Data Scientist

Job Description - Grade Specific

Data Scientist / Machine Learning Engineer

Location: Pan India

Experience: 6–12 years

Why Join Capgemini?

Be part of a global team where innovation meets impact. At Capgemini, we empower professionals to shape their careers while solving real-world challenges through data-driven technologies. Help build scalable, intelligent solutions that transform industries.

Your Role

As a Data Scientist / ML Engineer, you’ll design and deploy advanced models, analyze large datasets, and deliver actionable insights. You’ll collaborate across teams to build robust data pipelines and scalable cloud solutions.

Responsibilities

• Develop ML models using Python, scikit-learn, TensorFlow, or PyTorch
• Perform data cleaning, transformation, and EDA with pandas
• Apply statistical methods: hypothesis testing, regression, ANOVA, probability
• Implement supervised/unsupervised learning, feature engineering, model tuning
• Create visualizations using Matplotlib, Seaborn, or ggplot
• Work with big data tools: Hadoop, Spark, distributed databases
• Write optimized SQL queries and manage relational databases
• Contribute to data engineering: integration, warehousing, architecture
• Deploy solutions on Microsoft Azure and Azure ML
• Collaborate using Git for version control
• (Optional) Apply deep learning models like YOLO for object detection
  
  

Your Profile

• Bachelor’s/Master’s in CS, Data Science, Statistics, Engineering, or related field
• 4–8 years in data science, ML, or AI development
• Strong Python skills and experience with data science libraries
• Solid understanding of statistics, ML algorithms, and data modeling
• Experience with cloud platforms, big data tools, and databases
  
  

Preferred Skills

• Experience with YOLO, OpenCV, or computer vision frameworks
• Familiarity with CI/CD pipelines for ML deployment
• Knowledge of MLOps practices and tools
  
  

What You’ll Love About Us

We support flexible schedules and remote work to promote work-life balance. Our inclusive culture fosters growth, innovation, and continuous learning in emerging technologies like cloud, AI, and data engineering.

About Capgemini Engineering

Capgemini Engineering is a global leader in engineering services, helping the world’s most innovative companies unleash their potential—from autonomous vehicles to life-saving robots. We deliver unique R&D and engineering services across industries.

About Capgemini

Capgemini is a global transformation partner with 360,000 team members in over 50 countries. With deep industry expertise and a 55-year legacy, we help clients address their full business needs—from strategy to operations—driven by our purpose: unleashing human energy through technology for an inclusive and sustainable future.

Software Engineering Focus

• Applies scientific methods to solve software engineering problems
• Develops and maintains software solutions
• Exercises original thought and supervises technical work
• Builds expertise aligned with professional standards
• Collaborates as a team player with engineers and stakeholders