Position OverviewWe are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement robust analytical solutions using traditional and emerging ML and AI techniques including generative AI, prompt engineering, RAG applications, fine‑tuning LLM models, and deploying applications on cloud platforms such as Azure.ResponsibilitiesDevelop and lead machine learning and AI driven projects that span the breadth of Group Functions with high business impact.Apply generative AI techniques to generate synthetic data, create realistic simulations, and enhance data analysis capabilities.Apply prompt engineering techniques, build with RAG (Retrieval‑Augmented Generation) applications, and fine‑tune language models to improve performance in specific tasks.Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring flawless integration and scalability.Stay up to date with the latest advancements in machine learning, generative AI, prompt engineering, RAG applications, and cloud technologies, and apply them to enhance our data science capabilities.Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.Communicate sophisticated technical concepts and findings to both technical and non‑technical partners, ensuring clear understanding and agreement.Peer review other Data Scientists’ work and participate in model and code reviews.Clean, preprocess,



and analyze large datasets to extract meaningful insights and patterns.Collaborate with multi‑functional teams to identify and define business requirements, ensuring alignment with data science objectives.Required QualificationsBachelor’s, Master’s degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.5+ years of experience in developing probabilistic models, data mining, and machine learning algorithms, including real‑world experience of applying analytics models with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.G., PyTorch, scikit‑learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos DB/Gremlin).Preferred QualificationsKnowledge 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.Solid collaboration and elaboration skills; demonstrates a strong commitment to organizational success; shares resources and demonstrates knowledge across the organization.Strong problem‑solving skills and the ability to think critically and creatively to develop innovative solutions.Excellent communication and collaboration skills,



with the ability to work optimally in multi‑functional teams.Benefits & CompensationLocation: Toronto, Ontario (Hybrid working arrangement). Salary range is expected to be between $129,400.00 CAD – $179,400.00 CAD. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. Eligible employees have a wide array of customizable benefits, including 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 and a global share ownership plan with employer matching contributions) and financial education and counseling resources are also offered. Paid time off includes holidays, vacation, personal and sick days, and statutory leaves of absence.Equal Opportunity EmployerManulife is an Equal Opportunity Employer. We embrace diversity and strive to attract, develop and retain a workforce that reflects the customers we serve. 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, color, 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 protected class under applicable law. We provide reasonable accommodation to applicants who request it during the application process.#J-18808-Ljbffr

📌 Senior Data Scientist - Genai - C$129,400 - C$179,400 A Year (Winnipeg)
🏢 Manulife
📍 Winnipeg