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About the Role
As a Data Scientist, AI & Generative AI at John Hancock, you will 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, leveraging AI and Generative AI to simplify customer experiences, optimize sales and marketing, strengthen fraud detection, and modernize operations.
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.
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.
- 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.
Skills
- Python
- SQL
- Pandas
- Scikit-learn
- Keras
- NLTK
- LangChain
- Semantic Kernel
- NLP
- Document Classification
- Entity Extraction
- Relationship Extraction
- Sentiment Analysis
- Vector databases
- Embeddings
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Agentic AI
- Multi-agent systems
- Machine learning
- Deep learning
- Microsoft Azure
- Databricks
- MLOps
- CI/CD
- Git
- Fraud prevention
- Deepfake detection
- Healthcare analytics
- EHR data
- Medical terminology
Location
- Boston, MA
- Toronto, ON
Work Type
- Hybrid
Experience Level
- 2+ years of industry experience
Education Level
- Master's or PhD degree in Statistics, Applied Mathematics, Data Science, Computer Science, Engineering, Physics, or a related quantitative field.
Salary/Compensations
- $90,160.00 USD - $167,440.00 USD
Benefits
- Incentive programs and incentive compensation tied to business and individual performance.
- 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.
- 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.
About the Company
- John Hancock is a unit of Manulife Financial Corporation, a leading international financial services group providing insurance and wealth management solutions across North America, Asia, and Europe.
- Together, we're on a mission to remove complexity from financial services and make decisions easier for our customers.
- Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better.
Equal Opportunity
- Manulife is an Equal Opportunity Employer.
- We embrace our diversity and strive to attract, develop and retain a workforce that is as diverse as the customers we serve.
- We 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.