
• Business Decisions
• Machine Learning Model Monitoring And Evaluation
• Information Gathering
• Analytical Method
• Data Analysis
• Automation
• Underwriting
• Mental Health
• Management
• Business Valuation
• Communication
• Computer Science
• Design of Experiments (DOE)
• Economics
• Financial Education
• Geography
• International Finance
• Governance
• Scalability
• Problem Solving
• Python (Programming Language)
• Machine Learning
• Mathematics
• Predictive Analytics
• Software Engineering
• SQL (Programming Language)
• Statistical Modeling

Job areas

• Data & Analytics
• Finance & Accounting
• Technology
• Software
• Management & Leadership
• Lead Data Scientist
• Data Scientist
• Systems Analysts
• Data Scientists

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