Data Scientist
Job in
Toronto, Ontario, M5A, Canada
Listing for:
Company 1 - The Manufacturers Life Insurance Company
Full Time
position
Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
Job Description & How to Apply Below
At Manulife, data scientists collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework!
The Data Scientist is accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The Data Scientist is responsible for crafting, building, and deploying business interpretable and performant analytics solutions and applications. Collaborates with data and ML engineers to build scalable self-service tools for the analytics team.
The Data Scientist leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics practices and methods. The Data Scientist helps others to improve their knowledge and understanding of the use of data and technology.
Position Responsibilities:
Bridging between data assets, technology, and business expertise
Collaborate shoulder-to-shoulder with business experts.Understand the business, the associated processes, systems & data environment.Research, explore, and experiment with data driven business ideas.Research & leverage published material to gain a comprehensive understanding of data science practices and methods.Crafting and building business interpretable and performant analytics solutions
Develop and implement data analytics enabled solutions to improve and re-imagine business process, to generate insights, and support strategy development.Work on problems of diverse scope and complexity requiring the in-depth analysis of data.Quickly develop enough business insight to connect data sources across multiple diverse and complex systems.Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners.Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis.Deploy rich data and analytics content in business applications.Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value.Prepare cases on the benefits of the analytics work.Elevate data and analytics skills in the business
Help business partners better understand the use of data, drawing on a detailed understanding of data analytics and predictive modeling.Identify and guide natural data champions to improve the profitable use of data.Learn salient business concepts from data champions and enable them to creatively use data assets.Required Qualifications:
Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field)Knowledge and expertise with SQL with Oracle, MySQL, and Relational DatabasesSkilled with Python or similar languages2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles. Can relax this requirement for PhD or equivalent experience.Preferred Qualifications:
Experience in a quantitative field (such as Computer Science, Mathematics, Physics, Machine Learning, Bioinformatics AI, Statistics, engineering, or equivalent)Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systemsKnowledge and experience in network and graph based analytics techniques including graph databasesFunctional knowledge of Azure Cloud Platform such as Azure ML and Data FactoryAbility to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectivesOutstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-expertsPassionate about working in a diverse group and contributing to an inclusive cultureWhen you join our team:
We’ll empower you to learn and grow…
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