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Capgemini Data Science Jobs (NOW HIRING)

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... data scientists analysts and business teams to understand data requirements Provide technical ...

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... Collaborate with data scientists, analysts, and DevOps teams. Required Skills & Qualifications

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... Collaborate with Data Scientists, Business Analysts, Product Owners, and Application Development ...

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... degree in Computer Science, Engineering, or related field 8+ years of experience in data ...

$46K - $111K/yr

... Capgemini solution teams, with a mandatory focus on Pharma/Life Sciences domains. The role is responsible for eliciting, analyzing, documenting, and communicating business, system, and data ...

FSSBU - AWS Data Engineer - C1 - (BARC)

New York, NY · On-site

$125K - $150K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data ...

Data Scientists building predictive and AI models * Product Analysts measuring customer behavior and product performance * Analytics engineers and platform specialists (likely indirectly) * Vendor ...

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 ...

(Senior) Data Architect (w/m/d)

Berlin, NH · On-site

$102.76 - $137.02/hr

Die Capgemini Engineering Service GmbH ist Teil von Capgemini Engineering, dem weltweit führenden ... Gemeinsam bringen wir ein globales Team von Ingenieur*innen, Wissenschaftler*innen und Architekt ...

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 Sep 6, 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.

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 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.

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 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.

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.

Capgemini Invent- Contextual Systems Engineer Managing Consultant

Capgemini Invent

Chicago, IL • On-site

$127K - $249K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Lead the end-to-end design and delivery of enterprise context platforms that enable AI systems to understand and operate on business knowledge at scale

  • Architect knowledge graph solutions, semantic layers, and context store infrastructure at scale

  • Manage delivery teams to ensure quality, timeliness, and alignment with client objectives


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 makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen-grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor ("forward deployed") mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.
Your Role
As a Managing Consultant, Contextual Systems, you will lead the end-to-end design and delivery of enterprise context platforms that enable AI systems to understand and operate on business knowledge at scale. You will own the architecture vision for a client's semantic and knowledge layer, manage delivery teams, and ensure solutions meet both technical standards and business requirements.
You will serve as a trusted advisor to VP-level client leaders, including data architects, CDOs, and engineering executives, owning the technical relationship and guiding platform decisions. Operating with significant independence, you are accountable for engagement quality, team performance, and client satisfaction.
In addition to client delivery, you will contribute to account growth and practice development, helping shape DDT's contextual systems methodology, reusable accelerators, and architectural standards.
Core responsibilities include:
  • Leading end-to-end design and delivery of enterprise context platforms for major clients
  • Architecting knowledge graph solutions, semantic layers, and context store infrastructure at scale
  • Owning technical relationships with client data, AI, and engineering leadership
  • Establishing platform governance standards, versioning protocols, and reusable architectural patterns
  • Managing delivery teams to ensure quality, timeliness, and alignment with client objectives
  • Contributing to DDT's contextual systems methodology and accelerator library
  • Driving account expansion by identifying adjacent platform and architecture opportunities

Your Skills + Experience
You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI-augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI-driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.
Required:
  • 7-9 years of experience in data or knowledge architecture, with enterprise-scale delivery experience
  • Deep expertise in semantic layers, knowledge graphs, and metadata management
  • Proven experience leading technical delivery teams in consulting or client-facing environments
  • Strong understanding of AI/ML integration patterns and governed data infrastructure
  • Demonstrated ability to architect platforms designed to scale and endure beyond the engagement

Beneficial experience:
  • Experience across cloud data platforms such as BigQuery or Snowflake
  • Familiarity with governance and catalog tooling (e.g., Collibra, Atlan)
  • Interest in applied AI, contextual systems, and agent-enabled architectures

The base compensation range for this role in the posted location is: $127,500 - $249,350
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.