Senior Data Scientist

Manulife • Boston, MA

1d • $107,450 - $199,550 • Hybrid

About The Position

The Senior Data Scientist – GenAI will join the Long Term Care (LTC) Fraud, Waste & Abuse (FWA) Advanced Analytics team and lead the design and deployment of machine learning and AI solutions. The work combines traditional statistical modeling with generative AI techniques, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning large language models, and deploying applications on cloud platforms such as Azure.

The role partners with business stakeholders to translate fraud and risk problems into scalable, production-ready analytical and AI solutions that help protect policyholders, support program integrity, and improve operational efficiency. It also involves collaboration with data and ML engineers, cross-functional teams, and other data scientists, as well as communicating findings to technical and non-technical partners.

The position is based on a hybrid working arrangement. The advertised role is an existing vacancy.

Requirements

• Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field.
• At least 5 years of hands-on industry experience developing probabilistic models, analytics, and machine learning algorithms, including real-world application of analytics models, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
• Proficiency in Python and experience with machine learning libraries or frameworks such as PyTorch, scikit-learn, and Hugging Face.
• Experience with SQL and graph databases such as Neo4j/Cypher or Cosmos DB.

Nice To Haves

• Knowledge of professional software engineering practices and standard methodologies across the software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Strong collaboration and elaboration skills, commitment to organizational success, and willingness to share resources and knowledge across the organization.
• Strong problem-solving skills and the ability to think critically and creatively to develop innovative solutions.
• Excellent communication and collaboration skills and the ability to work effectively in cross-functional teams.

Responsibilities

• Lead end-to-end development of fraud detection and risk analytics models, including probabilistic models, anomaly detection, and ensemble approaches.
• Perform advanced modeling and AI analysis on large, complex datasets to identify emerging fraud patterns and root causes.
• Develop, fine-tune, and deploy generative AI models, including GPT models, and select, optimize, and evaluate models for performance and accuracy.
• Manage cloud-based AI solutions to support scalability, security, and performance.
• Build and optimize modular RAG systems, apply advanced retrieval methods, and evaluate and monitor RAG performance.
• Use LLMs to parse complex documents and varied layouts, including multi-column text, tables, and images, and convert content into machine-readable formats for structured information extraction.
• Stay current with advancements in generative AI, prompt engineering, agentic frameworks, and cloud technologies, and apply them to enhance data science capabilities.
• Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
• Communicate technical concepts and findings to technical and non-technical partners to support clear understanding and agreement.
• Review other Data Scientists’ work and participate in model and code reviews.
• Collaborate with cross-functional teams to identify and define business requirements and align them with data science objectives.

Benefits

• Eligible employees may receive health, dental, mental health, vision, short- and long-term disability, and life and AD&D insurance coverage.
• Adoption and surrogacy benefits, wellness benefits, and employee/family assistance plans are offered to eligible employees.
• Retirement savings plans, including pension and 401(k) plans, and a global share ownership plan with employer matching contributions are available to eligible employees.
• Financial education and counseling resources are offered.
• The U.S. paid time off program includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time per year, or more where required by law.
• The company offers statutory leaves of absence.
• Employees may participate in incentive programs and earn incentive compensation tied to business and individual performance.
• The company describes a flexible environment focused on employee well-being and inclusion.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior