Data scientist jobs in Canada

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Added 21 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 21 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Use data, analytics, and business insight to identify opportunities, improve credit strategies and customer outcomes, and answer not just "what happened?", but "so what?" and "what should…
Added 21 days ago
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Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
…quickly with working prototypes built on real operational energy data, and take what works into production. We're hiring a Lead Data Scientist to be the founding owner of data science and…
Added 21 days ago
Q
Machine Learning Engineer, AI Processors
Qualcomm
Markham, ON
- Full-time
Added 21 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI…
Added 21 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI…
Added 21 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Use data, analytics, and business insight to identify opportunities, improve credit strategies and customer outcomes, and answer not just "what happened?", but "so what?" and "what should…
Added 21 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Must Have Skills
Added 21 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Must Have Skills
Added 21 days ago
C
Lead Data Scientist
Capgemini
Kamloops, BC
- Full-time
Must Have Skills
Added 21 days ago
MC
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
Canada
- Contract
Senior Enterprise Information / Data Architect
Added 21 days ago
ZS
Data Architect - Technical Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data Architect - Technical Architect
Added 21 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 21 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 21 days ago
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Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Develop powerful business insights from a broad range of data, using advanced machine learning techniques.
Added 21 days ago
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Data Scientist II
TD
Toronto, ON
- Full-time
As a Data Scientist, you will help design, develop, test, and operationalize generative AI, Copilot, and agentic solutions for Finance. The role combines AI solution development, prompt and…
Added 21 days ago
AS
Lead Data Scientist
AgileGrid Solutions
Canada
- Full-time
The Data Scientist - Level 5 serves as a strategic leader in advancing McKesson's data science capabilities to solve complex business and IT challenges. This position is responsible for…
Added 21 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
As a Data Architect & Team Lead, you will combine hands-on technical architecture expertise with people and delivery leadership. You will be tasked with designing, building, and maintaining…
Added 22 days ago
NB
Senior Data Scientist Model Developement and Validation
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 22 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 22 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
We are looking for an experienced Data Scientist to join our team and help build, deploy, and optimize machine learning solutions that influence decisions across millions of customer…
Added 22 days ago
UO
Data Scientist - Applied AI, VP Development and Alumni
University of Calgary
Calgary, AB
- Full-time
This position is currently hybrid with three days per week in the office
Added 22 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 22 days ago
SM
Junior Data & Machine Learning Specialist (Contract)
Stichting Mission on Wheels
Calgary, AB
- $55,000 to $60,000 CAD / year
You don't need years of experience. You need to care about getting the data right and be honest about what a result does and doesn't prove.
Added 22 days ago
P
Architect de données (MDM)/ Data Architect
Procom
Montreal, QC
- Contract
Relevant de la fonction de gestion des données d’entreprise (Enterprise Data Management), cette personne sera responsable de traduire les processus d’affaires, la terminologie, les…

PakEnergy

Lead Data Scientist, Innovation Lab

Calgary, AB, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

PakEnergy is accelerating its innovation. Help us lead it.

More than 2,300 oil and gas companies run their land, production, accounting and transportation on PakEnergy. We've started putting AI to work across that platform. Now we're accelerating our pace of innovation, and we're building the PakEnergy Innovation Lab to do it.

The Lab's mandate is simple: find the highest-value problems our customers face, prove solutions quickly with working prototypes built on real operational energy data, and take what works into production. We're hiring a Lead Data Scientist to be the founding owner of data science and machine learning on the Lab's cross-functional team, reporting directly to our Chief Product Officer. This is a hands-on lead role: you'll build the models and write the code yourself while setting direction for the discipline. You'll have real autonomy. You own the data science approach on Lab projects, help shape the opportunity backlog with the Chief Product Officer and the industry experts, and make the call, backed by evidence, when an idea should stop. We value candor over polish: a fast, well-reasoned "this won't work" is a good outcome. Our data spans several product platforms, and part of the job is spotting the data gaps that limit what we can ship and helping close them.

What We've Already Shipped With Pak AI

AI-powered lease provision analysis (PakEnergy Land). Embedded AI that flags key lease provisions in seconds instead of hours, so land teams can manage large portfolios and acquisitions faster.
PakCAPTURE™ (PakEnergy Transportation). Drivers photograph tickets, receipts and paperwork in the mobile app. Pak AI extracts the key data, auto-populates pickup and drop-off forms, and files the documents with the right load.
OnPing Plunger™ (OnPing). Optimization for plunger-lift wells. Pak AI learns each well's best historical runs, compares actual against expected performance, and tunes setpoints within the operator's automation and safety limits, or flags the well for human review. It has delivered up to 30% more production on conservatively set wells and 3.5–7% on wells that were already well optimized.

These are the first steps. The Innovation Lab is where the next ones get found, proven and shipped.

The team

The Innovation Lab brings together everyone it takes to go from a customer problem to a working product:
Industry experts for every PakEnergy product: Land, Production, Accounting and Transportation. They know the workflows, the data and the customers firsthand.
A Lead Applied AI Engineer, your peer, who designs and builds the Lab's generative AI, LLM and agentic systems and gets them into production.
Solution engineers who take prototypes to customers and into production.
You, the Lab's founding owner of data science and machine learning.
For a strong data scientist, this means you won't get requirements secondhand, you won't build in a vacuum, and there's a clear path from your model to a customer. Domain experts frame problems with you, your peer lead in applied AI builds the generative AI side, and solution engineers put the results in customers' hands.

Why this role

Founding owner of your discipline. You'll set the technical direction, standards and practices for data science in the Lab from day one, and help shape what the Lab works on.
Real operational energy data. You'll work with SCADA and IIoT time series from OnPing, lease and contract documents, revenue and joint-interest accounting, and the tickets and paperwork behind every load hauled, across a customer base of more than 2,300 companies.
Deep expertise around you. You'll work next to industry experts for every product, a peer lead in applied AI and solution engineers, so you can focus on the data science while the team brings domain depth and a route to customers.
Ownership from prototype to production. You own the data science from problem framing through modeling and evaluation, and see it through customer pilots into production.
A direct line to leadership. You report to the Chief Product Officer, and your work shapes the Pak AI roadmap.
A path to leading a team. There are no direct reports today. As Innovation Lab initiatives mature and demonstrate value, this role is set up to help build and lead the Lab's data science team.

What You'll Do

Frame problems with the industry experts. Partner with the Lab's Land, Production, Accounting and Transportation experts to turn customer pain points into well-defined, measurable data science problems, and size the opportunity.
Own the modeling. Build forecasting, anomaly detection, optimization and predictive models on production, SCADA/IIoT, accounting, transportation and geospatial data, from exploratory analysis through working prototype.
Experiment and evaluate rigorously. Design experiments, offline evaluations and pilot success metrics. Own the evidence on whether something works, and recommend when an idea should stop.
Partner with the Lead Applied AI Engineer on GenAI and agentic work. They design and build the Lab's LLM, document AI and agentic systems. You bring the data, lead evaluation design, and contribute ML and statistical models those systems can use.
Take it to customers and production with solution engineers. Partner on customer pilots, and for the ML models you own, define the data, monitoring and MLOps requirements for a clean handoff to product and engineering teams.
Stay accountable after deployment. Partner with engineering teams on production monitoring, model performance, drift detection and continuous improvement for the models you own after handoff.
Set the technical direction for data science. Define the Lab's data science approach, tooling and standards for data quality, experimentation, reproducibility and responsible ML, and raise data fluency across a cross-functional team.
Build the foundation for a future team. Document how data science works in the Lab, mentor and coach teammates, and shape the roles and hiring plan for when the Lab expands.

What You Bring

8+ years in applied ML or data science, including multiple models you built and shipped to production, used by real customers.
A track record of setting technical direction for data science work: choosing the approaches, tooling and standards that others adopted.
Experience mentoring, coaching or leading other data scientists or engineers, formally or as a technical lead.
Depth in at least one of time-series forecasting, anomaly detection or optimization on noisy, real-world data, with strong grounding in statistics, experimental design and model evaluation.
Expert Python and SQL. You're still hands-on and build the models yourself.
Working knowledge of LLM and GenAI systems, especially how to evaluate them (test-set design, metrics, human labeling, error analysis), enough to be a strong technical partner to the Lab's Lead Applied AI Engineer.
Experience working within lightweight, fast-moving software development practices that prioritize rapid experimentation, testing, customer validation and responsible production delivery.
A track record of turning ambiguous problems into shipped products with domain experts, product and engineering, influencing executives and stakeholders along the way, and the candor to say when something won't work.

Nice to have

Oil and gas, energy or industrial domain experience is a plus, not a requirement. The Lab's industry experts bring deep knowledge of every PakEnergy product, and you'll learn the domain working beside them.
Experience with SCADA/IIoT or geospatial data, or with labeling and evaluating document-extraction systems.
Databricks, Spark, Azure and/or AWS, and MLflow or similar MLOps tooling.
Experience hiring data scientists or building a data science function from an early stage.
Experience on cross-functional or innovation teams that take prototypes to customers.

Education: A degree in a quantitative field or equivalent practical experience. An advanced degree is welcome but not required.

Location: In office, Frisco, Texas or Calgary, Alberta.

FLSA Status: Exempt (US/Frisco location only).

Canadian Employment Classification: Applicable employment classification will be determined in accordance with Alberta employment standards.

Benefits: A casual business work environment, generous PTO, employer-sponsored health benefits, and a retirement savings plan (401(k) in the US).

Equal opportunity

PakEnergy is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to an inclusive hiring process.

If you're excited about this role but don't check every box, we'd still like to hear from you.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead data science and machine learning for the Innovation Lab, framing customer problems with industry experts and building, evaluating, and piloting models using operational energy data. Set the Lab’s data science standards and technical direction, partner with applied AI and engineering teams to move successful models into production, and monitor their performance after deployment.

Requirements

Requires 8+ years of applied machine learning or data science experience, including multiple production models, technical leadership, and mentoring or coaching experience. Candidates need expert Python and SQL skills, depth in time-series forecasting, anomaly detection, or optimization, strong statistical and evaluation expertise, and working knowledge of evaluating generative AI systems.

Skills

Applied Machine Learning
Data Science
Python
SQL
Time-Series Forecasting
Anomaly Detection
Optimization
Statistical Analysis
Experimental Design
Model Evaluation
Generative AI
Large Language Models
MLOps
Data Quality
Model Monitoring
Technical Leadership

Benefits

Paid Time Off
Health Benefits
401(k)
Retirement Savings Plan

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Machine Learning
Data Science
Time-Series Forecasting
Anomaly Detection
Optimization
Statistical Modeling
Experimental Design
Model Evaluation
Generative AI
Large Language Models
Agentic Systems
Document AI
SCADA
IIoT
Geospatial Data
MLOps
MLflow
Databricks
Spark
Azure
AWS
Production Monitoring
Drift Detection
Responsible Machine Learning
Oil And Gas
Energy Data
Customer Pilots
Data Quality

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Data scientist jobs in Canada

Machine Learning Scientist I

Data Scientist - Credit Risk (ATH 5531)