Senior Data Scientist

John Hancock; Boston (MA); Hybrid; USD 107,450 - 199,550; Full time

Benefits offered by this job

Health and dental insurance

Retirement savings plans

Generous paid time off

Job summary

John Hancock is seeking a Data Scientist to develop fraud detection and risk analytics models. This role requires expertise in machine learning and generative AI, with a master's or Ph.D. in a relevant field being essential. Working in a hybrid arrangement, the candidate will lead projects and collaborate across teams.

The position offers a competitive salary range from $107,450 to $199,550 based on experience and qualifications, along with comprehensive employee benefits.

Qualifications

• 5+ years of hands-on industry experience in developing probabilistic models.
• Strong focus on generative AI and RAG applications.
• Familiarity with advanced modeling and AI analysis.

Responsibilities

• Lead end-to-end development of fraud detection models.
• Perform advanced modeling on large datasets.
• Collaborate with data engineers to integrate solutions.

Skills

Probabilistic modeling

Machine learning algorithms

Python programming

AI analysis

Generative AI

Collaboration

Education

Master’s or Ph.D. in Computer Science, Data Science, Statistics, Engineering, Physics

Tools

PyTorch

Scikit-learn

SQL

Graph databases

Job description

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, 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 with diverse layouts, 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 enhance 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 participate 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, 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.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.

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.

Benefits

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.

Application Process

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.