Data Scientist
Capgemini
Date: 3 weeks ago
City: Bengaluru, Karnataka
Contract type: Full time
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
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
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
- 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
- Experience with YOLO, OpenCV, or computer vision frameworks
- Familiarity with CI/CD pipelines for ML deployment
- Knowledge of MLOps practices and tools
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
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