Senior Data Scientist - GenAI

We are seeking an experienced and innovative Senior Data Scientist to join our team and focus on HR‑related use cases, including talent management, personalization, search capabilities, actionable insights, and reporting. In this role, you will apply your expertise in ML and AI, particularly in Generative AI, to develop and implement advanced analytical solutions! Your skills in deploying these GenAI solutions on cloud platforms will be crucial in turning data into actionable insights and driving strategic decision‑making within our organization!

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 platforms.

Apply 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 capabilities.

Collaborate 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 standards.

Work 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 Autogen.

Proficiency 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 techniques.

Strong 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 operations.

Collaboration 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 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.

#LI-Hybrid

Working Arrangement 混合式

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 hr@manulife.com 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 hr@manulife.com 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.

宏利是平等機會僱主 在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。申請過程中如需協助，請聯絡 hr@manulife.com。

#J-18808-Ljbffr