Graduate Apprentice Trainee - Data Science

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (Python, SQL, Data Science concepts, basic ML) → Round 3: HR Interview (behavioral fit, NATS eligibility, communication skills)

Volvo Group promotes a people‑first culture where safety, sustainability and collaboration are core values. Employees enjoy a balanced work‑life environment, continuous learning opportunities, and clear career progression within a globally recognised brand.

Volvo Group’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on Python coding, SQL queries, and fundamental data‑science concepts. The final HR round assesses cultural fit, communication skills and understanding of the NATS apprenticeship. The overall difficulty is moderate; thorough preparation of basics and clear articulation of project experiences help candidates succeed.

Bachelor's degree in Data Science, Computer Science, Information Technology, Electronics & Communication, Mechanical/Electrical Engineering or related field; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs at the time of joining; graduating batch 2023‑2025 (or recent graduates); must be a citizen of India and eligible for NATS apprenticeship; willingness to work on‑site in Hosakote for the full training period.

Volvo Group is a global leader in transport solutions, with a legacy of over 90 years in designing, manufacturing and servicing trucks, buses, construction equipment and marine & industrial engines. In India, Volvo operates through its Trucks Technology & Industrial Division, focusing on sustainable mobility, safety and efficiency. The company’s culture is built around care, inclusiveness and empowerment, encouraging employees to innovate while maintaining a strong sense of responsibility towards society and the environment. The Graduate Apprentice Trainee – Data Science role is part of the National Apprenticeship Training Scheme (NATS), a flagship Government of India initiative that provides a structured one‑year on‑the‑job training for fresh engineering and science graduates. As an apprentice, you will be embedded within Volvo’s Data Science and Analytics team, working on real‑world business problems that influence transport and infrastructure decisions. You will receive mentorship from senior data scientists, gain exposure to cutting‑edge tools, and contribute to projects that have a tangible impact on Volvo’s operations and sustainability goals. Key Responsibilities: 1. Collect, clean, transform and validate data from multiple internal and external sources. 2. Perform exploratory data analysis using Python, SQL and Databricks to uncover patterns and trends. 3. Build and test basic statistical and machine‑learning models for forecasting, classification and prediction. 4. Develop interactive dashboards and visualisations in Power BI or equivalent tools. 5. Document data sources, assumptions, methodology and findings for reproducibility. 6. Support data‑quality improvement initiatives and suggest AI‑driven solutions to business challenges. 7. Collaborate closely with data scientists, engineers and business stakeholders to translate requirements into analytical deliverables. 8. Communicate insights clearly through reports, presentations and visual storytelling. 9. Stay updated with emerging data‑science techniques and proactively propose their application. 10. Adhere to data‑privacy and confidentiality standards throughout the apprenticeship. Tech Stack: Python (pandas, numpy, scikit‑learn), SQL, Databricks, Power BI, Git, basic Linux commands, statistical concepts, introductory machine‑learning algorithms. Growth Path: Successful completion of the apprenticeship can lead to a full‑time Junior Data Scientist or Analyst position within Volvo Group, with clear pathways to senior analytics roles, project leadership, or specialised domains such as AI‑driven predictive maintenance. Why Join Volvo Group? You will work on sustainable transport solutions that shape the future of mobility, gain hands‑on experience with industry‑grade tools, and be part of a collaborative, inclusive environment that values continuous learning. The apprenticeship also offers a stipend, mentorship, and the prestige of being associated with a world‑renowned brand committed to innovation and social responsibility.