Toronto, On Artificial intelligence data scientist Jobs – 252 Openings This Week

Data Scientist
Momentum Financial Services Group —Toronto, ON
- $95,000–$105,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
- Dental care
- Tuition reimbursement
Quick apply
Data Scientist
Sanofi EU —Toronto, ON
- $94,700.00–$136,766.66 a year
- Azure
- Computer Science
- English
Data Scientist
Penguin Random House Canada Limited —Toronto, ON
- $69,056–$90,000 a year
- Computer science
- Doctoral degree
- Computer Science
6d
Data Scientist
Sanofi —Toronto, ON
- $94,700.00–$136,766.66 a year
- Azure
- Computer Science
- English
Data Scientist 2
Northbridge Financial Corporation —Toronto, ON
- $84,000–$126,000 a year
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's
Principal Data Scientist (m/f/d)
AutoTrader.ca —Toronto, ON
- $180,000–$220,000 a year
- Computer Science
- SQL
- AWS
- Employee assistance program
Senior Data Scientist (m/f/d)
autoTRADER.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- AWS
- Employee assistance program
Principal Data Scientist (m/f/d)
autoTRADER.ca —Toronto, ON
- $180,000–$220,000 a year
- Computer Science
- SQL
- AWS
- Employee assistance program
Senior Data Scientist - Toronto (m/f/d)
AutoTrader.ca —Toronto, ON
- $180,000–$210,000 a year
- Computer Science
- Engineering
- AWS
- Employee assistance program
Senior Specialist, Data Modeler (Microsoft
Vale —Toronto, ON
- $119,000 a year
- Azure
- Computer Science
- Engineering
- Dental care
13d
Digital Real-World Data and Healthcare Intelligence Business Analyst
Sanofi EU —Toronto, ON
- $94,700.00–$136,766.66 a year
- Microsoft Excel
- Computer Science
- Data analysis skills
Product Owner - Clinical AI Workflows - Vaccines
Sanofi EU —Toronto, ON
- $105,200.00–$151,933.33 a year
- Doctoral degree
- Computer Science
- Master's degree
Data and AI Engineer
Sanofi EU —Toronto, ON
- $94,700.00–$136,766.66 a year
- Computer Science
- DevOps
- Engineering
12d
Software Engineer
Sanofi EU —Toronto, ON
- $105,200.00–$151,933.33 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
8d
Senior AI Engineer – Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Research
1d
Software Engineer
Sanofi EU —Toronto, ON
- $105,200.00–$151,933.33 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
8d
Engineering Lead - AI Workflows
Sanofi EU —Toronto, ON
- $121,000–$201,700 a year
- Azure
- Computer Science
- DevOps
9d
Manager, Underwriting & Valuations Strategy Analyst
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Management
- SQL
- Analysis skills
Senior Manager, Customer Resiliency Strategy and Analytics
Capital One - CA —Toronto, ON
- Full-time
- Hybrid work
- Analysis skills
- Bachelor's
- Recruiting
Software Engineer
Sanofi EU —Toronto, ON
- $105,200.00–$151,933.33 a year
- Hybrid work
- Azure
- Computer Science
- DevOps
8d

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artificial intelligence data scientist jobs near toronto, on

Data Scientist

Momentum Financial Services Group -
Toronto, ON

Quick apply

Job details

$95,000–$105,000 a year

Qualifications

Economics
Doctoral degree
Computer Science
Financial auditing
SAS
Engineering
R
Finance
Master's degree
SQL
Analysis skills
C
Bachelor's
Machine learning
Natural language processing
Financial services
Communication skills
Python
Analytics

Full job description

Who We Are

At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we're the team behind Money Mart—Canada's largest non-bank branch network—and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect over a million customers a year to the money they need, when they need it.

At MFSG, we come together across teams and departments to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you're solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We've Got You Covered

Compensation Philosophy: Our strategy is simple—we aim to match the market. We regularly review industry standards to ensure our total rewards package is competitive and fair. This commitment helps us attract and retain talented individuals who share our purpose.

Discretionary Annual Bonus: Enjoy the opportunity for a discretionary bonus based on individual performance and company success.

Comprehensive Benefits: Our benefits include health and dental plans with 100% of the premiums covered. We also offer an Employee Assistance Program to support your mental well-being and provide resources for personal challenges.

Retirement Plans: Plan for your future with our robust retirement savings options, ensuring you're set for the long haul.

Hybrid Work Environment: Experience the best of both worlds with our hybrid work model, allowing you to balance remote work with in-office. When you're at our corporate head office, enjoy a relaxed and collaborative environment featuring breakout rooms for brainstorming and unwinding, plus a variety of snacks to keep you energized throughout the day.

Perks and Rewards: Enjoy reimbursement for tuition assistance and professional development, discounts through Perkopolis and participate in our rewards and recognition programs to celebrate your contributions.

The Job: Data Scientist

We're seeking a Data Scientist to develop advanced analytical and machine learning solutions that support credit risk, fraud detection, marketing optimization, and customer segmentation. This role will leverage large-scale data to generate insights, improve decision-making, and drive measurable business impact across the organization.

What You'll Do

Advanced Analytics & Modeling:

Design, develop, validate, and deploy predictive and prescriptive models across financial products
Apply machine learning, statistical, and optimization techniques to solve business challenges such as credit risk, fraud detection, pricing, and customer acquisition
Ensure models are scalable, compliant, and deliver measurable impact

Data Exploration & Feature Engineering:

Analyze large and complex datasets to identify patterns and extract meaningful features
Improve model performance through data-driven insights

Collaboration & Communication:

Partner with data engineers, product teams, risk teams, and business stakeholders
Translate business needs into data science solutions and communicate insights effectively

Model Governance & Compliance:

Ensure models align with regulatory requirements and internal governance standards
Support audit and validation processes

Continuous Improvement & Innovation:

Monitor model performance and implement enhancements or retraining
Explore new tools, techniques, and approaches to improve outcomes

Cross-Functional Initiatives:

Lead and support projects such as portfolio optimization and customer behavior analysis
Collaborate across business lines including marketing, operations, and card services

What You'll Bring to the Table

2+ years of experience in financial services, credit risk, fraud analytics, or marketing analytics
2+ years of experience applying data science to solve business problems
Strong experience with SQL, Python, R, or similar analytical tools
Ability to perform descriptive, diagnostic, predictive, and prescriptive analytics
Strong problem-solving skills with the ability to translate data into actionable insights

Education + Experience

Bachelor's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, Economics, Finance, or Engineering
Master's or PhD in a related field is an asset

Skills & Competencies

Proficiency in programming languages such as Python (preferred), R, or SAS
Strong SQL skills for data extraction and analysis
Experience with machine learning libraries and statistical modeling
Familiarity with NLP and modern AI techniques (e.g., LLMs) is an asset
Strong analytical thinking and ability to work with large datasets

Closing

Ready to turn data into impactful insights and drive smarter decisions? Join us and help shape the future of data science at MFSG.

Committed to Equal Opportunity:

MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSG will work with you to determine how to meet your needs.

Please note: The salary range, inclusive of bonus, for this position is between C$ 95,000 to C$ 105,000.

#SJ

About MFSG – Our Commitment to Responsible Innovation

At MFSG, we are committed to building innovative solutions grounded in ethical, transparent, and responsible use of data and technology. Aligned with the principles outlined in Canada's Artificial Intelligence and Data Act (AIDA), we take a proactive approach to ensuring that any AI or data-driven systems we use are safe, fair, and accountable.

This posting is for a current position within our organization, offering the opportunity to contribute to meaningful, responsible innovation that supports our employees, clients, and communities.

We prioritize strong data governance, clear communication around how systems work, and safeguards that reduce risks and protect individuals. Our focus is on developing tools and processes that promote equity, reliability, and trust, supported by ongoing monitoring and continuous improvement.

Joining MFSG means contributing to a future-focused organization that values both innovation and integrity, where your work helps shape solutions that responsibly support our employees, clients, and communities.

Quick apply

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artificial intelligence data scientist jobs in toronto, on

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Who We Are

We've Got You Covered

The Job: Data Scientist

What You'll Do

What You'll Bring to the Table

Education + Experience

Skills & Competencies

Closing

Committed to Equal Opportunity:

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