We are seeking a motivated Associate Data Scientist to join the Long Term Care (LTC) Fraud, Waste & Abuse (FWA) Advanced Analytics team. In this role, you will contribute to the development and deployment of data-driven and AI-powered solutions that help detect fraud, protect policyholders, and improve operational efficiency.

You will work under the guidance of senior data scientists and collaborate closely with business partners, data engineers, and ML engineers to translate fraud and risk problems into scalable analytical solutions. This role offers strong opportunities for mentorship, hands-on learning, and professional growth in applied machine learning and AI, including exposure to Generative AI use cases.

Position Responsibilities:

Modeling & Analytics

• Support the development and enhancement of fraud detection and risk analytics models, including statistical models, anomaly detection, and machine learning approaches.
• Perform exploratory data analysis on large and complex datasets to identify fraud patterns, trends, and data quality issues.
• Assist in training, evaluating, and monitoring machine learning models to ensure performance and stability in production environments.

AI & Emerging Technology Exposure

• Contribute to Generative AI initiatives such as prompt engineering, RAG (Retrieval-Augmented Generation) pipelines, or document-understanding use cases under senior guidance.
• Help prepare and structure data for LLM-based applications, including extracting information from complex documents (e.g., multi-column text, tables).
• Stay curious and continue learning about advancements in machine learning, generative AI, and cloud-based analytics tools.

Collaboration & Communication

• Partner with senior data scientists, engineers, and business stakeholders to understand requirements and deliver analytical solutions.
• Clearly document analyses, models, and assumptions to support knowledge sharing and auditability.
• Communicate insights and results to both technical and non-technical audiences with guidance and support.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.
• 0-3 years of hands-on experience in data science, machine learning, or AI.
• Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit learn, PyTorch, or similar).
• Proficiency in SQL and relational databases; exposure to big data or cloud platforms is a plus.
• Familiarity with Generative AI concepts (LLMs, prompt engineering, embeddings, RAG) through coursework or projects.

Preferred Qualifications:

• Experience with version control (e.g., Git) and basic software engineering best practices.
• Strong analytical and problem solving skills with attention to detail.
• Good communication skills and the ability to work effectively in cross functional teams.
• Eagerness to learn, take feedback, and grow in a collaborative environment.

• 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., 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.

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.