Data scientist jobs in Mississauga, ON and nearby

Within 25 km

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Added 1 month ago
TC
Data Modeler
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Good years of data modelling experience with knowledge in different data modelling-snowflakestarhybrid and different table types dimension ,fact etc2.
Added 2 months ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Toronto, ON
- $91,375 to $129,000 CAD / year
- Full-time
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date
Added 2 months ago
PX
Data Architect
Project X Ltd.
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
R
Associate - Quantitative Analyst
RBC
Toronto, ON
- Full-time
Added 2 months ago
RB
Associate - Quantitative Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Added 2 months ago
T
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Toronto, ON
- Full-time
…products that represent the future at TD, can all be driven with data, with a strong focus on…
Added 2 months ago
A
Data Scientist ⭐
Achievers
Toronto, ON
- Full-time
We're looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively…
Added 2 months ago
Applied Data Scientist / Engineer (Toronto-Hybrid)
Shift Technology
Toronto, ON
…critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our…
Added 3 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
…you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable…
Added 2 months ago
PX
Data Architect
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
Applied Machine Learning Scientist II
OpenTable
Toronto, ON
This hybrid role requires working in the office two days per week
Added 2 months ago
TH
Data Scientist (Askuity division)
The Home Depot Canada
Toronto, ON
- Other
As a Data Scientist on the Askuity team, you will design, build, and deploy advanced analytics and machine learning solutions that drive measurable impact for The Home Depot and its…
Added 2 months ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Toronto, ON
- Full-time
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build…
Added 2 months ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Machine Learning Engineer to support the AI CoE s Machine Learning and Data Science initiatives.
Added 2 months ago
Data Architect Fabric Platform Lead
Mother Parkers Tea & Coffee
Mississauga, ON
Reporting to the Senior Manager - BI Analytics & Applied AI, the Data Architect & Fabric Platform Lead is responsible for defining and governing the enterprise data architecture and…
Added 2 months ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
We are seeking a highly analytical and client-focused Senior Consultant to join our team as a Data Scientist / Power Systems Analyst. This role is ideal for a professional who brings a…
Added 2 months ago
Associate Data Scientist
Capgemini
Toronto, ON
1 -2 years industry experience, with work in a quant or data scientist field preferred
Added 2 months ago
I
AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
- $68,348.8 to $105,456 CAD / year
- Full-time
As an Intern Data Scientist, you’ll have the unique opportunity to learn and use industry leading data science technologies on a cloud platform (e.g. IBM Cloud, Azure) by working on…
Added 2 months ago
SD
Data Scientist
Symbiotic Digital
Toronto, ON
- Contract
We are seeking a Senior Data Scientist to analyze complex
Added 2 months ago
TA
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
- Full-time
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have…
Added 2 months ago
Data Scientist - Algorithms, Mapping
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable…
Added 2 months ago
JG
Data Scientist
J&M Group
Toronto, ON
- Full-time
Experience with Azure data tools - azure, databricks, MLflow, python
Added 2 months ago
C
Data Architect
Capco
Toronto, ON
- Full-time
Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to…
Added 2 months ago
CM
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
- Temporary
Design, optimize, and maintain ML data pipelines for efficient processing and training

Capgemini

Associate Data Scientist

Toronto, ON, Canada

The base compensation range for this role in the posted location is $60,000 to $80,000

Apply on careers.capgemini.com About employer

Applications open in a new tab.

Job details

Pay: The base compensation range for this role in the posted location is $60,000 to $80,000
Apply by: Dec 1, 2026
Posting language: English
Posted: Sep 2, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

"The AI & Analytics practice group at Capgemini is expanding its footprint... rapidly. As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.

The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems.

If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career.

Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data

Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives • Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations • Analyze and model both structured and unstructured data to generate value

Use industry expertise and data science experience to uncover new opportunities with clients' data

1 -2 years industry experience, with work in a quant or data scientist field preferred

Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field using R and Python

Strong understanding and application of statistical methods and skills: distributions, variance and correlation analysis, A/B testing, and regression •Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras

•Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka and familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud

REQUIRED SKILLS: Data & AI,Formal Sciences,LLM,NLP tools,artificial intelligence,data science,generative AI,machine learning,mathematics,natural language processing and statistics.

Job Description

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Job Description - Grade Specific

The primary responsibilities involves assisting with data cleaning, analysis, model development, visualization, and collaborating with the team to support data driven decision making.

The base compensation range for this role in the posted location is $60,000 to $80,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply on careers.capgemini.com About employer

More about this job

Responsibilities

The associate data scientist will assist in data cleaning, analysis, model development, and visualization to support data-driven decision-making. They will collaborate with global teams to design and build scalable AI and machine learning solutions for various industries.

Requirements

Candidates must have 1-2 years of industry experience and a Master's degree or PhD in a quantitative field. Proficiency in R, Python, statistical methods, and big data ecosystems is required.

Skills

Data science
Machine learning
Python
R
Statistics
Deep learning
Natural language processing
Big data
Spark
Hadoop
Cloud computing
Data modeling
Data mining
Visualization
Artificial intelligence
Generative AI

Benefits

Paid time off
Company paid holidays
Personal days
Sick leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Data science
Machine learning
Artificial intelligence
Generative AI
Python
R
Statistics
Big data
Spark
Hadoop
MapReduce
Kafka
AWS
Azure
Google Cloud
Deep learning
NLP
Computer vision
Pytorch
Tensorflow
Keras
Data mining
Data modeling
Regression
A/B testing
Analytics
Consulting
Digital transformation
Cloud-based environments
Business acumen

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Data scientist jobs in Mississauga, ON and nearby

Data Modeler

AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation

Data Architect

Associate - Quantitative Analyst

Associate - Quantitative Analyst

Senior Applied Machine Learning Scientist, Predictive AI(B3617)

Data Scientist ⭐

Applied Data Scientist / Engineer (Toronto-Hybrid)

Lead Machine Learning Engineer - AI Innovation Teams

Data Architect

Applied Machine Learning Scientist II

Data Scientist (Askuity division)

Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)

Senior Machine Learning Engineer

Data Architect Fabric Platform Lead

Sr Data Scientist / Power Systems Analyst