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About the Role

Lead the design and deployment of high impact machine learning and AI solutions, combining traditional statistical modeling with advanced AI and Generative AI techniques. Work closely with business partners to translate complex fraud and risk problems into scalable, production-ready analytical and AI solutions to protect policyholders, ensure program integrity, and improve operational efficiency.

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 such as GPT models, and other innovative architectures.
• Manage cloud-based solutions to ensure scalability, security, and performance.
• Build and optimize modular RAG (Retrieval-Augmented Generation) systems, apply advanced retrieval methods, and evaluate and monitor RAG system performance.
• Apply large language models (LLMs) to parse complex documents and handle diverse layouts, converting them into machine-readable formats to extract structured information.
• Stay up-to-date with advancements in Generative AI, prompt engineering, Agentic Framework, and cloud technologies.
• Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
• Communicate sophisticated technical concepts and findings to both technical and non-technical partners.
• Review the work of other Data Scientists and participate in model and code reviews.
• Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.

Requirements

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

Skills

• Generative AI
• Prompt Engineering
• RAG Applications
• Fine-tuning LLM models
• Cloud Platforms (Azure)
• Probabilistic Models
• Anomaly Detection
• Ensemble Approaches
• Large Language Models (LLMs)
• Python
• PyTorch
• scikit-learn
• Hugging Face
• SQL
• Graph Databases (Neo4j/Cypher, Cosmos DB)
• Software Engineering Practices
• Code Reviews
• Source Control Management
• Build Processes
• Testing
• Operations
• Collaboration
• Problem-Solving
• Critical Thinking
• Creative Thinking
• Communication

Location

• Boston, Massachusetts

Work Type

• Hybrid

Experience Level

• Senior
• 5+ years

Education Level

• Master's Degree
• Ph.D. Degree

Salary/Compensations

• $107,450.00 USD - $199,550.00 USD

Benefits

• Opportunity to learn and grow career.
• Flexible environment.
• Well-being and inclusion support.
• Health insurance.
• Dental insurance.
• Mental health insurance.
• Vision insurance.
• Short-term disability insurance.
• Long-term disability insurance.
• Life insurance.
• AD&D insurance coverage.
• Adoption/surrogacy benefits.
• Wellness benefits.
• Employee/family assistance plans.
• Retirement savings plans (pension/401(k) savings plans).
• Global share ownership plan with employer matching contributions.
• Financial education and counseling resources.
• Up to 11 paid holidays.
• 3 personal days.
• 150 hours of vacation.
• 40 hours of sick time (or more where required by law).
• Full range of statutory leaves of absence.

About the Company

• Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.
• Company: John Hancock Life Insurance Company (U.S.A.)

Equal Opportunity

• 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.