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Capgemini Data Science Jobs (NOW HIRING)

Data Scientist/ AI Engineer

San Francisco, CA

$90K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field. 3-5 years ...

Data Scientist

Manhattan, NY

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... Positioned at the intersection of data science, GenAI, and product thinking, you will work directly ...

Capgemini Invent - Director Org Purpose

Manhattan, NY · On-site

$159.38 - $311.68/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Informed and validated by science and data. Superpowered by creativity and design. All underpinned ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

Junior AI Data Scientist/Engineer

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... Bachelor's degree in computer science, Information Technology, or a related field. * Academic ...

Data Engineer (Palantir Foundry)

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... Cross-Functional Collaboration & Leadership • Partner with data scientists, analysts, and ...

US_East | Data Engineer_L3

Philadelphia, PA · On-site

$115K - $138K/yr

Marie.samayoa@capgemini.com Data Scientist Location: Philadelphia, PA Client Specific Location Open for remote work from East Coast Our client is seeking a highly skilled Data Scientist to drive the ...

Director / Sr. Director - Digital Engineering

Atlanta, NY · On-site

$180 - $280/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants ... Informed and validated by science and data. Superpowered by creativity and design. All underpinned ...

Showing results 41-60

Capgemini Data Science information

See salary details

$23.5K

$116.9K

$210.5K

How much do capgemini data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for capgemini data science in the United States is $116,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $161,000.00 per year, depending on experience, location, and employer.

How do data science professionals at Capgemini typically collaborate with cross-functional teams?

At Capgemini, data science professionals regularly work alongside business analysts, software engineers, and client stakeholders to deliver data-driven solutions. Collaboration often involves participating in agile project teams, where data scientists contribute insights and build models that support business objectives. This cross-functional approach ensures that technical solutions are aligned with client needs and operational requirements, fostering both innovation and effective problem-solving. Regular communication and knowledge sharing are central to project success at Capgemini.

What does a data scientist do at Capgemini?

A data scientist at Capgemini is responsible for analyzing large volumes of data to help clients solve business problems and make data-driven decisions. They use machine learning, statistical models, and data visualization techniques to extract insights from complex datasets. The role often involves working with clients across various industries to develop tailored solutions, collaborating with cross-functional teams, and communicating findings to both technical and non-technical stakeholders.

What is the difference between Capgemini Data Science vs Capgemini Data Analyst?

AspectCapgemini Data ScienceCapgemini Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data interpretation, reporting, basic SQL and Excel skills
CertificationsData Science certifications, Python/R proficiencyData analysis certifications, Excel, SQL courses
Work EnvironmentDeveloping models, predictive analytics, complex data projectsData cleaning, reporting, dashboards, descriptive analytics
Industry UsageUsed in predictive modeling, AI projects, advanced analyticsUsed in reporting, business insights, data visualization

Capgemini Data Science roles focus on building predictive models and applying machine learning techniques, requiring advanced skills and certifications. In contrast, Capgemini Data Analysts primarily handle data reporting, visualization, and basic analysis. Both roles are essential in data-driven decision-making but differ in complexity and technical depth.

What are the key skills and qualifications needed to thrive as a Capgemini data scientist?

To thrive as a Capgemini Data Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree and experience in data analysis. Proficiency with tools and languages such as Python, R, SQL, and machine learning frameworks like TensorFlow or Scikit-learn, along with familiarity with cloud platforms like AWS or Azure, is typically required. Strong problem-solving, critical thinking, and communication skills help distinguish top performers, enabling them to translate complex data insights into actionable business strategies. These skills and qualities are essential for delivering high-impact solutions that drive data-driven decision-making and innovation for Capgemini's clients.
More about Capgemini Data Science jobs

What states have the most Capgemini Data Science jobs?

States with the most job openings for Capgemini Data Science jobs include:

Infographic showing various Capgemini Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.

Principal Data Scientist - Director, Lean Analytics

Capgemini

Chicago, IL • On-site

$118K - $270K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 224 rated it services


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.
Location
This role is based in the US.
About the Job You're Considering
The Director, Lean Analytics - CIS is a senior, client-facing leader responsible for transforming complex data into compelling business stories that influence executive decision making. This role focuses on shaping clear, outcome-oriented narratives that help clients and leaders understand challenges, risks, and opportunities-and act on them with confidence.
Partnering closely and effectively with business and client stakeholders, the Director elevates analytics from reporting to insight-led storytelling, connecting data to strategy, operations, and measurable impact. Success in this role is defined by the ability to frame insights with clarity, context, and relevance, enabling stronger client conversations and smarter decisions across global engagements.
Your Role
  • Support the execution of global analytics initiatives aligned to business and delivery objectives.
  • Translate data into concise, outcome-focused insights that support leadership decisions and client conversations.
  • Partner with business and delivery leaders to identify and prioritize data-driven improvement opportunities.
  • Support the development and enhancement of analytics platforms, reporting, and data infrastructure.
  • Use analytics to surface risks, trends, and operational challenges impacting delivery.
  • Ensure data quality, consistency, and governance across programs and reporting outputs.

Leadership & Client Engagement
Demonstrated ability to operate as a senior, client-facing leader, engaging directly with executives to shape strategy, influence decisions, and drive measurable business outcomes. Proven strength in translating complex analytics into clear, compelling narratives that resonate with business leaders and enable action. Brings strong executive presence, sound judgment, and the ability to navigate ambiguity while building trust and alignment across diverse stakeholders. Experience leading high-impact conversations, facilitating decision-making, and driving adoption of insights within global, matrixed environments.
Your Skills And Experience
  • 12+ years of experience in data analytics, AI, or data engineering.
  • Proven experience leading teams and delivering analytics solutions in complex environments.
  • Strong understanding of analytics platforms, data pipelines, and enterprise data ecosystems.
  • Ability to communicate insights clearly to senior stakeholders and non- technical audiences.
  • Demonstrated impact improving operational efficiency and decision making through analytics.
  • Experience supporting global or large-scale delivery programs.
  • Exposure pricing, forecasting, demand planning, or risk analytics.
  • Background working impactfully within large, technology-driven organizations.

The base compensation range for this role in the posted location is: $118,218 - $270,050.
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.

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