Data Scientist 2
At a glance
Mid-level Data Science role at Northbridge Financial Corporation. Toronto · full-time · CA$84,000–CA$126,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Trace business questions through data preparation and analysis to build models and bring them into production
- Extract and clean data, then explore it to find patterns that inform model development
- Train and assess statistical or machine-learning models with open-source and cloud-based software
- Write scripts to deliver model results in batch or real time, then troubleshoot and maintain them
What you bring
- An undergraduate degree in statistics, mathematics, computer science or a related field
- Two to four years developing and implementing applied-statistics or machine-learning models
- Two to four years in data wrangling and feature engineering, including SQL queries joining multiple sources
- At least two years programming with SQL and Python or R, plus knowledge of operational workflows
Who this fits
This mid-level role suits someone who can contribute across model development, deployment and ongoing support. The work is hybrid, with up to two work-from-home days per week.
From the employer
What it’s like to be a Northbridge Data Scientist
The Data Science Team is a central partner to the business for Northbridge’s predictive and prescriptive capability using applied statistics, machine learning or artificial intelligence to build business solutions.
The primary role of Data Scientist 2 is to participate in the data science lifecycle to develop and deploy analytical models. Tackle a breadth of challenges from wrangling data, finding the optimal model fit, to delivering results to our business stakeholders.
We want your talent
If you are great at:
Participate in the data science lifecycle from understanding the business problem, to data extraction, to model development, to production deployment and change management
Perform data extraction and wrangling, and conduct exploratory data analysis
Train and evaluate applied statistics and machine learning models, using open source and cloud based proprietary software
Develop deployment scripts for batch and real-time delivery of model output
Maintain deployed models by running and delivering model output and debugging scripts as needed
If you have:
Undergraduate degree in Statistics, Mathematics, Computer Science, or relevant field
2-4 years of professional experience in applied statistics and/or machine learning model development and implementation
2-4 years of professional experience in data wrangling and feature engineering, including SQL writing queries to integrate data from multiple sources
2+ years of programming experience with SQL and Python/R
Proficiency in operational procedures, workflow, and processing functions
Experience in scalable data engineering, software engineering and/or MLOps practices is an asset
We really mean it when we say we put you first. Here are a few ways how:
Hybrid work! We have a flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it.
We offer competitive salaries and support your financial health through our employee share purchase plan, pension plans, RRSP, discounts on staff insurance, and more!
We help you prioritize your well-being from day one through flexible health benefits, early leave days, wellness programs, rewards, and recognition programs.
We are invested in helping you grow in your career through education assistance to complete your CIP, FCIP, CRM or other courses desired, internal mobility, Leadership training and mentoring programs.
NBFC cares about the community and supports the causes you believe in with donation matching and team volunteer days.
We’re committed to pay transparency and fairness. The base salary range for this role is $84,000–$126,000, reflecting expected base pay — not the total compensation package. Actual base salary may vary depending on your experience, skills, and alignment with the position. We’re also open to candidates at different levels, so if this range doesn’t quite match your expectations, don’t let that hold you back — we’d still love to hear from you.
This is a real opportunity — we’re actively hiring! If the role sounds like a good fit, we encourage you to apply. Beyond base pay, we offer a robust Total Rewards program that includes benefits, wellness support, and other meaningful perks.
We also want to be transparent about our hiring process. While one of our systems includes AI capabilities, over 99% of our screening is done by real people. We believe in thoughtful, human‑centered hiring decisions and are committed to giving every application the attention it deserves.
Who we are:
We’re Northbridge Financial. We’re proud to be 100% Canadian and owned by Fairfax Financial. We serve through our Northbridge Insurance, Federated Insurance, and TruShield Insurance brands. We have a reputation for being one of Canada’s leading commercial property and casualty insurance company. Our employees are dedicated to understanding the needs of our customers and we go above and beyond to help Canadian businesses have a safer and brighter future. We’re a company of passionate people who put people first. Do you want to join a team that believes in working hard – and having fun at work – all while making a difference? Look no further than Northbridge.
At Northbridge Financial we embrace and celebrate you and are committed to creating an inclusive workplace for all! No matter who you are or what makes you unique, we welcome you. Please let us know how we can assist or accommodate you during the selection process.
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