About the role

Data Scientist at Manulife delivering business insights through data analytics solutions and collaborating with data and ML engineers. Emphasizing corporate objectives like fraud detection and portfolio optimization.

Responsibilities

Deliver business value with data by focusing on key corporate objectives
Craft, build, and deploy business interpretable and performant analytics solutions
Collaborate with data and ML engineers to build scalable self-service tools for the analytics team
Research, explore, and experiment with data driven business ideas
Develop and implement data analytics enabled solutions to improve business processes
Generate relevant, actionable insights based on iterative data analysis
Work closely with business teams and data science engineers
Prepare cases on the benefits of the analytics work
Help business partners better understand the use of data

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 Databases
Skilled with Python or similar languages
2+ 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.
Practical experience in machine learning, NLP, statistics, experimental design, deep learning, recommendation systems
Knowledge and experience in network and graph based analytics techniques
Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory
Ability to distill informal customer requirements into problem definitions
Outstanding verbal and written communication skills

Health, dental, mental health, vision insurance
Short- and long-term disability insurance
Life and AD&D insurance coverage
Adoption/surrogacy and wellness benefits
Employee/family assistance plans
Retirement savings plans (including pension)
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Generous paid time off program including holidays, vacation, personal, and sick days
Full range of statutory leaves of absence