Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 56.
From 10,207 similar postings that came down. Coming down is not always a hire.
Data Scientist
Bangalore, IN
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop and implement data science and analytics solutions using Python, PySpark and SQL
Build and optimize scalable ETL and data processing pipelines for large datasets
Perform data analysis, feature engineering and statistical analysis for business insights
Design and deploy data solutions on Azure/Microsoft, AWS or GCP
Implement CI/CD pipelines and work with engineering and business teams
From the employer’s posting
Develop and implement Data Science and Data Analytics solutions using Python, PySpark, and SQL.
Build and optimize scalable ETL and data processing pipelines for large datasets.
Perform data analysis, transformation, feature engineering, and statistical analysis to generate business insights.
Design and deploy data solutions using Azure/Microsoft Services, AWS, Azure, or GCP.
Implement CI/CD pipelines and collaborate with engineering and business teams to deliver reliable data solutions.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Capgemini Service SAS is hiring
343 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- GCP
- PySpark
Where the posting names them
Your Role - Develop and implement Data Science and Data Analytics solutions using Python, PySpark, and SQL. - Build and optimize scalable ETL and data processing pipelines for large datasets.
Your Profile - Strong hands-on experience in Python, PySpark, SQL, Data Science, and Data Analysis. - Good experience in developing and maintaining ETL/data integration pipelines.
- Perform data analysis, transformation, feature engineering, and statistical analysis to generate business insights. - Design and deploy data solutions using Azure/Microsoft Services, AWS, Azure, or GCP. - Implement CI/CD pipelines and collaborate with engineering and business teams to deliver reliable data solutions.
- Hands-on experience with Azure/Microsoft data services and cloud-based data solutions. - Working knowledge of AWS, Azure, or Google Cloud (GCP) and cloud data platforms. - Good understanding of CI/CD, data processing, performance optimization, and analytical problem-solving.
- Good experience in developing and maintaining ETL/data integration pipelines. - Hands-on experience with Azure/Microsoft data services and cloud-based data solutions. - Working knowledge of AWS, Azure, or Google Cloud (GCP) and cloud data platforms.
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
Has Capgemini Service SAS posted this job before?
Yes. We’ve followed one other Data Scientist job there since November 2026. It is still up.
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.
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
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.
Your Role
- Develop and implement Data Science and Data Analytics solutions using Python, PySpark, and SQL.
- Build and optimize scalable ETL and data processing pipelines for large datasets.
- Perform data analysis, transformation, feature engineering, and statistical analysis to generate business insights.
- Design and deploy data solutions using Azure/Microsoft Services, AWS, Azure, or GCP.
- Implement CI/CD pipelines and collaborate with engineering and business teams to deliver reliable data solutions.
Your Profile
- Strong hands-on experience in Python, PySpark, SQL, Data Science, and Data Analysis.
- Good experience in developing and maintaining ETL/data integration pipelines.
- Hands-on experience with Azure/Microsoft data services and cloud-based data solutions.
- Working knowledge of AWS, Azure, or Google Cloud (GCP) and cloud data platforms.
- Good understanding of CI/CD, data processing, performance optimization, and analytical problem-solving.
What you will love about working here
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
- You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
- At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, IN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.