Graduate Apprentice Trainee - Data Science

Volvo Group; Hosakote; On-site; INR 167,000 - 279,000; Part time

Job summary

Volvo Group is offering a Graduate Apprentice Trainee in Data Science at Hosakote. This entry-level role provides hands-on experience in data preparation, analytics, visualization, ML and AI under guidance from senior Data Scientists.

The program under National Apprenticeship Training Scheme (NATS) emphasizes learning through on-the-job training for 1 year, with exposure to business challenges and data-driven decision making. Prior work experience is not required.

Qualifications

• Bachelor's degree in Data Science, CS, Engineering or 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.

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 ML models for forecasting, prediction and classification.
• Assist in building dashboards and reports 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 DS/ML/AI to business challenges.

Skills

Python

SQL

Data science

Statistical thinking

Education

Bachelor's degree in Data Science, CS, Engineering or related field

Tools

Databricks

Power BI

Job description

Graduate Apprentice Trainee - Data Science

Location: Hosakote, IN, 562122

Position Type: Student

Permanent/Temporary: Temporary

Transport is at the core of modern society. 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 we could be a perfect match.

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.
• Analytical and Logical Thinking
• Problem Solving
• Attention to Detail
• Innovation and Curiosity
• Collaboration and Teamwork
• Effective Communication
• Curiosity and willingness to learn new concepts and technologies.
• Structured approach to problem-solving.
• Attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.
• 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.

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.

We value your data privacy and therefore do not accept applications via mail.

Who we are and what we believe in
We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.

Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.

Trucks Technology & Industrial Divisionhire team players who are ready to create real customer impact. Our decentralized teams work close to our customers, with speed and autonomy, to build what they truly need.
Join us to collaborate on innovative, sustainable technologies that redefine how we design, build, and deliver value. Bring your curiosity, your expertise, and your collaborative energy, and together, we’ll turn bold ideas into tangible solutions for our customers and contribute to a more sustainable tomorrow.

Job Category: Supply Chain & Logistics

Organization: Trucks Technology & Industrial

Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed. Looking ahead,we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society.

Joining Volvo Group, you will work with some of the world’s most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity.

Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect.

If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations.