Job Posting 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 MGS 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
• Experience in designing and developing AI, NLP, and LLM powered solutions

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
• Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)
• Experience designing or implementing scalable, end-to-end analytics processes with appropriate governance and tracking mechanisms

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 our story.

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