Hiring: Data Scientist - Hybrid Company: Manulife Location: Boston, MA Job Posted Time: 2026-09-02 17:59:42 Employment Type: Full-time Target Skills & Keywords: Data Science, AI, Generative AI, Machine Learning, LLM, Python, SQL, NLP, RAG, Prompt Engineering, LangChain, Semantic Kernel, Vector Databases, Deep Learning, Cloud AI, Microsoft Azure Experience: - 2+ years of industry experience developing and deploying AI and Generative AI solutions - Experience designing and executing data science experiments and machine learning projects - Building and operationalizing machine learning and large language model (LLM) solutions from concept through production - Developing proof-of-concepts, pilot programs, and enterprise-scale AI applications - Building scalable data pipelines and AI workflows for production environments - Monitoring, evaluating, and continuously improving model performance Required Skills: - Strong programming skills in Python and SQL - Ability to translate business problems into scalable AI solutions - Experience with prompt engineering strategies, retrieval-augmented generation (RAG) patterns, and modern AI architectures - Strong machine learning and deep learning expertise, including supervised and unsupervised techniques - Experience with cloud-based AI development, preferably in Microsoft Qualifications: - Master's or PhD degree in Statistics, Applied Mathematics, Data Science, Computer Science, Engineering, Physics, or a related quantitative field - Experience with Python libraries such as Pandas, Scikit-learn, Keras, NLTK, and similar tools (preferred) - Hands-on experience with LLM development frameworks such as LangChain and Semantic Kernel (preferred) - Knowledge of relational and non-relational databases (SQL and NoSQL) (preferred) - Experience developing NLP solutions such as document classification, entity extraction, relationship extraction, and sentiment analysis (preferred) - Understanding of vector databases and embeddings, prompt engineering, Retrieval-Augmented Generation (RAG), and agentic AI and multi-agent systems (preferred) Compensation: Not specified in the job posting. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!