Manulife

Financial Services

DataScientist

$1200–2000k ~AI est. Philippines FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Financial Services
Problems you'll solve

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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