Capgemini, one of the world’s leading technology and consulting companies, has opened applications for its Python/GenAI/Data Scientist role under the latest Capgemini Off Campus Drive 2025. The position is designed for professionals who want to build a strong career in Data & AI, working on advanced data modelling, analytics, and GenAI-driven business solutions. With the increasing demand for data experts across industries, this role offers a promising career path for individuals who want to contribute to intelligent decision-making and digital transformation.
Capgemini Off Campus Drive 2025
| Category | Details |
|---|---|
| Company Name | Capgemini |
| Job Role | Python / GenAI / Data Scientist |
| Qualification | Any relevant degree in Data Science, Computer Science, IT, Statistics, or Engineering |
| Experience Level | Executive |
| Contract Type | Permanent |
| Location | Pune, India |
| Professional Community | Data & AI |
| Ref Code | 250943 |
Job Overview
Capgemini is hiring Python/GenAI/Data Scientist professionals for its Pune location under a permanent, full-time contract. The position falls under the Executive level, focusing on developing data transformation pipelines, performing advanced analytics, and driving AI-led solutions aligned with business goals.
This role is ideal for individuals who enjoy working with structured and unstructured data, building models, generating insights, and leading analytical initiatives. The job closely aligns with the company’s digital strategy and offers ample opportunities for upskilling in Python, GenAI frameworks, and machine learning.
Key Responsibilities
The role focuses on end-to-end data analysis and leadership within the Data & AI division. The responsibilities include:
• Data Import, Processing, and Validation
Professionals will handle large volumes of structured and unstructured data. They will import, cleanse, inspect, and validate datasets to ensure the availability of consistent and accurate information for business operations.
• Data Transformation and Modelling
The job requires developing transformation logics, applying algorithms, and building models that can support strategic decisions. This includes working with modern Python libraries, GenAI frameworks, and data visualization tools.
• Business Insight Generation
The Data Scientist will interpret findings, generate insights from various data points, and present outcomes in the form of dashboards, charts, and visual reports. These insights help optimize processes, reduce costs, and improve business performance.
• Leading Data Analysis Initiatives
The position requires leadership qualities, as it involves overseeing data analysis projects, guiding junior analysts, and ensuring timely and quality-driven project delivery.
• Working with Cross-Functional Stakeholders
The professional will collaborate with business teams, project managers, engineers, and senior leadership to understand objectives and translate them into data-driven solutions.
• Ensuring Data Reliability
Ensuring that data repositories are dependable and aligned with evolving business requirements is a core responsibility of this role.
Skills Required
The ideal candidate should possess strong analytical, technical, and project management skills. Important skills include:
Technical Skills
- Strong knowledge of Python programming, including libraries for data manipulation and visualization.
- Experience with GenAI tools, algorithms, and related AI frameworks.
- Ability to inspect, clean, validate, and model data.
- Experience in building dashboards, charts, and analytical reports.
- Familiarity with SQL, data pipelines, and cloud-based repositories.
- Ability to interpret data and apply statistical techniques.
Soft Skills
- Strong communication and presentation skills.
- Ability to manage multiple projects simultaneously.
- Leadership qualities to guide team members and ensure successful outcomes.
- Critical thinking and problem-solving abilities.
- Adaptability to fast-paced and evolving project demands.
Why Join Capgemini?
Capgemini has long been recognized as a company that prioritizes innovation, collaboration, and employee growth. The Data & AI team offers:
- Exposure to cutting-edge AI and GenAI tools.
- Opportunity to work on large-scale digital transformation projects.
- Training programs for continuous upskilling and certifications.
- A global work culture with opportunities for career advancement.
- Long-term stability through a permanent employment structure.
- A work environment that values diversity, inclusion, and innovation.
For professionals aiming to build a long-term career in Data Science and Artificial Intelligence, this role provides the perfect platform.
Salary Details
While the job post does not list an official salary range, Data Scientist and Executive-level roles at Capgemini typically offer competitive packages based on experience, location, and skillset.
Industry estimates for similar roles range between:
₹6 LPA to ₹12 LPA (approx.)
Candidates with strong GenAI exposure or Python expertise may receive higher compensation.
Hiring Locations
The job location for this role is:
Pune, Maharashtra, India
This is a permanent, full-time opportunity based in one of Capgemini’s major technology hubs.
How to Apply
Candidates interested in Capgemini’s Python/GenAI/Data Scientist role can apply through the official careers portal. Here’s how:
- Visit the Capgemini Careers page.
- Search for Ref Code 250943 or the job title.
- Review the job description and eligibility.
- Click on Apply and complete the registration.
- Upload your resume and other required details.
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Note : Ensure your resume highlights your Python skills, analytics experience, and any GenAI projects you have worked on.
About the Company
Capgemini is a global leader in consulting, technology services, AI, digital transformation, and engineering. With a strong presence in more than 50 countries, the company focuses on helping businesses innovate and evolve through data-driven insights and next-generation technologies. Capgemini is known for its collaborative culture, strong learning ecosystem, and commitment to developing digital talent through continuous training programs and global exposure.
The Data & AI division, in particular, plays a crucial role in developing intelligent systems, automation models, GenAI-based tools, and analytical solutions that enhance business performance. Joining this team allows professionals to work on high-impact projects with modern tools and cloud technologies.
