Back to jobs

Associate Data Scientist

Pay
$46,000–111,000/year · BaseAnnual period assumed. Not guaranteed — pay source
Prior project or internship experience in a consulting environment. The base compensation range for this role in the posted location is:$46,000 to $111,000. 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.
Read the full posting
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Assist in designing, developing, and deploying AI/ML models, including GenAI and predictive

  • Support data collection, cleaning, and preprocessing for AI initiatives

  • Develop agentic AI workflows and intelligent agents to automate tasks

  • Identify client business challenges where AI-driven solutions fit

  • Build reusable assets, demos, and solution accelerators

From the employer’s posting
Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions.
Support data collection, cleaning, and preprocessing activities for AI initiatives.
Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency.
Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector.
Develop reusable assets, demos, and solution accelerators.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
  • Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations.
  • Proficiency in at least one AI-centric programming language (e.g., Python).
  • Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment.

Preferred experience

  • Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).
  • Experience with any of the following:
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations.
Proficiency in at least one AI-centric programming language (e.g., Python).
Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment.
Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).
Experience with any of the following:
Education & alternatives
Required Qualifications - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. - Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles.
Preferred Qualifications: - Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD). - Experience with any of the following:
Apply at Capgemini Service SAS

Posting record

Report an error

Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20263 days ago
Recorded sightings
2
Last seen by us
Nov 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$194K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,757 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 57.

From 10,595 similar postings that came down. Coming down is not always a hire.

Capgemini Service SAS is hiring

291 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Docker
  • GCP
  • MongoDB
  • MySQL
  • Neo4j
  • NoSQL
  • Oracle
  • Redis
  • PySpark
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts. - Proficiency in at least one AI-centric programming language (e.g., Python). - Experience with:
- Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy) - Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis) - Strong analytical, problem-solving, and critical thinking skills.
- Support data collection, cleaning, and preprocessing activities for AI initiatives. - Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services. - Utilize platforms such as Databricks, PySpark, and modern AI frameworks.
- REST APIs, JSON, Authentication, and Integration patterns - Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy) - Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)
- Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services. - Utilize platforms such as Databricks, PySpark, and modern AI frameworks. - Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency.
- computer vision - graph database technology (Neo4J, Ontotext) - JIRA / Confluence
Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients. We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills. Your Role:
- data visualization tools and techniques - Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn) - NLP

Your next step

Complete your application on careers.capgemini.com. The employer’s form will show what is required.

Applying through SAP SuccessFactors

  • Images (.jpg) aren’t accepted as a resume.

Already applied? Track this application

About Capgemini Service SAS

People
About 11,267 in 2024.Benefit plan filings (Form 5500)
Company
Listed as CAP.PA.
H-1B visas
771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,803.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Locations:

Houston ,TX - Onsite 

About the job you’re considering:

Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients.

We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills.

Your Role:

  • Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector.
  • Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions.
  • Support data collection, cleaning, and preprocessing activities for AI initiatives.
  • Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services.
  • Utilize platforms such as Databricks, PySpark, and modern AI frameworks.
  • Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency.
  • Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders.
  • Contribute to project documentation, reports, and client deliverables.
  • Develop reusable assets, demos, and solution accelerators.
  • Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape.
  • Foster a collaborative environment, actively sharing knowledge and best practices within the team.

Required Qualifications

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.
  • Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles.
  • Demonstrable background in the Energy & Utilities sector, specifically with OFSC (Oracle Field Service Cloud), Oil & Gas, or general Utilities industry knowledge.
  • Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
  • Proficiency in at least one AI-centric programming language (e.g., Python).
  • Experience with:
    • Generative AI concepts (GPT, Claude, LLMs)
    • MLOps, model deployment, and monitoring
    • LangChain and Retrieval-Augmented Generation (RAG) concepts
    • REST APIs, JSON, Authentication, and Integration patterns
    • Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
    • Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations.
  • Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment.

 

Preferred Qualifications:

 
  • Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD).
  • Experience with any of the following:
    • data visualization tools and techniques
    • Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)
    • NLP
    • computer vision
    • graph database technology (Neo4J, Ontotext)
    • JIRA / Confluence
  • Prior project or internship experience in a consulting environment.

 

 

 

The base compensation range for this role in the posted location is:$46,000 to $111,000.

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.

 

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Prior project or internship experience in a consulting environment. The base compensation range for this role in the posted location is:$46,000 to $111,000. 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.
Location & working pattern

Houston, TX, US

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.