Position ResponsibilitiesBuild and apply machine learning technology for HR-related use casesLeverage hands‑on experience with Generative AI to create innovative analytical solutions that address HR challenges and enhance business processesDesign 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 performanceApply large language models (LLMs) to process complex HR documents, extracting structured information from diverse layoutsStay 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 workflowsCommunicate complex technical concepts and insights effectively to both technical and non‑technical collaborators, ensuring clarity and understandingConduct 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 objectivesRequired QualificationsProven experience as a Senior Data Scientist, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applicationsHands‑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‑learnAdvanced working SQL knowledge,Preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data FactorySolid 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 solutionsExceptional 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 organizationStrong problem‑solving skills and the ability to think critically and creatively to develop innovative solutionsPreferred QualificationsMaster’s degree, or Ph.D. or equivalent experienceWhen you join our teamWe’ll empower you to learn and grow the career you wantWe’ll recognize and support you in a versatile environment where well‑being and inclusion are more than just wordsAs part of our global team, we’ll support you in shaping the future you want to seeAbout Manulife and John HancockManulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.Manulife.Com/en/about/our-story.Html.Manulife is an Equal Opportunity EmployerAt 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 setting 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 [email protected] Salary LocationToronto, OntarioWorking ArrangementHybridSalary Range$129,400.00 CAD - $179,400.00 CADEmployees 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 [email protected] 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 [email protected] 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.#J-18808-Ljbffr

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