Senior Data Scientist - GenAI (Old Toronto)

Position Responsibilities

Build and apply machine learning technology for HR-related use cases Leverage hands‑on experience with Generative AI to create innovative analytical solutions that address HR challenges and enhance business processes Design and deploy Generative AI models, ensuring optimal performance, accuracy, and scalability on cloud platformsApply Retrieval-Augmented Generation (RAG) techniques for building and optimizing modular systems; use advanced retrieval methods and monitor system performance Apply large language models (LLMs) to process complex HR documents, extracting structured information from diverse layouts Stay informed about the latest developments in Generative AI, machine learning, and cloud technologies to continuously improve data science capabilitiesCollaborate with Data Engineers and ML engineers to integrate data science solutions seamlessly into existing HR systems and workflows Communicate complex technical concepts and insights effectively to both technical and non‑technical collaborators, ensuring clarity and understanding Conduct peer reviews of other Data Scientists’ work and engage in model and code review processes to maintain high‑quality standardsWork with multi‑functional teams to identify and define business requirements, ensuring alignment with data science strategies and objectives Required Qualifications

Proven experience as a Senior Data Scientist, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications Hands‑on experience with Gen AI‑related tech stack, including Azure Cognitive Search, Langchain, Semantic Kernel, and agent frameworks like LangGraph, CrewAI or AutogenProficiency in programming languages, particularly Python, and experience with machine learning libraries/frameworks such as PyTorch and scikit‑learn Advanced working SQL knowledge, Preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory Solid understanding of machine learning algorithms, statistical modelling, and data analysis techniquesStrong partner management skills, ability to translate sophisticated technical topics into business language, presentation skills, and the ability to balance urgency with high‑quality, pragmatic solutions Exceptional 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 operationsCollaboration and communication skills, demonstrating a commitment to organizational success and sharing resources and knowledge across the organization Strong problem‑solving skills and the ability to think critically and creatively to develop innovative solutions Preferred Qualifications

Master’s degree, or Ph.D. or equivalent experience 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 versatile 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 nced Salary Location

Toronto, Ontario Working Arrangement

Hybrid Salary Range

$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.We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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