Associate Data Scientist

Manulife • Boston, MA

2d • $80,625 - $134,375 • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• 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.
• 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.
• 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.

What This Job Offers

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