Role Overview
Capgemini is hiring a Entry Level Campus Hire - Gen AI Data Analyst. This is a internship role in CA. Part of Capgemini's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
This is a entry level full time positions working as a Data Analyst in the Data Analytics practice that starts August, 2026 in our office in Toronto/Mississauga, Calgary and Vancouver. You will have graduated from a Bachelor in Computer Science, Data Science and/or Generative AI.
Please apply only if you answer yes to question 1, 2, 3 and 4. Thanks for your interest.
- You will graduate by July 2026 to start full time by August 17, 2026
- You are legally entitled to travel to US for mandatory new hiring training without sponsorship
- You will accept $65,000 per year with no bonus and no relocation
- You live in Toronto/Mississauga, Calgary or Vancouver otherwise will relocate at your own expense.
AI & Machine Learning Models Development:
o Develop generative and predictive AI models (including NLP, computer vision, etc.).
o Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, Pyspark) to develop AI solutions.
o Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions.
o Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency.
· Model Deployment & Maintenance:
o exposure AI models into production environments, ensuring scalability, performance, and optimization.
o exposure data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses).
· Experience or exposure:
o academic, internship or projects experience in AI, application development, machine learning, or a similar role.
o model deployment, MLOps, model monitoring, and managing data/model drift.
o predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion).
The base compensation range for this role in the posted location is $35,744 to $83,856.
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.
Frequently Asked Questions
How do I apply for the Entry Level Campus Hire - Gen AI Data Analyst position at Capgemini?
Use the Apply button above to submit your application directly to Capgemini. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Entry Level Campus Hire - Gen AI Data Analyst position at Capgemini located?
This position is based in CA. Capgemini has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Entry Level Campus Hire - Gen AI Data Analyst at Capgemini earn?
Capgemini has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Entry Level Campus Hire - Gen AI Data Analyst role at Capgemini posted?
This role was posted on April 6, 2026 (63 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Entry Level Campus Hire - Gen AI Data Analyst role at Capgemini entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Capgemini has listed.
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