We 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 for various parts of Manulife and JH by applying traditional and emerging ML and AI techniques including but not limited to generative AI techniques, such as applying prompt engineering, working with RAG applications, fine‑tuning LLM models, and deploying applications on cloud platforms like Azure. Your expertise in these areas will play a crucial role in driving data‑driven decision‑making and enhancing our business processes! Position Responsibilities: Develop and lead machine learning and AI driven projects that span the breadth of Group Functions (Corporate Functions) with high business impact. Demonstrate proficiency in developing, fine‑tuning, and deploying Generative AI models such as GPT models, as well as other innovative architectures. This includes understanding the nuances of model selection, optimization, and evaluation to ensure high performance and accuracy, while managing cloud‑based solutions to ensure scalability, security, and performance. Build and optimize modular RAG (Retrieval‑Augmented Generation) systems, apply advanced retrieval methods, and evaluate and monitor the performance of RAG systems. Apply large language models (LLMs) to parse complex documents and handle diverse layouts, such as multi‑column text, tables, and images, and converting them into machine‑readable formats to extract structured information. Stay up‑to‑date with the latest advancements in Generative AI, prompt engineering, Agentic Framework, and cloud technologies, to apply them and 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. Review the work of other Data Scientists and take part in model and code reviews. Collaborate with multi‑functional teams to identify and define business requirements, ensuring alignment with data science objectives. Required Qualifications: Bachelor', 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, analytics, and machine learning algorithms, including real world experience of applying analytics models, with a strong focus on machine learning, generative AI, timely 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). Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations. Strong 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. When you join our team: We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to 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. To request a reasonable accommodation in the application process, contact Referenced Salary Location Toronto, Ontario Working Arrangement Hybrid 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. The actual salary will vary depending on local market conditions, geography and relevant job‑related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact for the salary range for your location. Manulife offers eligible employees 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, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions. #J-18808-Ljbffr