Job description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. About the Job You're Considering At Capgemini Invent, our Data Driven Transformation (DDT) team helps clients unlock the value of data, analytics, AI, and intelligent automation to drive measurable business outcomes. We combine consulting, data science, AI engineering, and industry expertise to deliver practical solutions that move from strategy to production. As a Data Scientist, you will work as part of multidisciplinary teams to design, build, and deploy advanced analytics, machine learning, and AI solutions that solve complex business challenges. You will collaborate with business stakeholders, data engineers, AI engineers, and transformation consultants to create data-driven products and insights that accelerate enterprise transformation. Your Role • Develop and deploy machine learning, predictive analytics, and AI solutions to address client business challenges. • Build, test, and optimize statistical models using structured and unstructured data. • Work with large datasets from multiple sources to identify trends, patterns, and actionable insights. • Collaborate with data engineers and AI engineers to operationalize models and support production deployment. • Translate business requirements into analytical approaches, model designs, and measurable outcomes. • Develop data visualizations, dashboards, and storytelling materials that communicate insights to technical and non-technical audiences. • Support Generative AI and advanced analytics initiatives, including LLM-enabled use cases and intelligent automation solutions. • Contribute to client workshops, solution design sessions, and proposal development activities. Your Skills + Experience • 5-8 years of experience delivering advanced analytics and AI solutions in consulting or industry environments. • Experience leading analytical workstreams and managing stakeholder expectations. • Hands-on experience deploying machine learning solutions in production environments. • Experience designing AI-enabled products, cloud-native analytics solutions, or enterprise-scale data science initiatives. • Ability to mentor junior team members and guide best practices in model development and experimentation. • Experience presenting findings and recommendations to client leadership. • Master's degree preferred in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field. The base compensation range for this role in the posted location is: $100,500 - $189,890. 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. capgemini.com 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.

Requirements

Must-haves

About the Job You're Considering
Develop and deploy machine learning, predictive analytics, and AI solutions to address client business challenges.
Build, test, and optimize statistical models using structured and unstructured data.
Work with large datasets from multiple sources to identify trends, patterns, and actionable insights.
Collaborate with data engineers and AI engineers to operationalize models and support production deployment.
Translate business requirements into analytical approaches, model designs, and measurable outcomes.
Develop data visualizations, dashboards, and storytelling materials that communicate insights to technical and non-technical audiences.
Support Generative AI and advanced analytics initiatives, including LLM-enabled use cases and intelligent automation solutions.
Contribute to client workshops, solution design sessions, and proposal development activities.
Your Skills + Experience
5-8 years of experience delivering advanced analytics and AI solutions in consulting or industry environments.
Experience leading analytical workstreams and managing stakeholder expectations.
Hands-on experience deploying machine learning solutions in production environments.
Experience designing AI-enabled products, cloud-native analytics solutions, or enterprise-scale data science initiatives.
Ability to mentor junior team members and guide best practices in model development and experimentation.
Experience presenting findings and recommendations to client leadership.
The base compensation range for this role in the posted location is: $100,500 - $189,890.
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.
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:
Life and disability insurance
Other benefits as provided by local policy and eligibility

Nice-to-haves

Master's degree preferred in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off