Jobs in Canada

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Added 1 month ago
SI
Director of Analytics Engineering
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…priorities, communicate tradeoffs clearly to senior leaders, and contribute thoughtfully to decisions about data modeling, architecture, governance, quality, tooling, and developer…
Added 1 month ago
H
Principal Azure Databricks Architect
Hays
Toronto, ON
- Contract
Develop scalable data pipelines using Azure Data Factory, Databricks, Python, PySpark, and SQL.
Added 1 month ago
CS
Software Engineer, AI & Platforms
Cameron Stephens
Toronto, ON
- Full-time
…investor capital with the highest levels of professionalism and integrity. We are dedicated to capital preservation while simultaneously forging long-term relationships with our real estate…
Added 1 month ago
BO
Financial Sector Specialist Analyst
Bank of Canada
Ottawa, ON
- Full-time
advanced quantitative and programming proficiency in one or more statistical or analytical languages (e.g., Python, VBA, and Matlab), and/or ability to leverage tools for data extraction…
Added 1 month ago
A
Engineering Team Lead
Analyticsmart
Toronto, ON
- $160,000 to $180,000 CAD / year
Lead and manage a team of React.js (front-end), Node.js, Python (back-end), and full-stack developers, ensuring alignment with project goals and technical standards.
Added 1 month ago
Manager, Unsecured Credit Risk
Scotiabank
Toronto, ON
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Added 1 month ago
T
Sr Consultant, Analytics Consulting
TransUnion
Burlington, ON
- Full-time
Advanced analytical and programming capabilities using R, SAS, SQL, Python, and big data technologies such as Hive, Spark, Hadoop, or cloud-based platforms.
Added 1 month ago
T
SQL Developer / Data Engineer
TD
Toronto, ON
- Full-time
As part of the Reporting Platform team, you will be a key developer supporting a business-critical reporting ecosystem used across TBSM. The platform includes a large-scale SQL data…
Added 1 month ago
D
Data Scientist, Validation of Financial and AI Models
Desjardins
Montreal, QC · Complexe Desjardins Montréal
- Full-time
Programming knowledge using Python, SQL, SAS, R, C++, MATLAB or equivalent technologies
Added 1 month ago
A
Engineering Team Lead
Analyticsmart
Toronto, ON
- Full-time
· Lead and manage a team of React.js (front-end), Node.js, Python (back-end), and full-stack developers, ensuring alignment with project goals and technical standards.
Added 1 month ago
FM
Full Stack Developer - FNV Diagnostics Cloud
Ford Motor Company
Waterloo, ON
- Full-time
Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
Added 1 month ago
CT
Senior Data Engineer
Confluence Technologies
Canada
- Full-time
You’ll collaborate with teams across the business, contribute to architectural decisions, and support the growth of other engineers through mentorship and knowledge sharing. This is a…
Added 1 month ago
QA
Data Scientist II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
Programming experience (focus on machine learning): SQL and Python’s Data Science stack are a must; good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus; R,…
Added 1 month ago
A
Senior Software Engineer
AspiringIT
Kitchener, ON
- Full-time
Strong experience with SQL and database technologies such as PostgreSQL and BigQuery.
Added 1 month ago
AL
Senior Actuarial Analyst
ARAG Legal Solutions Inc. (Canada)
Toronto, ON
- Full-time
Maintain, enhance and document reserving and FCT models, tools and analytical workflows using Excel, R, Python, SQL, or actuarial technologies as appropriate.
Added 1 month ago
Data Scientist
Lantern
Edmonton, AB
Explore and prepare structured and unstructured data; perform feature engineering, statistical analysis, and model selection using Python, SQL, Spark, and Databricks notebooks.
Added 1 month ago
I
QA Automation Engineer - MTL/TOR
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Development or scripting experience with Python and experience with browser-based automation tools such as Selenium.
Added 1 month ago
MR
Application Support Analyst
MHI RJ Aviation Group
Mississauga, ON
- Full-time
Solid hands-on experience on Python, SQL, XML and HTML.
Added 1 month ago
J
Staff Data Scientist, Applied ML
Jobber
Remote, Canada
- Full-time
- Remote
Are you a Machine Learning practitioner who is technically deep and commercially sharp?
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
Advanced proficiency in Python (including libraries like Pandas or PySpark) and expert-level SQL development (stored procedures, analytical functions, performance tuning).
Added 1 month ago
Application Administrator
Eastlink
Halifax, NS
Work Location: 6080 Young Street, Halifax, NS (On-site, 5 days per week) · Must have Strong analytic and deductive reasoning skills
Added 1 month ago
R
Senior Data Engineer
RBC
Vancouver, BC
- Full-time
Advanced proficiency in Python (including libraries like Pandas or PySpark) and expert-level SQL development (stored procedures, analytical functions, performance tuning).
Added 1 month ago
PV
Senior Developer
Pet Valu
Markham, ON
- Full-time
We are seeking a seasoned and forward-thinking Senior Applications Developer with deep expertise in cloud-native application development, particularly within the Microsoft Azure ecosystem.…
Added 1 month ago
NS
Data Analyst
Nova Scotia Power
Halifax, NS
- Full-time
Write and optimize complex SQL queries across multiple data sources to support analysis and reporting requirements.
Added 1 month ago
FS
Senior Analyst, Macro Surveillance and Analytics
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
- Full-time
Experience with machine learning, analytics, and visualization technologies and tools to manipulate large data sets to analyze, test, validate, visualize, and report data (e.g. Python, SQL…

QuantumBlack, AI by McKinsey

Data Scientist II - QuantumBlack, AI by McKinsey

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Mar 15, 2027
Experience: 2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
Posting language: English
Posted: Sep 12, 2026

Original job description

Who You'll Work With

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues - at all levels - will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Impact

You will collaborate with clients and interdisciplinary teams to understand client needs, develop impactful advanced analytics and AI solutions, optimize code, and solve complex business challenges across industries.

You will grow your expertise by contributing to cutting-edge projects, R&D, and global conferences while working alongside top-tier talent in a dynamic, innovative environment.

Your work will drive meaningful change. By uncovering patterns in data and delivering innovative solutions, you’ll help clients stay competitive, transform operations, and achieve lasting improvements. Here’s how you might contribute in a given year:

Build a digital twin of a defense supply chain to enhance military hardware availability.
Leverage agentic AI to improve customer service outcomes for a global travel company.
Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

You’ll contribute to projects across industries and data science expertise areas, eventually choosing your own path to build your expertise and skills. You should expect your responsibilities to include at least some work in critical industries (Aerospace, Defense, Utilities, Oil and Gas), but you will have the ability to serve other industries as well.

Day to day, you’ll tackle complex challenges in partnership with senior data scientists, engineers, designers, and domain experts. You will:

Translate business questions into analytical approaches and select the right techniques for each problem
Conduct exploratory data analysis
Design, implement, and evaluate models - from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you’ll build production-grade RAG pipelines and assess LLM output quality / hallucinations
Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
Build models which are accurate, explainable, and free from bias
Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks

Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.

You will be based in one of our North America locations and collaborate closely with data scientists, data engineers, machine-learning engineers, designers, and product managers around the world.

In accordance with Ontario law:

This job posting is for an existing vacancy.

Artificial intelligence systems (AI) may be used to assist recruiters in the screening and/or assessment of candidates for this role. AI is neither the sole determinative factor at any stage of the application process nor the decision-maker. All AI-generated assessments are reviewed by a McKinsey recruiter before any decision is made regarding a candidate’s candidacy.

Your Qualifications and Skills

Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
Programming experience (focus on machine learning): SQL and Python’s Data Science stack are a must; good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus; R, SPSS, SAS (nice to have); Software Engineering is a plus
Knowledge in applying machine learning solutions to real problems with complex and/or big amounts of data
Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
Experience deploying technology applied to business problems is a plus
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
Willingness to travel
Strong language fluency skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels

Apply on LinkedIn About employer

More about this job

Responsibilities

Partner with clients and interdisciplinary teams to translate business needs into analytical approaches, explore data, and build, evaluate, and deploy machine learning and AI solutions. Optimize models and production systems, monitor performance and drift, communicate actionable findings, and contribute to research, internal tools, and client projects across industries.

Requirements

A bachelor's, master's, or PhD-level education in a relevant technical or quantitative discipline and at least two years of professional experience applying machine learning and data mining to real-world data problems are required. Candidates need Python data science and SQL skills, experience prototyping statistical and modeling algorithms, strong English communication and time-management skills, and willingness to travel; big data frameworks and software engineering experience are advantageous.

Skills

Machine Learning
Data Mining
Python
SQL
Exploratory Data Analysis
Statistical Modeling
Deep Learning
Large Language Models
Retrieval-Augmented Generation
Model Deployment
A/B Testing
Model Monitoring
Bias Mitigation
PySpark
Software Engineering
Communication

Benefits

Competitive Salary
Learning And Apprenticeship Programs
Mentorship And Coaching

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Mining
Artificial Intelligence
Advanced Analytics
Python
SQL
PySpark
Hive
Hadoop
R
SPSS
SAS
Deep Learning
Large Language Models
Retrieval-Augmented Generation
A/B Testing
Airflow
Databricks
Kedro
Dask
RAPIDS
Docker
Kubernetes
AWS
Google Cloud Platform
Microsoft Azure
Model Deployment
Model Monitoring
Quantization
Statistical Modeling

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Work requirements

Jobs in Canada