Senior Data Scientist

Manulife Financial; Boston (MA); Hybrid; USD 107,000 - 200,000; Full time

Job summary

Manulife Financial is seeking a Senior Data Scientist – GenAI to join the LTC FWA Advanced Analytics team in Boston. Lead design and deployment of ML/AI solutions, blending traditional modeling with Generative AI, prompt engineering, and RAG to protect policyholders and improve program integrity.

Collaborate with data and ML engineers to deliver production‑ready solutions; communicate findings to diverse stakeholders.

Qualifications

• Master’s or Ph.D. 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, including real-world experience applying analytics models with a focus on ML, generative AI, real-time engineering, and RAG applications.
• Proficiency in programming languages such as Python and experience with ML libraries/frameworks (e.g., PyTorch, scikit-learn, Hugging Face, SQL).

Responsibilities

• Lead end-to-end development of fraud detection and risk analytics models, including probabilistic models and anomaly detection.
• Perform advanced modeling and AI analysis on large datasets to identify emerging fraud patterns and root causes.
• Develop, fine-tune, and deploy Generative AI models (GPT and others) with cloud-based solutions for scalability and security.
• Build and optimize modular RAG systems and evaluate their performance.
• Apply LLMs to parse complex documents and extract structured information from diverse layouts.
• Stay up-to-date with Generative AI, prompt engineering, and cloud technologies to enhance data science capabilities.
• Collaborate with data and ML engineers to integrate solutions into existing systems.
• Communicate complex technical concepts to both technical and non-technical partners.
• Review work of other Data Scientists and participate in model/code reviews.
• Collaborate with cross-functional teams to align business requirements with data science objectives.

Skills

Probabilistic models

Anomaly detection

ML algorithms

Generative AI

RAG

Prompt engineering

Python

PyTorch

scikit-learn

Hugging Face

SQL

Neo4j/Cypher

Cosmos DB

Education

Master’s or Ph.D. in a quantitative field

Tools

Python

PyTorch

scikit-learn

Hugging Face

SQL

Neo4j/Cypher

Cosmos DB

Job description

We are seeking a highly skilled and motivated Senior Data Scientist – GenAI to join the Long Term Care (LTC) Fraud, Waste & Abuse (FWA) Advanced Analytics team. In this role, you will lead the design and deployment of high impact machine learning and AI solutions—combining traditional statistical modeling with advanced AI and Generative AI techniques including but not limited to generative AI techniques, such as applying prompt engineering, working with RAG applications, fine-tuning LLM models, and deploying applications on cloud platforms like Azure.

You will work closely with business partners to translate complex fraud and risk problems into scalable, production ready analytical and AI solutions. Your work will directly protect policyholders, ensure program integrity, and improve operational efficiency.

Position 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.
• Demonstrate proficiency in developing, fine-tuning, and deploying Generative AI models such as GPT models, as well as other innovative architectures. This includes understanding the nuances of model selection, optimization, and evaluation to ensure high performance and accuracy, while managing 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 the performance of RAG systems.
• Apply large language models (LLMs) to parse complex documents and handle diverse layouts, such as multi-column text, tables, and images, and converting them into machine-readable formats to extract structured information.
• Stay up-to-date with the latest advancements in Generative AI, prompt engineering, Agentic Framework, and cloud technologies, to apply them and enhance our data science capabilities.
• 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, ensuring clear understanding and agreement.
• Review the work of other Data Scientists and take part in model and code reviews.
• Collaborate with multi-functional teams to identify and define business requirements, ensuring alignment with data science objectives.

Required Qualifications:

• 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, including real world experience of applying analytics models, with a strong focus on machine learning, generative AI, timely engineering, and RAG applications
• Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB

Preferred Qualifications:

• Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Strong collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates 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, with the ability to work optimally in multi-functional teams.
• Strong problem solving mindset with the ability to think critically and creatively.
• Excellent communication and collaboration skills, with comfort working in cross functional teams.

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.

#LI-Hybrid

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 [e-mail].

Referenced Salary Location

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

$107,450.00 USD - $199,550.00 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 [e-mail] 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.)