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Manulife Financial

Global financial services: insurance and investments

Senior Data Scientist

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • Requires 6–8 years of experience in AI, machine learning, and advanced analytics, preferably within consulting or financial services.
  • Requires an advanced degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline.
  • Requires experience working at the intersection of business and technology and translating ambiguous business challenges into scalable AI solutions and measurable outcomes.
  • Requires hands-on expertise in advanced AI and generative AI techniques, including agentic workflows and orchestration, AI service integration, and AI platform architectures.
  • Requires advanced proficiency in a common coding language such as Python or Java.
  • Requires experience with cloud and big data platforms such as Azure, Databricks, Spark, or Hadoop.
  • Requires a track record leading end-to-end AI solution delivery, from problem framing and solution design through deployment, adoption, and value realization.
  • Requires the ability to lead cross-functional AI initiatives involving business, technology, data, and AI teams in complex organizational environments.
  • Requires strong problem-solving and analytical skills, including the ability to structure ambiguity, challenge conventional thinking, and develop practical solutions to business and technical challenges.
  • Requires communication, facilitation, and stakeholder-management skills, including building relationships across levels, influencing decisions, and communicating complex technical concepts to non-technical audiences.

Responsibilities

  • Partner with business leaders across functions to define domain-level AI strategy, identify opportunities for measurable impact, and define AI product roadmaps aligned with business priorities.
  • Translate complex business challenges into practical AI solutions by defining user journeys, AI approaches, target-state experiences, and success metrics, while aligning data, architecture, and platform requirements with Data and Technology teams.
  • Act as AI Product Owner and lead end-to-end delivery of AI initiatives, partnering with Business Product Owners and Technology teams to define delivery approaches and coordinate cross-functional execution.
  • Connect stakeholders, structure ambiguous problems, challenge conventional ways of working, and drive improvements to AI delivery, technical capabilities, and operational effectiveness.
  • Rapidly prototype, test, and iterate AI solutions with business users, validating value hypotheses and refining approaches based on user feedback and operational outcomes.
  • Manage the AI delivery squad for domain-wide AI products, including Data Scientists, AI Engineers, and AI Architects, and drive direction, accountability, and effective collaboration across the delivery team.
  • Monitor solution adoption, performance, and value impact, and maintain a feedback loop with users to ensure business outcomes and inform product roadmap enhancements.
  • Lead the design, development, and optimization of AI and generative AI solutions for domain AI products, including supervised and unsupervised models, statistical analysis, large language models for complex-structure documents, prompt engineering, retrieval-augmented generation, evaluation frameworks, model orchestration, guardrails, and human-in-the-loop design.
  • Advance the organization's AI and generative AI capabilities globally by evaluating emerging techniques, conducting experimentation, and identifying opportunities to apply advanced techniques to business problems.
  • Partner with AI Engineers, AI Architects, Data Engineers, and Technology teams to productionize AI solutions, ensuring scalability, monitoring, and lifecycle management.
  • Establish and contribute to common modelling standards, governance, and reusable AI assets in collaboration with Regional and Global AI teams.
  • Provide technical leadership and mentorship within the AI team, guiding solution design, AI methodologies, and best practices.

About the Company

Manulife Financial

Global financial services: insurance and investments

Manulife Financial is a global financial services provider offering a wide range of insurance and investment solutions. It serves individuals, businesses, and institutions with products such as life and health insurance, wealth management, and retirement plans. Customers fund these products through premiums, fees for asset management, and investment income earned on invested assets. Manulife uses analytics and technology to tailor services and improve efficiency, aiming to help clients protect their finances, grow their wealth, and plan for retirement. The company differentiates itself through its large international presence in North America, Asia, and Europe, its breadth of products, and its emphasis on data-driven insights to personalize offerings. Its goal is to help customers achieve their financial goals and aspirations by providing comprehensive, paid-for financial solutions and ongoing support across multiple regions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1887

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