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Senior Data Scientist

Pay
Multiple pay amounts — pay source
At the heart of Canadian Tire Bank is our philosophy of building “Customers for Life.” We are focused on delivering customer service excellence and value‑added products through a deep understanding of our customer’s needs, timely development of new services, and effective use of the latest technologies. Our approach centers on matching the right customer with the right service at the right time while consistently delivering quality and value at scale. The Bank is committed to fostering a diverse, inclusive, and respectful workplace, where different perspectives are valued and employees are supported to do their best work. With a national footprint and a strong values‑driven culture, we remain focused on sustainable growth, innovation, and long‑term impact for our customers, shareholders, and the communities we serve across Canada. Broadband Salary Range: $64,000 – 106,000 Our typical hiring range is between $90,000 and $95,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-NZ2 This posting represents an existing vacancy within our organization. We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Lead machine learning projects for origination, credit limit and collection strategies

  • Own scorecard design and development from data sourcing through validation

  • Deploy new models and track day-to-day scoring activities

  • Monitor statistical models and recommend actions

  • Create customer segmentation schemes for strategy teams

From the employer’s posting
Lead machine learning projects that drive origination, credit limit and collection strategies
Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation
Deploy new models and track day-to-day scoring activities
Monitor effectiveness of all statistical models and recommend appropriate course of action
Create customer segmentation schemes that provide strategy teams with key customer insights

What you’ll bring

All qualifications

Core experience

  • Solid understanding of the steps required in model development and the principles of various modeling methodologies.
  • Proficient in SQL, Python and SAS programming languages.
  • Ability to accurately and consistently understand and manipulate large volumes of granular and detailed data
  • Proven ability to translate business needs into statistically sound solutions

Preferred experience

  • Experience in WOE binning and logistic regression to build scorecards is a plus
  • Experience in Databricks is a plus
Qualification wording
Solid understanding of the steps required in model development and the principles of various modeling methodologies. Experience in WOE binning and logistic regression to build scorecards is a plus
Proficient in SQL, Python and SAS programming languages. Comfortable with ML processes like Pandas, XGBoost, scikit-learn and LightGBM is a plus
Ability to accurately and consistently understand and manipulate large volumes of granular and detailed data
Proven ability to translate business needs into statistically sound solutions
Familiar with FICO Analytics Workbench, SAS Enterprise Miner, Knowledge Seeker, SPSS Modeler and other software ecosystems. Experience in Databricks is a plus

About Canadian Tire

With a national footprint and a strong values‑driven culture, we remain focused on sustainable growth, innovation, and long‑term impact for our customers, shareholders, and the communities we serve across Canada.

In the employer’s words · Read in context

Apply at Canadian Tire

Posting record

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Status in our records
Live
First seen by us
Nov 6, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 7, 2026
Reposted
once since Jul 22, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 57.

At Canadian Tire, jobs usually come down by about day 14.

From 10,552 similar postings that came down, and 46 of Canadian Tire’s. Coming down is not always a hire.

Canadian Tire is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down at a usual pace
  • 7% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SAS
  • SQL
  • Databricks
  • LightGBM
  • scikit-learn
  • XGBoost
Where the posting names them
- Solid understanding of the steps required in model development and the principles of various modeling methodologies. Experience in WOE binning and logistic regression to build scorecards is a plus - Proficient in SQL, Python and SAS programming languages. Comfortable with ML processes like Pandas, XGBoost, scikit-learn and LightGBM is a plus - Familiar with FICO Analytics Workbench, SAS Enterprise Miner, Knowledge Seeker, SPSS Modeler and other software ecosystems. Experience in Databricks is a plus
- Proficient in SQL, Python and SAS programming languages. Comfortable with ML processes like Pandas, XGBoost, scikit-learn and LightGBM is a plus - Familiar with FICO Analytics Workbench, SAS Enterprise Miner, Knowledge Seeker, SPSS Modeler and other software ecosystems. Experience in Databricks is a plus - Demonstrated superior analytical, mathematical, programming and problem-solving skills

Your next step

Complete your application on canadiantirecorporation.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Has Canadian Tire posted this job before?

Yes. We’ve followed one other Senior Data Scientist job there since July 2026. It came down after 86 days.

  1. OakvilleCame down after 86 days, first seen Jul 22
  2. This jobUp 1 day so far, first seen Nov 6

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

What the opportunity is

 

The Modeling & Segmentation Analytics Team at Canadian Tire Bank is responsible for developing and maintaining a robust suite of predictive models that support decisioning across our credit card customer lifecycle. We build risk scorecards and classification models used for acquisition, account management, and collections strategies, with a strong emphasis on analytical rigor, regulatory soundness, and business impact. As part of our continued growth, we are seeking a Senior Data Scientist who can play a key role in advancing our modeling capabilities, influencing consumer strategies, and delivering high‑quality, data-driven, machine learning models that inform responsible credit decisions.  Reporting directly to the Manager of Data Modeling, you’ll be working with a group of other data scientists in charge of the whole model development and monitoring process.

 

What you’ll do

  • Lead machine learning projects that drive origination, credit limit and collection strategies including managing delivery timelines and coordinating team resources
  • Own the full cycle scorecard design and development from initial planning and data sourcing to data modeling and validation
  • Deploy new models and track day-to-day scoring activities, addressing system or procedural issues as needed
  • Monitor effectiveness of all statistical models and recommend appropriate course of action
  • Perform optimization analysis and build supporting component predictions
  • Create customer segmentation schemes that provide strategy teams with key customer insights
  • Collaborate closely with internal customers, retail-side partners and subject matter experts to understand data, interpret results, translate business needs and synthesize solutions
  • Deliver effective presentations of key design elements and model build results to senior management
  • Work on related tasks and ad hoc activities to support business objectives

 

Who you are


  • A creative and courageous quick learner with the ability to navigate in an environment of change and ambiguity and help us take bold, strategic moves in a rapidly evolving and competitive marketplace
  • Action-oriented, self-starter comfortable taking calculated risks to better serve our customers and to support business objectives
  • Outcome-focused, critical thinker with the ability to analyze and visualize, to ensure continuous improvement across our entire business Collaborative team player with excellent interpersonal skills, who builds relationships easily across various stakeholder groups to move initiatives forward

What you bring


  • University degree in Statistics, Actuarial Science or Mathematics.  Postgraduate degree in a related discipline is a plus
  • Five years or more experience with machine learning building predictive models, developing scorecards, performing statistical analysis, and segmenting customers.  Exposure to credit risk management, credit card/banking or fraud is a plus
  • Solid understanding of the steps required in model development and the principles of various modeling methodologies.  Experience in WOE binning and logistic regression to build scorecards is a plus
  • Proficient in SQL, Python and SAS programming languages.  Comfortable with ML processes like Pandas, XGBoost, scikit-learn and LightGBM is a plus
  • Familiar with FICO Analytics Workbench, SAS Enterprise Miner, Knowledge Seeker, SPSS Modeler and other software ecosystems. Experience in Databricks is a plus
  • Demonstrated superior analytical, mathematical, programming and problem-solving skills
  • Ability to accurately and consistently understand and manipulate large volumes of granular and detailed data
  • Proven ability to translate business needs into statistically sound solutions
  • Capable of clearly communicating analytical results to business stakeholders

About Canadian Tire Bank  

Established in 2003 as part of Canadian Tire Corporation, Limited (CTC), Canadian Tire Bank is a Schedule I Canadian chartered bank and a core component of CTC’s integrated retail and financial services model. We offer credit cards, savings, and investment products that are closely linked to our Triangle™ Rewards ecosystem, enabling Canadians to earn value through everyday purchases across banners under CTC’s umbrella, including Canadian Tire, Mark’s, SportChek, Atmosphere, PartSource, Gas+, Pro Hockey Life, Hockey Experts, Sports Experts and Party City. Serving customers through approximately 1,700 retail and gasoline outlets nationwide, Canadian Tire Bank is an integral part of CTC’s True North strategy, guided by our unifying goal to make life in Canada better.  Since 2005, Canadian Tire Jumpstart Charities has been helping kids overcome financial and accessibility barriers to sport and recreation in an effort to provide inclusive play for all kids of all abilities.

 

At the heart of Canadian Tire Bank is our philosophy of building “Customers for Life.” We are focused on delivering customer service excellence and value‑added products through a deep understanding of our customer’s needs, timely development of new services, and effective use of the latest technologies. Our approach centers on matching the right customer with the right service at the right time while consistently delivering quality and value at scale. The Bank is committed to fostering a diverse, inclusive, and respectful workplace, where different perspectives are valued and employees are supported to do their best work. With a national footprint and a strong values‑driven culture, we remain focused on sustainable growth, innovation, and long‑term impact for our customers, shareholders, and the communities we serve across Canada.


Broadband Salary Range:  $64,000 – 106,000
Our typical hiring range is between $90,000 and $95,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.  #LI-NZ2


This posting represents an existing vacancy within our organization.


We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

At Canadian Tire Services Limited/Canadian Tire Bank, it is our mandate to continue to create innovative and rewarding financial solutions for our customers. Our growing suite of products and services showcase the dynamic contributions from our employees and our success is driven by a strong vision, loyal customers, and our ability to build teams that reflect the diverse customers and communities in which we live and work. Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging 

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. .

Accommodations  

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

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Oakville, ON

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