Data Scientist

2 weeks ago

Bengaluru, Karnataka, India Capgemini Full time ₹ 20,00,000 - ₹ 25,00,000 per year
Job Description

Data Scientist / Machine Learning Engineer
Location: Pan India
Experience: 6–12 years

Choosing Capgemini means joining a global team where innovation meets impact. We empower professionals to shape their careers while solving real-world challenges through data-driven technologies. Join us in building scalable, intelligent solutions that transform industries.

Your Role

As a Data Scientist / Machine Learning Engineer, you will design and deploy advanced machine learning models, analyze large datasets, and deliver actionable insights. You'll collaborate across teams to build robust data pipelines and scalable solutions in cloud environments.

In this role, you will:

• Develop and deploy ML models using Python, scikit-learn, TensorFlow, or PyTorch

• Perform data cleaning, wrangling, transformation, and EDA using pandas and related libraries

• Apply statistical techniques like hypothesis testing, regression, ANOVA, and probability theory

• Implement supervised and unsupervised learning algorithms, feature engineering, and model tuning

• Create data visualizations using Matplotlib, Seaborn, or ggplot

• Work with big data tools like Apache Hadoop, Apache Spark, and distributed databases

• Write optimized SQL queries and manage relational databases

• Contribute to data engineering pipelines including integration, warehousing, and architecture

• Use cloud platforms like Microsoft Azure and Azure Machine Learning for scalable deployments

• Collaborate using Git for version control and team coordination

• (Optional) Apply deep learning models like YOLO for object detection

Your Profile


• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or related field

• 4–8 years of experience in data science, machine learning, or AI development

• Strong programming skills in Python and experience with data science libraries

• Solid understanding of statistical methods, ML algorithms, and data modeling

• Experience with cloud computing, big data tools, and database management

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 Working Here

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

About Us

At Capgemini Engineering, the world leader in engineering services, we bring together engineers, scientists, and architects to help 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.

Capgemini is a global business and technology 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.

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
1. Applies scientific methods to analyse and solve software engineering problems.
2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

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