Senior Data Scientist: End-to-End Analytics & ML

Manulife; Quezon City; Hybrid; PHP 1,000,000 - 2,000,000; Full time

Job summary

Manulife Philippines is seeking a Senior Data Scientist to join the MBPS Advanced Analytics team. You will develop analytics-enabled solutions, deliver end-to-end projects, and translate large datasets into actionable business insights for stakeholder decisions.

Responsibilities include collaborating with business partners, mentoring junior data scientists, and ensuring governance and scalable analytics processes across the customer lifecycle in a hybrid work setting.

Qualifications

• Minimum 5 years of applicable experience with advanced knowledge of programming languages and concepts (Python and SQL)
• Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc.
• 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

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

Skills

Python

SQL

PowerBI

Plotly

R Shiny

Machine Learning

Statistics

Cloud platforms

MongoDB

NoSQL

Education

Advanced degree in Statistics/Math/CS/Engineering

Bachelor's with equivalent experience

Tools

Tableau

Qlik

ggplot

D3.js

Job description

Manulife Philippines is seeking a Senior Data Scientist to join the MBPS Advanced Analytics team. You will develop analytics-enabled solutions, deliver end-to-end projects, and translate large datasets into actionable business insights for stakeholder decisions.

Responsibilities include collaborating with business partners, mentoring junior data scientists, and ensuring governance and scalable analytics processes across the customer lifecycle in a hybrid work setting.