Hiring: Senior Data Scientist – GenAI Company: Manulife Location: Boston, MA Job Posted Time: 2026-09-10 17:59:42 Employment Type: Full-Time Target Skills & Keywords: Generative AI, Machine Learning, Prompt Engineering, RAG, LLMs, Python, PyTorch, scikit-learn, Hugging Face, SQL, Graph Databases, Azure, Fraud Detection, Anomaly Detection, Probabilistic Models, Neo4j, Cosmos DB Experience: - 5+ years of hands-on industry experience in developing probabilistic models, analytics, and machine learning algorithms - Real-world experience applying analytics models with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications - Lead end-to-end development of fraud detection and risk analytics models, including probabilistic models, anomaly detection, and ensemble approaches - Experience developing, fine-tuning, and deploying Generative AI models such as GPT models - Building and optimizing modular RAG systems, applying advanced retrieval methods, and evaluating/monitoring RAG performance - Applying LLMs to parse complex documents with diverse layouts (multi-column text, tables, images) into machine-readable formats - Collaborating with data engineers and ML engineers to integrate data science solutions into existing systems - Reviewing the work of other Data Scientists and participating in model and code reviews Required Skills: - Proficiency in Python and machine learning libraries/frameworks (PyTorch, scikit-learn, Hugging Face) - SQL and graph databases (Neo4j/Cypher, Cosmos DB) - Advanced modeling and AI analysis on large, complex datasets - Cloud-based solutions (Azure) for scalability, security, and performance - Strong communication skills to convey sophisticated technical concepts to technical and non-technical partners - Collaboration with multi-functional teams to define business requirements Qualifications: - Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field - Knowledge of professional software engineering practices and standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations (preferred) - Strong collaboration and elaboration skills 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!