Manulife
Financial Services
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist at Manulife. Skills: Data science, Analytics, Machine learning. Develop analytics-enabled solutions. Implement analytics-enabled solutions”
What You'll Achieve.
Produce reliable insights; Produce actionable insights
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
2 years of relevant experience, 2 years of hands-on experience using Python, R, SAS, or SPSS, and SQL, Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or a related field or a Bachelor’s degree with equivalent technical experience
Nice to Have
Experience applying statistical modeling and machine learning techniques, Working knowledge of AI, GenAI, or advanced analytics toolkits and frameworks, Exposure to cloud platforms for data processing, model development, or solution deployment, Experience with data visualization tools, Familiarity with relational database models and large-scale data environments, Experience designing or implementing scalable, end-to-end analytics processes with appropriate governance and tracking mechanisms
What You'll Do.
Develop analytics-enabled solutions
Implement analytics-enabled solutions
Support business strategy
Own analytics projects
Deliver analytics projects
Analyze large datasets
Analyze complex datasets
Generate actionable insights
Translate findings into business recommendations
Collaborate with business stakeholders
Collaborate with subject matter experts
Understand data sources
Understand data processes
Understand business needs
Provide guidance to junior data scientists
Mentor junior data scientists
Contribute to knowledge sharing
How You'll Work.
Team & Collaboration
Internal teams; Business stakeholders; Subject matter experts
Communication Scope
Business recommendations
Full Job Description
This role provides the opportunity to support analytics‑enabled initiatives by developing and delivering data analysis and models that address defined business needs. As part of the MBPS Advanced Analytics team, the role contributes to Manulife’s mission of helping customers make decisions easier and lives better by producing reliable, actionable insights from data. The successful candidate will work closely with internal teams and business stakeholders to execute analytics tasks across various use cases within the customer lifecycle. Through this role, they will gain hands‑on experience working with real business data, established analytics processes, and end‑to‑end solution delivery. **Position Responsibilities** • Develop and implement analytics‑enabled solutions to improve business processes, generate insights, and support business strategy • Own and deliver end‑to‑end analytics projects of moderate complexity, while contributing to larger, more complex initiatives • Analyze large and complex datasets to generate actionable insights and translate findings into clear business recommendations • Collaborate closely with business stakeholders and subject matter experts to understand data sources, processes, and business needs • Provide guidance and mentorship to junior data scientists and contribute to knowledge sharing within the analytics community **Required Qualifications** • Minimum of 2 years of relevant experience in analytics, data science, or a related field • At least 2 years of hands‑on experience using programming languages such as Python, R, SAS, or SPSS, and SQL for data analysis • Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; or a Bachelor’s degree with equivalent technical experience • No licenses required **Preferred Qualifications** • Experience applying statistical modeling and machine learning techniques (e.g., regression, clustering, decision trees, survival analysis) • Working knowledge of AI, Ge
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