Data Scientist

Business Intelligence / Renseignements organisationnels Toronto, Ontario

Position at Northbridge Financial Corporation

“The Power of Together”

Join Northbridge, a growing dynamic company that has a long and rich Canadian history in providing innovative insurance solutions to customers nationwide.

Northbridge Financial Corporation is a leading commercial property and casualty insurance company that’s been helping protect Canadian businesses for more than 90 years. We’re 100% Canadian!

We offer a wide range of creative solutions to our customers through our Northbridge Insurance, TruShield Insurance and Federated Insurance brands where we strive to create a fair and friendly culture, upheld by the foundation of our five corporate values: respect, passion, connectedness, creativity, and excellence.

By continually striving to challenge the status quo, and by focusing on helping the customers we have the privilege of insuring achieve the possibilities of their business, we’ve been able to build our reputation as one of Canada’s largest commercial insurance providers.

To help us continue to build on this success, we’re committed to attracting, developing and retaining the best people.

Be part of a team that’s passionate about making a difference every day, fuelled by our entrepreneurial spirit and where everyone owns a part of our success. Our company has had an amazing journey so far, and our future is full of new possibilities!

Located in the heart of Toronto’s Financial District, our head office is easily accessible by TTC and GO Transit, and within walking distance to the Eaton Centre, Scotiabank Arena, Rogers Centre, and CN Tower. As a national property and casualty commercial insurance provider, we also have offices across Canada.

Position Summary 

As a Data Scientist, you are accountable to develop and deploy analytical models using the latest in open source and cloud-based analytics solutions. Tackle a breadth of challenges from wrangling data, finding the optimal model fit, delivering the results to our business stakeholders. By being part of an entrepreneurial team that balances independence and teamwork to achieve our goals; experience the support of the FairVentures lab and other data science teams at our Fairfax affiliate companies as we seek to deliver the best products and services to our customers.

What you will be doing:

  • Develop, train and test analytical solutions to enhance our customer experience, risk mitigation and claims processes using open source and cloud-based tools.
  • Facilitate the gathering and documentation of user stories with our stakeholders.
  • Assist with the developing of an effective work plan to meet project and stakeholder needs.
  • Develop data scripts, pipelines, and proprietary software “recipes” to convert raw data into modelling and deployment formats.
  • Support the ongoing evolution of design and development best practices (including code and peer reviews) without selected technology and tools.
  • Lead in the communication of the model characteristics and diagnostics to business users.
  • Develop deployment scripts that automate delivery of model scores and results in batch and real time.
  • Maintain the deployed models by running and delivering reports, and debug supporting programs and tools.
  • Engage in team activities and presentations that continually improve the knowledge and capabilities of the team.
  • Other duties as assigned.

What we are looking for:

  • Post-secondary school education in computer science
  • 2 - 5 years of experience in a programming role
  • 2 - 5 years of business analysis experience.
  • Master’s degree in computer science, statistics, data science or business is an asset.
  • Qualification in a predictive analytics discipline is an asset, such as the iCAS CSPA
  • Academic or work experience with Python, R, git, and cloud platforms
  • Familiarity with API’s, GitLab or GitHub
  • Familiarity with any of the following tools in a cloud platform is an asset: StreamSets, HUE (Hadoop User Interface), RStudio Server, GitLab, RConnect, Shiny, Jupyter Notebooks, Data Robot, and Arcadia Data
  • Knowledge of statistical techniques and machine learning
  • Experience with SAS or SQL is an asset

What sets you apart:

  • Strong programming skills
  • Critical thinking, analytical and problem-solving skills
  • Quick learner, self-motivated, team player with high energy and ability to work independently
  • Operate in a collaborative manner
  • Ability to foster and build good working relationships
  • Demonstrated commitment to ongoing professional and technical development
  • Strong communication (verbal and written) skills to explain processes and terms
  • Strong ability to manage multiple projects and deliver results
  • Demonstrated ability to develop and prepare business analysis documentation and planning
  • Be fun, fair and friendly

What We Have to Offer:

  • Northbridge Cares program – volunteer day and donation matching
  • Generous paid time off, including personal days. Flexible work hours as well as early departure opportunities
  • Flexible Group Benefits Plan – medical, dental, insurances
  • Defined Contribution Pension Plan + Optional Group RRSP
  • Northbridge Employee Share Purchase Plan
  • Education Assistance Program
  • Employee Assistance plan
  • Staff Insurance - discount on home, automobile and pet insurance
  • Plus, the opportunity to contribute to the success of Northbridge through sharing your knowledge and experience while learning from others!

Working Conditions:

  • Indoors in normal office environment with little exposure to excessive noise, dust, fumes, vibrations, and temperature.
  • Frequent computer use at workstation.
  • Infrequent travel to visit clients, brokers, industry events and attend off-site training workshops.
  • Customer visits may require suitable clothing for heavy weather and dirty or oily environments.

Application Process:

Northbridge welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Interested, qualified candidates are encouraged to apply below.

All offers of employment are conditional upon satisfactory background and reference checks, including a criminal record check, credit check, and employment and educational verifications.