ZipRecruiter

Log In

1

Capgemini Data Science Jobs (NOW HIRING)

Capgemini

Senior Data Engineer / Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

Partner with data scientists, engineers, analysts, product managers, and business stakeholders to ... Life At Capgemini Capgemini supports all aspects of your well-being throughout the changing stages ...

Capgemini

Data Scientist

New York, NY · On-site

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

GCP Data Scientist

Austin, TX · On-site

$76K - $187K/yr

... Science, Data Analytics teams) * Be an active participant and advocate of agile/scrum practice to ... Capgemini provides compensation range information in accordance with applicable national, state ...

United Airlines

AWS Data Scientist

Atlanta, GA

$85K - $105K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... The role requires hands-on experience across the full data science lifecycle and close ...

United Airlines

AWS Data Scientist

Atlanta, GA

$80K - $90K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... The role requires hands-on experience across the full data science lifecycle and close ...

United Airlines

AWS Data Scientist

Atlanta, GA

$80K - $90K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... The role requires hands-on experience across the full data science lifecycle and close ...

United Airlines

AWS Data Scientist

Atlanta, GA

$80K - $90K/yr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the ... The role requires hands-on experience across the full data science lifecycle and close ...

next page

Showing results 1-20

All JobsCapgemini Data Science Jobs

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 Jun 28, 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, and why are they important?

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:
What job categories do people searching Capgemini Data Science jobs look for? The top searched job categories for Capgemini Data Science jobs are:
Capgemini Data Science jobs near you
Infographic showing various Capgemini Data Science job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 90% Part Time, and 5% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,864 per year, or $56.2 per hour.
Senior Data Engineer / Analytics Engineer

Senior Data Engineer / Analytics Engineer

Capgemini

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 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

80th of 206 rated it services

Job description

Job Location - Chicago IL (Day One Onsite - Hybrid)
About The Role
  • The goal of analytics engineering team within the Service Analytics and AI organization is to build curated data products leveraging data from structured and unstructured enterprise data sources to enable business intelligence, data science, and advanced analytics.
  • Seeking a highly skilled and motivated data engineer to join Analytics Engineering team within the Service Analytics and AI organization.
  • This role is pivotal in designing, building, and maintaining scalable data pipelines and analytics solutions that empower Advanced Analytics, Business Intelligence, and Data Science initiatives.
  • You will play a crucial role in building a semantic data layer, defining and implementing cutting-edge data products, and delivering innovative AI-driven solutions that fuel business growth and enhance customer experience.

Key Responsibilities
  • Data Pipeline Development: Lead the design, development, and deployment of scalable and robust data pipelines, ensuring seamless data integration and processing across diverse systems.
  • Analytics Engineering Best Practices: Establish and uphold best practices for data engineering, including coding standards, data governance, performance optimization, and automation strategies.
  • Code Quality and Review: Participate in code reviews, provide constructive feedback, and contribute to the team's continuous improvement in coding practices and methodologies.
  • ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines, reusable frameworks, and libraries to process and transform data from diverse sources, ensuring accuracy, quality, and consistency.
  • System Monitoring: Proactively monitor and troubleshoot data pipelines, ensuring high availability, reliability, and performance across all data engineering workflows.
  • Automation and CI/CD: Implement CI/CD pipelines to streamline the deployment, testing, and maintenance of analytics engineering processes.
  • Cross-functional Collaboration: Partner with data scientists, engineers, analysts, product managers, and business stakeholders to understand requirements, translate them into actionable technical specifications, and deliver impactful data solutions.
  • Stakeholder Communication: Articulate complex technical concepts to non-technical stakeholders, fostering alignment and ensuring a shared understanding of data initiatives across teams.

Required Skills
  • Hands-on experience with SQL, Python, dbt, and Snowflake.
  • Experience in version control systems such as Git, and workflow management tools such as Airflow
  • Proven experience in designing and building scalable data pipelines, and architectures.
  • Strong understanding of data governance, quality assurance, and performance optimization in a data engineering context.
  • Expertise in ETL/ELT processes, data modeling, and integration of data from multiple sources into a data warehouse.
  • Experience with CI/CD workflows and tools for data engineering.
  • Strong problem-solving and analytical skills, with the ability to work effectively in a collaborative environment.

Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Salary Transparency
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
For this role, the gross annual base salary range is $110841 to $145000 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors - like your experience, skills, and qualifications - in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.

What Capgemini North America employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply