Graduate Apprentice Trainee - Data Science

Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then Volvo Group could be a perfect match.

About the NATS Program

This role is offered under the National Apprenticeship Training Scheme (NATS), a flagship initiative of the Government of India designed to equip Indian youth with practical, trade-specific skills. Administered under the provisions of the Apprentices Act, 1961 (amended in 1973), this program at Volvo Group offers engineering graduates and diploma holders a structured, 1-year practical, hands-on On-the-Job Training (OJT) opportunity to build industry-ready capabilities.

About the Role

We are looking for an enthusiastic and analytical Graduate Apprentice Trainee (GAT) – Data Science to join our Data Science and Analytics team.

This entry-level role provides fresh graduates with an opportunity to gain hands-on experience in data preparation, analytics, visualisation, statistical modelling, Machine Learning and AI. The selected candidate will work under the guidance of experienced Data Scientists and collaborate with business and technical teams to understand business challenges and support data-driven decision-making. We value curiosity, logical thinking and a willingness to learn. Prior work experience is not required.

Key Responsibilities

• Assist in collecting, cleaning, transforming and validating data from different sources.
• Prepare and analyse datasets using Python, SQL and tools such as Databricks.
• Perform exploratory data analysis to identify patterns, trends and useful insights.
• Support the development and testing of basic analytical and Machine Learning models for forecasting, prediction and classification.
• Assist in building dashboards, reports and visualisations using Power BI or similar tools.
• Collaborate with Data Scientists and business teams to understand requirements and support data-driven solutions.
• Document data sources, assumptions, analysis and key findings.
• Contribute to data-quality improvements and identify opportunities to apply Data Science, Machine Learning and AI to business challenges.
• Communicate findings clearly through reports, dashboards and presentations.

What You'll Gain

• Hands-on experience solving real-world business challenges.
• Guidance and mentorship from experienced Data Scientists and analytics professionals.
• Exposure to Data Science, Machine Learning, AI and business analytics projects.
• Opportunities to develop technical, analytical and communication skills.
• A supportive environment for continuous learning and professional growth.

Required Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering or a related field.
• Basic understanding of statistics, probability and data analysis concepts.
• Basic programming knowledge in Python.
• Familiarity with SQL and fundamental database concepts.
• Introductory understanding of Machine Learning and its applications.
• Strong logical-thinking and problem-solving skills.
• Willingness to learn new tools and technologies and apply analytical thinking to practical business problems.

Key Competencies

• Analytical and Logical Thinking
• Problem Solving
• Attention to Detail
• Innovation and Curiosity
• Collaboration and Teamwork
• Continuous Learning
• Effective Communication
• Curiosity and willingness to learn new concepts and technologies.
• Structured approach to problem-solving.
• Commitment to data accuracy.
• Ability to explain technical findings in simple language.
• Ability to work independently on assigned tasks with appropriate guidance.
• Willingness to collaborate, receive feedback and continuously improve.
• Good time-management skills and a sense of responsibility.
• Responsible handling of data and confidential information.