Manulife
Financial Services
DataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Scientist at Manulife. Skills: Data science, Machine learning, Data analysis, Analytics. Develop analytics-enabled solutions. Implement analytics-enabled solutions”
What You'll Achieve.
Address defined business needs; Produce reliable insights; Produce actionable insights
Industry & Context.
Data analysis; Generate insights
What They're Looking For.
Must Have
5 years of applicable experience, Advanced knowledge of programming languages, Advanced knowledge of concepts, Python, SQL, SQL queries, Knowledge in data visualization tools, PowerBI, plotly, R Shiny, Knowledge of machine learning, Knowledge of AI algorithms, Advanced degree in Statistics, Advanced degree in Mathematics, Advanced degree in Computer Science, Advanced degree in Engineering, Bachelor's degree with equivalent technical experience
Nice to Have
Experience applying statistical modeling, Experience applying machine learning techniques, regression, clustering, decision trees, survival analysis, Working knowledge of AI, Working knowledge of GenAI, Working knowledge of advanced analytics toolkits, Working knowledge of frameworks, Exposure to cloud platforms, Azure, AWS, GCP, Experience with data visualization tools, Tableau, Qlik, open-source libraries, ggplot, d3, Familiarity with relational database models, Familiarity with large-scale data environments, Proficient in querying structured data, Proficient in analyzing structured data, Proficient in querying unstructured data, Proficient in analyzing unstructured data, SQL, NoSQL, JSON, MongoDB, Experience designing scalable analytics processes, Experience implementing scalable analytics processes, Experience designing end-to-end analytics processes, Experience implementing end-to-end analytics processes, Experience with appropriate governance, Experience with tracking mechanisms
What You'll Do.
Develop analytics-enabled solutions
Implement analytics-enabled solutions
Improve business processes
Support business strategy
Own analytics projects
Deliver analytics projects
Analyze large datasets
Analyze complex datasets
Generate actionable insights
Translate findings into recommendations
Collaborate with business stakeholders
Collaborate with subject matter experts
Understand data sources
Understand business needs
Provide guidance to junior data scientists
Contribute to knowledge sharing
How You'll Work.
Team & Collaboration
Internal teams; Business stakeholders; Subject matter experts; Junior data scientists; Analytics community
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 5 years of applicable experience with advanced knowledge of programming languages and concepts (Python and SQL, SQL queries) * ### Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc. (or other equivalent data visualization tools) * ### Strong knowledge of machine learning and AI algorithms * ### Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or a related field; or a Bachelor’s degree with equivalent technical experience **Preferred Qualifications** * Experience applying statistical modeling and machine learning techniques
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