Data Scientist

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, GenAI, or advanced analytics toolkits and frameworks, including exposure to Retrieval‑Augmented Generation (RAG) • Exposure to cloud platforms (e.g., Azure, AWS, or GCP) for data processing, model development, or solution deployment • Experience with data visualization tools such as Tableau, Qlik, or open‑source libraries (e.g., ggplot, d3) • 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 When You Join Our Team • We’ll empower you to learn and grow the career you want. • We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words. • As part of our global team, we’ll support you in shaping the future you want to see. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html. 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. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com. Working Arrangement Hybrid We're Manulife. And we’re on a mission to make decisions easier and lives better. Better is what drives us. It’s what inspires us to find new ways to support customers and colleagues in living longer and healthier lives. It’s the reason we’re dedicated to investing in digital innovation and accelerating a sustainable and economically inclusive future. Joining us means you’ll be empowered to learn and grow your career. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. And as part of our global team, you’ll help shape the future you want to see – and discover that better can take you anywhere you want to go. We’re proud of our accomplishments and recognitions. Recent awards include: 2024 Gallup Exceptional Workplace Award Winner Manulife Named one of Forbes World’s Best Employers 2023 Best Companies to Work for in Asia 2023 We’ve been recognized as one of Canada’s Top 100 Employers (2024) Manulife included in Bloomberg’s 2023 Gender-Equality Index To receive our latest job opportunities directly to your inbox, create an account or sign in and navigate to the ‘Job Alerts’ section located in the top right corner of the page. From there, you can sign up to receive job alerts. Our ambition is to be the most digital, customer-centric global company in our industry. Learn more at https://www.manulife.com/.