Data Scientist - Hybrid

Manulife • Boston, MA

6d • Hybrid

About The Position

This is a great opportunity to attract AI and GenAI talent in a highly competitive market. The key is to focus on the business impact, cutting-edge technology, and career growth opportunities rather than simply listing responsibilities. Data Scientist, AI & Generative AI John Hancock | Boston, MA / Toronto, ON Shape the Future of AI in Insurance At John Hancock, we're transforming the way people buy, manage, and benefit from life insurance. Our AI team is at the forefront of this journey, leveraging Artificial Intelligence and Generative AI to simplify customer experiences, optimize sales and marketing, strengthen fraud detection, and modernize operations. As a Data Scientist, AI & Generative AI , you'll work on high-impact initiatives that directly influence business outcomes across our U.S. Insurance business. You'll collaborate with business leaders, technology teams, and a global network of over 160 data scientists across John Hancock and Manulife, giving you exposure to world-class expertise and innovative AI applications. If you're passionate about building production-grade AI solutions, experimenting with emerging GenAI technologies, and solving complex business problems, we'd love to hear from you.

Requirements

• Master's or PhD degree in Statistics, Applied Mathematics, Data Science, Computer Science, Engineering, Physics, or a related quantitative field.
• 2+ years of industry experience developing and deploying AI and Generative AI solutions.
• Strong programming skills in Python and SQL.
• Experience designing and executing data science experiments and machine learning projects.
• Ability to translate business problems into scalable AI solutions.

Nice To Haves

• Experience with Python libraries such as Pandas, Scikit-learn, Keras, NLTK , and similar tools.
• Hands-on experience with LLM development frameworks such as LangChain and Semantic Kernel.
• Knowledge of relational and non-relational databases (SQL and NoSQL).
• Experience developing NLP solutions such as: Document Classification Entity Extraction Relationship Extraction Sentiment Analysis
• Understanding of: Vector databases and embeddings Prompt engineering Retrieval-Augmented Generation (RAG) Agentic AI and multi-agent systems
• Strong machine learning and deep learning expertise, including supervised and unsupervised techniques.
• Experience with cloud-based AI development, preferably in Microsoft Azure and Databricks environments.
• Familiarity with MLOps practices, CI/CD pipelines, automated testing, Git version control, and production deployment.
• Experience in fraud prevention, deepfake detection, healthcare analytics, EHR data, or medical terminology is an asset.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design, develop, and deploy AI and Generative AI solutions that address real business challenges.
• Build and operationalize machine learning and large language model (LLM) solutions from concept through production.
• Partner with business stakeholders to identify opportunities, gather requirements, formulate hypotheses, and deliver measurable outcomes.
• Develop proof-of-concepts, pilot programs, and enterprise-scale AI applications.
• Implement prompt engineering strategies, retrieval-augmented generation (RAG) patterns, and modern AI architectures.
• Generate business insights through data exploration, experimentation, and advanced analytics.
• Build scalable data pipelines and AI workflows that support production environments.
• Monitor, evaluate, and continuously improve model performance and solution effectiveness.
• Communicate analytical findings and technical concepts to both technical and non-technical audiences.
• Stay current with emerging trends in AI, GenAI, machine learning, and cloud technologies.

Benefits

• health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
• adoption/surrogacy and wellness benefits
• employee/family assistance plans
• various retirement savings plans (including pension/401(k) savings plans and a 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, and 40 hours of sick time (or more where required by law) each year
• full range of statutory leaves of absence

What This Job Offers

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