Data Scientist - Toronto, Canada - Manulife

Manulife

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

_Are you looking for a supportive, collaborative workplace with great teams and inspiring leaders? You've come to the right place. We're looking for ambitious people who share our values and want to make every day better for people around the world. If this sounds like you, and the career below sounds exciting, we'd like to hear from you. _

Working Arrangement
Hybrid

This role will support the General Account business and can be hybrid out of Toronto or the Boston areas.

General Accountability:

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 tinker with data driven business ideas.
Research & leverage published material to gain a holistic understanding of data science practices and methods.

Designing 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 indepth 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 datadriven output into business language, and making appropriate recommendations to business stakeholders.
Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis.
Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value.
Prepare business 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 thorough understanding of and experience with data analytics and predictive modeling.
Identify and guide natural data champions in the business to enhance the profitable use of data.
Learn salient business concepts from data champions and enable them to creatively use data assets.

Qualifications:

Advanced degree in Mathematics, Physics, or Engineering, or a bachelor's degree with topnotch experience.
Experience with large data sets, data systems, databases, data integration, data transformation and data modeling for analytics.
Business acumen, ability to influence stakeholders at all levels, with an aptitude for broad strategic and critical thinking.
Advanced experience with databases and Spark.
Advanced knowledge of SQL, C#, Python, Scala, etc.
Advanced knowledge of cloud technologies, particularly Azure, and data engineering practices and methods.
Experience with visualization tools a plus.

Financial services experience desired

About John Hancock and Manulife
**Manulife is an Equal Opportunity Employer