Capgemini Off-Campus Drive 2025 | Data Scientist Junior | Freshers
Table of Contents
Company: Capgemini
Role: Data Scientist Junior
Qualification: Bachelor’s or Master’s Degree
Salary Package: ~ ₹5,50,000 per annum
Location: Gurgaon, India
Application Deadline: Today, 11:59 PM
About Capgemini
Capgemini is a global leader in consulting, technology services, and digital transformation. With over 350,000 employees across 50+ countries, the company is renowned for driving innovation and enabling organizations to stay ahead in the digital age. Capgemini focuses on advanced technologies such as artificial intelligence, data analytics, cloud, cybersecurity, and automation to deliver intelligent solutions to its clients.
Joining Capgemini as a Data Scientist Junior provides fresh graduates with an opportunity to work on real-world machine learning and data science projects while gaining exposure to software development, analytics, and client-facing problem-solving.
Role Overview
The Data Scientist Junior role is designed for entry-level candidates with strong programming knowledge, a solid foundation in data science, and enthusiasm for solving real-world challenges. As part of Capgemini Exceller, candidates will work in cross-functional teams to analyze datasets, develop models, and provide business solutions.
Key Responsibilities:
- Design and develop custom software solutions and visualization tools.
- Apply machine learning and data science techniques to complex datasets.
- Collaborate with clients to understand technical and business problems.
- Use simulation, modeling, and analytics to deliver actionable insights.
- Communicate findings clearly through reports, presentations, and dashboards.
- Demonstrate flexibility by switching between software development and data science tasks.
Salary Details
The expected Compensation Package (CTC) for this role is ₹5.5 LPA. This includes:
- Fixed annual pay.
- Possible performance-based incentives.
- Standard employee benefits such as health insurance, paid leaves, and retirement contributions.
For freshers, this is a competitive salary in the data science domain, especially considering the opportunity for skill development and career growth within Capgemini.
Educational Eligibility
- Candidates must hold a Bachelor’s or Master’s degree in a relevant field (Computer Science, IT, Data Science, Statistics, Engineering, or related disciplines).
- Strong foundation in programming languages such as Python, MATLAB, R, Java, C, C#, or C++.
- Exposure to machine learning techniques, modeling, and statistical analysis.
- Familiarity with handling complex datasets and data visualization.
Application Process
Applicants must apply through the official Capgemini portal and complete the registration before the deadline.
Important Requirements:
- Candidates must have an active DigiLocker account.
- Aadhaar-linked mobile number is mandatory for verification during the application process.
Steps to Apply:
- Visit the official Capgemini Careers page.
- Register with your email ID and complete the application form.
- Upload updated resume and required documents (degree certificates, ID proof, etc.).
- Confirm Aadhaar-linked mobile number verification via DigiLocker.
- Submit the application before 11:59 PM today.
Interview Process
The recruitment process for Capgemini’s Data Scientist Junior role typically includes:
- Online Assessment – Covers programming (Python/R/Java), quantitative aptitude, logical reasoning, and machine learning basics.
- Technical Interview – Focuses on data science projects, coding ability, statistical methods, and problem-solving. Expect questions on supervised vs. unsupervised learning, regression, clustering, and SQL queries.
- Managerial/Case Discussion – Scenario-based questions to test how you approach real-world business problems using data science.
- HR Round – Discussion on cultural fit, salary expectations, willingness to relocate, and growth opportunities.
Benefits of Working at Capgemini
- Competitive salary package and employee-friendly policies.
- Hands-on exposure to real-world data science projects.
- Access to Capgemini Learning Programs for certifications and upskilling.
- Inclusive work culture with opportunities for international projects.
- Career progression into roles such as Data Scientist, Machine Learning Engineer, or AI Specialist.
Resume Tips for Applicants
- Highlight technical skills: Python, R, MATLAB, SQL, data visualization, and ML algorithms.
- Mention coursework or certifications in data science, machine learning, or AI.
- Add internships, academic projects, or Kaggle competitions to showcase practical application.
- Keep the resume one page for freshers with clear sections for skills, education, and projects.
- Use action words such as developed, implemented, analyzed, and optimized.
Recommended Courses to Strengthen Your Profile
To stand out in the selection process, candidates can pursue the following certifications:
- Python for Data Science (Coursera/edX/Great Learning).
- Machine Learning Specialization – Andrew Ng (Coursera).
- Data Visualization with Tableau or Power BI.
- SQL for Data Analysis (Udemy/LinkedIn Learning).
- Capgemini Exceller Certification Program modules (if offered).
Why Apply for This Role?
This is an excellent opportunity for freshers aiming to build a career in data science and machine learning. With Capgemini’s global presence, structured training programs, and exposure to diverse client projects, candidates will gain a strong foundation for long-term growth. The role also offers the flexibility to explore both software development and analytics, making it ideal for well-rounded tech professionals.
Application Link: Click Here
Important Note
This job update is for informational purposes only. All interested candidates are advised to visit the official Capgemini Careers portal to verify details, eligibility, and application steps. The salary, requirements, and timelines may change as per company policies. Since today is the last date to apply (till 11:59 PM), candidates should complete the application at the earliest.