> Markdown version of [/jobs/ext/2297358-data-scientist-hybrid](https://www.wearedevelopers.com/jobs/ext/2297358-data-scientist-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Hybrid - **Company:** Manulife - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $90,160.0 - $167,440.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Microsoft Azure, Health Informatics, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Named Entity Recognition, NLTK (NLP Analysis), NoSQL, Sentiment Analysis, Software Deployment, SQL Databases, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Keras, Git, Pandas, Scikit Learn, Information Technology, Non-relational Database, Machine Learning Operations, Virtual Agents, Document Classification, Data Pipelines, Automation Anywhere, Databricks - **Published:** August 29, 2026 - **Apply:** https://manulife.wd3.myworkdayjobs.com/MFCJH_Jobs/job/Boston-Massachusetts/Data-Scientist---Hybrid_JR26081559-1 ## About the Role * 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. ## Description 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. What You'll Do As a member of our growing AI team, you will: * 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., Develop AI solutions that help millions of customers make better financial decisions and improve their overall experience. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)