Role Summary

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Sun Life

Data Scientist

Toronto, Ontario / Full Time

March 21

Role Summary

The Lumino Data & Analytics team plays a critical role in the execution of the Lumino strategy and works very closely with the Lumino Management team.

The Data & Analytics Team Is Responsible For

  • Being the analytics translators to identify high-impact data science use cases
  • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
  • Partnering with other Analytics/IT groups to leverage expertise of Data Scientists/Data Engineers/Developers to explore and solve complex business problems
  • Supporting various teams within Lumino to leverage best practices associated with data management and develop processes that support data driven decision making

The Data Scientist’s primary focus is to identify data science use cases, create the project execution plan and to drive the project through its life cycle. As part of this life cycle, you will create/maintain data models, provide expertise in data interpretation to support operational decision making, and leverage analytical skills to highlight trends and insights from data.

In this role, you will use data to generate business insights and will be involved in gathering requirements, development, data investigation, modeling/analysis, documentation, delivery, and implementation of various projects with the end goal of providing meaningful business insights and to uncover opportunities for improvements.

What Will You Do?

  • Identify potential data science/machine learning opportunities, create and execute end to end plan for implementation and delivery
  • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes
  • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights
  • Develop and present reporting solutions to key stakeholders and partners
  • Learn about business processes in order to analyze, interpret, and advise managers on analytical findings
  • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
  • Understand and incorporate technology best practices with a primary focus on Tableau and Python
  • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

What Do You Need To Succeed?

  • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields
  • 2-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.
  • 3-5 years coding experience preferably in Python
  • 2-5 years experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau
  • Familiar with data science project life cycle
  • Strong problem solving and analytical skills
  • Demonstrated ability to produce meaningful results from data
  • Proven experience consolidating and analyzing data sources
  • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
  • Comfortable learning new applications quickly with minimal direction
  • Proven ability to work collaboratively within a cross functional team environment
  • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
  • Attention to detail and in-depth planning, organizational and time management skills
  • Experience working with relational databases and creating data models with efficient design
  • Experience with AWS SageMaker would be an asset.

What's in it for you?

  • Competitive salary and bonus structure influenced by market range data
  • Entitlement to flexible benefits program, and 4 weeks vacation
  • A friendly, collaborative and inclusive culture
  • Pension, stock and savings programs to help build and enhance your future financial security
  • Being part of our Analytics community, where we share best practices and broaden skill-sets

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to .

At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

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