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Volvo Group is Hiring Graduate Apprentice Trainee – Data Science

Trucks Technology & Industrial • Hosakote, Karnataka

Volvo Group Logo
1-Year Apprenticeship (NATS)
Hosakote, India (562122)
Requisition ID: 36306

Experience
Freshers Welcome
Qualification
Bachelor's Degree
Stipend (Est.)
₹18K–₹23K / mo
Work Mode
Temporary Apprenticeship
Student 1 Student 2 Student 3
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YOUR NEXT DATA ANALYST INTERVIEW
DESERVES YOUR BEST PREPARATION.

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Last Updated: September 2026
Offer Price
₹149 ₹999
Expires in: 06h 00m 00s

Inspired by Interview Trends Across:

• Top Tech Product Companies • Big 4 Consulting Firms • Global Analytics Centers • High-Growth Startups • Fortune 500 Companies • Top Tech Product Companies

Job Overview

Volvo Group is looking for a Graduate Apprentice Trainee – Data Science to join its Data Science and Analytics team in Hosakote, Karnataka.

This opportunity is designed for fresh graduates who want practical exposure to data preparation, exploratory data analysis, statistical modelling, Machine Learning, AI, and data visualisation. Apprentices will work under experienced Data Scientists and collaborate with business and technical teams to support data-driven decision-making.

The position is offered through the National Apprenticeship Training Scheme (NATS), providing structured, hands-on industry training over one year.

This opportunity is ideal for candidates searching for:

  • Volvo Group Data Science Apprentice jobs in Hosakote / Bangalore
  • NATS Data Science Apprenticeships for freshers
  • Entry-level data analyst and machine learning jobs
  • 1-year paid apprenticeship programs in top manufacturing firms

Key Responsibilities

Data Preparation and Analysis

  • Collect, clean, transform, and validate 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 insights.
  • Document data sources, assumptions, analysis, and findings.

Machine Learning and AI

  • Support the development and testing of basic analytical and Machine Learning models.
  • Assist with forecasting, prediction, and classification tasks.
  • Explore opportunities to apply Data Science, Machine Learning, and AI to business challenges.
  • Contribute to data-quality improvements.

Reporting and Visualisation

  • Assist in developing dashboards and reports using Power BI or similar tools.
  • Present analytical findings through reports, dashboards, and presentations.
  • Communicate insights clearly to technical and business stakeholders.

Collaboration and Learning

  • Work with Data Scientists and business teams to understand requirements.
  • Participate in collaborative problem-solving and analytical projects.
  • Learn new tools, technologies, and data analysis techniques.
  • Incorporate feedback and continuously improve technical skills.

Skills & Technologies

Core Technical Stack

Python SQL Power BI Databricks Data Cleaning & Transformation Exploratory Data Analysis (EDA) Statistics & Probability Machine Learning Fundamentals

Professional Skills

  • Strong logical thinking and problem-solving skills.
  • Willingness to learn new technologies and apply analytical thinking.
  • Clear communication and effective teamwork.

Eligibility & Details

  • Education Requirement: Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.
  • Experience Required: Freshers eligible; prior professional experience is not required.
  • Apprenticeship Terms: 1-year duration under the National Apprenticeship Training Scheme (NATS). Estimated stipend: ₹18,000–₹23,000 per month.

How to Apply

1

Click Apply Button

Scroll down and click the primary orange "Apply Now" button below.

2

Visit Volvo Group Portal

You will be redirected to the official careers website. Search for Requisition ID 36306 if required.

3

Submit Application

Ensure your resume highlights your Python, SQL, and Machine Learning foundation before submitting.


⚠️ Data Science roles at top firms fill up rapidly. Apply as soon as possible.

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