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: 512
Employers: 239

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: 54%279 listings
On-site: 45%232 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), RBC (11), BMO (10).

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

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Added 13 days ago
Data Scientist, Decisions - Payments
Lyft
Toronto, ON
As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world-class team of engineers, product managers, analysts, and other data scientists to help build…
Added 13 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Added 13 days ago
X
Data Scientist - Experimental Physics
Xanadu
Toronto, ON
- Full-time
Added 13 days ago
RB
Senior Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 13 days ago
E
Machine Learning Engineer
EvenUp
Toronto, ON
- $130,000 to $205,000 USD / year
- Full-time
Added 13 days ago
R
Senior Data Scientist
RBC
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 13 days ago
X
Staff Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Added 13 days ago
R
Senior Data Scientist
RBC
Toronto, ON
- Full-time
We are seeking a talented Data Scientist to join our team at RBC, where you will leverage data-driven insights to solve comple
Added 13 days ago
KR
Data Architect
KTek Resourcing
Toronto, ON
- $70 to $75 CAD / hour
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…
Added 13 days ago
M
Machine Learning Engineer
Manulife
Toronto, ON
- Full-time
We are seeking an innovative and experienced Machine Learning Engineer to join our AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's…
Added 14 days ago
H
Senior Machine Learning Engineer
Hays
Toronto, ON
- Contract
Added 14 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON
- Full-time
Added 14 days ago
IS
Data Modeler
Iris Software Inc.
Toronto, ON
- Contract
Iris’s leading financial client is looking for Data Modeler to join their team at Toronto, ON(Hybrid) location.
Added 14 days ago
NB
Senior Data Scientist, Credit Risk
National Bank of Canada
Richmond Hill, ON
- Full-time
A career as a Senior Data Scientist, Model Development and Risk Production in the Credit Risk Analytics team at National Bank means acting as a hands-on subject matter expert in credit risk…
Added 14 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 14 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Added 14 days ago
Q
Machine Learning Engineer, AI Processors
Qualcomm
Markham, ON
- Full-time
Added 14 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Added 14 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Added 14 days ago
ZS
Data Architect - Technical Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data Architect - Technical Architect
Added 14 days ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 14 days ago
IG
Data Architect
Insight Global
Toronto, ON
- $90 to $91 CAD / hour
- Contract
Insight Global is seeking a Solution Architect to support a major Wealth Data & Analytics transformation initiative. This individual will play a key role in defining and governing…
Added 14 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 14 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Added 15 days ago
Data Architect & Team Lead
Konrad
Toronto, ON

EvenUp

Machine Learning Engineer

Toronto, ON, Canada

$130,000 to $205,000 USD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $130,000 to $205,000 USD / year
Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

Machine Learning Engineer

We're looking for a Machine Learning Engineer to join our ML team at EvenUp. You'll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI.

Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you'll turn raw legal and medical data into production-ready models that directly improve outcomes for personal-injury clients.

What You'll Do

Explore, implement, and benchmark ML, NLP, and generative AI methods - including LLM fine-tuning, retrieval-augmented generation, and document understanding.
Clean, annotate, and transform structured and unstructured case data, and build reusable datasets and data loaders.
Design experiments, run A/B tests, analyze results, and communicate findings to product and engineering teams.
Help integrate models into our production systems, partnering with ML platform engineers on testing, monitoring, and scaling.
Pair with product managers, legal analysts, and software engineers to translate real problems into ML solutions and measurable improvements.
Stay current with research in LLMs, representation learning, and prompt engineering, and share what you learn with the team.

What You Bring

B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a related field.
Solid grounding in ML fundamentals - supervised and unsupervised learning, evaluation metrics, overfitting and regularization.
Hands-on experience with NLP or generative AI techniques - transformers, embeddings, sequence-to-sequence models, or LLMs.
Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, or spaCy.
Familiarity with SQL and basic data engineering concepts - ETL, versioned datasets, notebooks.
Strong analytical thinking, clear communication, and eagerness to learn and iterate quickly in a fast-moving startup.
Ability to work hybrid (3 days your choice) in our San Francisco or Toronto, Canada office.

Nice to Have

Exposure to cloud platforms (AWS, GCP).
Experience with experiment-tracking tools (Weights & Biases, Gemini Enterprise Agent Platform, MLflow).
Familiarity with containerized deployment (Docker, Kubernetes).
Experience in a high-growth startup environment.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

Choice of medical, dental, and vision insurance plans for you and your family.
Additional insurance coverage options for life, accident, or critical illness.
Flexible paid time off, sick leave, short-term and long-term disability.
10 US observed holidays, and Canadian statutory holidays by province.
A home office stipend.
401(k) for US-based employees and RRSP for Canada-based employees.
Paid parental leave.
A local in-person meet-up program.
Hubs in San Francisco and Toronto.

(Please note the above benefits & perks are for full-time employees)

Notice to Candidates:

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Compensation Range: $130K - $205K

Apply About employer

More about this job

Responsibilities

Develop, benchmark, and help deploy machine learning, NLP, and generative AI models for a legal claims-intelligence platform, including LLM fine-tuning, retrieval-augmented generation, and document understanding. Prepare reusable datasets, design and analyze experiments, support production model integration, and collaborate with product, legal, data science, and engineering teams to improve measurable outcomes.

Requirements

A degree in computer science, machine learning, data science, statistics, computational linguistics, or a related field is required, along with a solid foundation in machine learning and hands-on NLP or generative AI experience. Candidates should be proficient in Python and relevant ML/NLP libraries, familiar with SQL and basic data engineering, and able to work hybrid from the San Francisco or Toronto office.

Skills

Machine Learning
Natural Language Processing
Generative AI
Large Language Models
Python
PyTorch
TensorFlow
Hugging Face
spaCy
SQL
Data Engineering
Experiment Design
A/B Testing
Model Evaluation
Retrieval-Augmented Generation
Document Understanding

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Accident Insurance
Critical Illness Insurance
Flexible Paid Time Off
Sick Leave
Short-Term Disability
Long-Term Disability
Paid Holidays
Home Office Stipend
401(k)
RRSP
Paid Parental Leave

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Natural Language Processing
Generative AI
Large Language Models
LLM Fine-Tuning
Retrieval-Augmented Generation
Document Understanding
Transformers
Embeddings
Sequence-to-Sequence Models
Python
PyTorch
TensorFlow
Hugging Face
spaCy
SQL
ETL
Versioned Datasets
Data Loaders
Supervised Learning
Unsupervised Learning
Evaluation Metrics
Regularization
A/B Testing
AWS
GCP
Weights & Biases
MLflow
Docker

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