Data Scientist

We are seeking a motivated Data Scientist to join the Canadian Advanced Analytics team. As a Data Scientist, you will help develop and implement robust analytical solutions for various business segments of Manulife, applying both traditional and emerging machine learning and AI techniques. Your work in these areas will play a crucial role in driving data‑driven decision‑making and improving our business processes!

Responsibilities

• Develop and implement machine learning models to tackle sophisticated business problems, using a variety of algorithms and techniques.
• Collaborate with multi‑functional teams to identify and define business requirements, ensuring alignment with data science objectives.
• Leads, develops, runs, and delivers projects of diverse scope.
• Consults with internal business leaders, finds opportunities/challenges, and brings analytics driven insights/solutions to tackle business problems.
• Helps determine advanced analytics priorities and sequencing of projects to optimize business goals. Works closely with business leaders in change management as an outcome of model delivery.
• Codifies processes/techniques/tools into standard methodologies for other data scientists. Coordinates the work of more junior data scientists. Participates in code and model review of other data scientists.
• Provides thought leadership including researching new analytics methodologies, tools, and data.
• Influence business partners to contribute to and adopt insights from analytics work.
• Innovates and finds creative ways to source data to support modeling efforts, using structured and unstructured data.

What motivates you?

• You obsess about customers, listen, engage and act for their benefit.
• You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
• You thrive in teams and enjoy getting things done together.
• You take ownership and build solutions, focusing on what matters.
• You do what is right, work with integrity and speak up.
• You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking for

• An advanced degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or other quantitative field.
• Minimum 5 years of experience solving high impact business problems using data science.
• Experience leading initiatives across the entire advanced analytics lifecycle from business problem through to deployment.
• Practical experience with big data processing frameworks, and platforms such as Azure, Databricks, Spark, Hive, PCF.
• Excellent communication skills – able to translate sophisticated data science concepts to technical and non‑technical partners. Proficient storyteller able to galvanize others to act.
• Agile problem solver with a bias for action, able to remove roadblocks fast.
• Track record of implementing models into production with business value.

What can we offer you?

• A competitive salary and benefits packages.
• A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
• A focus on growing your career path with us.
• Flexible work policies and strong work‑life balance.
• Professional development and leadership opportunities.

Our commitment to you

• Values‑first culture: We lead with our Values every day and bring them to life together.
• Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
• Continuous innovation: We invite you to help redefine the future of financial services.
• Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
• Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy‑related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

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