Data Scientist - Fulltime (Toronto)

This role provides the chance 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. Own and deliver end‑to‑end analytics projects of moderate complexity, while contributing to larger, more complex initiatives 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 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 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) 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., Familiarity with relational database models and large‑scale data environments Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB) We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words. Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. 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. 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. Apply on Kit Job: kitjob.ca/job/2psc6t