Data scientist jobs in Toronto, ON and nearby

Data scientist jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 518
Employers: 241

Advertised starting pay

Average starting payCAD / year: $132,249Across 37 listings
Average starting payCAD / hour: $71.71Across 24 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 55%283 listings
On-site: 45%234 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), BMO (11), RBC (11).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Toronto, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 19 days ago
CS
Data Modeler – Cloud/Azure
Confiar Services
Toronto, ON
- Contract
We are looking for an experienced Data Modeler to support cloud and data modernization initiatives. The ideal candidate will have strong hands-on experience in data modeling, SQL, Azure…
Added 19 days ago
PG
Big data Engineer
Pacer Group
Mississauga, ON
- Full-time
8+ years of exp. in developing and maintaining scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently.
Added 19 days ago
R
Data Scientist, Global AML Transaction Monitoring
RBC
Toronto, ON
- Full-time
As Data Scientist, Transaction Monitoring, you will develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry…
Added 19 days ago
R
Associate Director - Lead Data Modeler/Analyst
RBC
Toronto, ON
- Full-time
The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture,…
Added 19 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON
- Full-time
Added 19 days ago
CS
Data Modeler
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Data Modeler with strong SQL, data analysis, data modeling, and banking domain knowledge. The ideal candidate should have hands-on experience in KYC, sanctions…
Added 19 days ago
R
Data Scientist III
Raise
Toronto, ON
- Full-time
We at Raise are hiring a Data Scientist III for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re…
Added 19 days ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
Added 19 days ago
R
Data Scientist I
Raise
Toronto, ON
- Full-time
We at Raise are hiring a Data Scientist I for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re…
Added 19 days ago
RA
Senior Data Scientist (Machine Learning & Generative AI)
Recrute Action
Toronto, ON
- Contract
Bring your passion for data, machine learning, and GenAI to the insurance sector for our client. Help transform complex business problems into practical, innovative solutions while…
Added 20 days ago
E
Sr. Data Scientist
Eneon-ES
Toronto, ON
- Full-time
Added 20 days ago
P
Machine Learning Engineer
Point11
Toronto, ON
- Full-time
Make Point11's digital twins more faithful to the customers they stand in for. You own the models and data be
Added 20 days ago
RA
Data Scientist I – GenAI & Machine Learning
Recrute Action
Toronto, ON
- Contract
Bring your passion for data, machine learning, and GenAI to the insurance sector for our client. Support the development of practical, innovative solutions while contributing to advanced…
Added 20 days ago
T
Big Data Engineer
Talenzaa
Mississauga, ON
- Full-time
Big Data Frameworks: Deep technical expertise in PySpark (Spark Core, Spark SQL, Spark Streaming), HDFS, Hive, and distributed system architectures
Added 20 days ago
Machine Learning Engineer, Marketing
Bell
Toronto, ON
Added 20 days ago
E
Senior Data Scientist
EvenUp
Toronto, ON
- $160,000 to $230,000 USD / year
- Full-time
Added 21 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Added 21 days ago
RB
Lead Data Scientist - AI
Royal Bank of Canada
Toronto, ON
- Full-time
Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire…
Added 21 days ago
I
AI Data Architect
Insight
Toronto, ON
- Full-time
Added 21 days ago
MR
AML Data Scientist
Motion Recruitment
Toronto, ON
- $84 to $92 USD / hour
- Contract
Our client, a large financial services organization, is hiring a Senior Data Scientist (AML) for a 6-month contract in Toronto, ON (hybrid). You’ll join a data science team focused on…
Added 21 days ago
R
Lead Data Scientist - AI
RBC
Toronto, ON
- Full-time
Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire…
Added 21 days ago
R
DSX Data Scientist
Roche
Mississauga, ON
- Full-time
Added 21 days ago
T
Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 21 days ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
Added 21 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON

Raise

Data Scientist III

Toronto, ON, Canada

Pay Rate: $70.61/hr - $83.35/hr · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Pay Rate: $70.61/hr - $83.35/hr
Job type: Full-time
Apply by: Nov 13, 2026
Experience: 5+ years’ experience in developing and implementing data science techniques
Posting language: English
Posted: Oct 14, 2026

Original job description

Location: Toronto, ON - Hybrid (2/3 days on-site with Thursday being the team collaboration day)
Pay Rate: $70.61/hr - $83.35/hr
Contract Length: 12 Months

We at Raise are hiring a Data Scientist III for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work

Responsibilities

Data Science and Machine Learning

Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
Work in cross-functional teams to develop ML/data science products, including GenAI applications
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
Implement AI bots/agents with advanced reasoning capabilities and tool use patterns
Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

Break down broader data science development milestones into actionable goals, activities, and work plans
Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
Champion continuous improvement and foster innovation within the analytics communi

Required Qualifications

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
5+ years’ experience in developing and implementing data science techniques
Proficient in Python for data science and GenAI application development
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Proficiency in machine learning including supervised and unsupervised models
Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
Strong understanding of APIs, microservices architecture, and cloud-native development
Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
Experience with chatbot development concepts and conversational AI design
Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
Effective and concise oral and written storytelling and insights communication skills
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
Proven ability to mentor and guide junior data scientists and data engineers
Strong problem-solving abilities and analytical skills with keen attention to detail

Nice To Have

Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

Looking for meaningful work? We can help!

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com

#FIN24

Apply About employer

More about this job

Responsibilities

Translate business goals into data science and machine learning solutions, including developing, evaluating, and deploying models and generative AI applications. Design AI agents, chatbots, and retrieval systems, while creating technical plans, collaborating with stakeholders, and mentoring junior team members.

Requirements

Requires a bachelor’s degree in a relevant field or equivalent experience, at least five years of data science experience, and proficiency in Python, SQL, PySpark, machine learning, and generative AI development. Candidates should also have experience with RAG, LLM APIs, AI agents, data transformation, cloud-native architecture, stakeholder communication, and mentoring; AWS experience is an asset.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
AI Agent Development
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
API and Microservices Architecture
AWS

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Generative AI
Python
SQL
PySpark
Supervised Learning
Unsupervised Learning
Feature Engineering
Model Training
Model Evaluation
Large Language Models
Prompt Engineering
Fine-Tuning
Retrieval-Augmented Generation
AI Agents
Chatbots
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
APIs
Microservices
Cloud-Native Development
AWS SageMaker
AWS Lambda
AWS Bedrock
AWS Glue
Data Warehousing

Report this job