Looking to kickstart your career in data science and Python development within the automotive industry? Volvo, a global leader in sustainable transport and engineering solutions, is offering an exciting Graduate Apprentice Trainee opportunity in Bangalore, India. This role is perfect for students and fresh graduates who are passionate about data analysis, engine performance, and applying machine learning to real-world automotive datasets. Join Volvo and gain hands-on experience working alongside industry experts while contributing to innovative, next-generation transport solutions.
About Volvo
Volvo is at the forefront of shaping sustainable transport and infrastructure solutions globally. With a strong focus on innovation, safety, and efficiency, Volvo continues to push boundaries in automotive engineering. By working with Volvo, interns gain exposure to cutting-edge technologies, large-scale datasets, and collaborative projects that have a real impact on future mobility solutions.
Volvo believes in creating a learning environment that fosters creativity, technical growth, and career development. Interns will have the chance to collaborate with cross-functional teams, including software engineers, domain experts, and data scientists, to develop solutions that drive meaningful outcomes.
Role Overview
As a Graduate Apprentice Trainee, you will contribute to Volvo’s engine performance and diagnostics data analysis. You will work with Python, machine learning, and data analytics techniques to extract actionable insights from large-scale automotive datasets.
Key Responsibilities
- Develop, test, and maintain Python applications for engine performance and diagnostics.
- Work with large datasets to detect anomalies, assess data quality, and identify patterns.
- Implement data cleaning, validation, and transformation routines.
- Apply data science and machine learning techniques to generate insights and support decision-making.
- Create reusable, well-documented code for internal and team use.
- Collaborate with cross-functional teams to refine requirements and implement solutions.
- Present findings through dashboards, reports, and data visualizations.
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Required Skills and Qualifications
- Currently pursuing a degree in Computer Science, Mechanical Engineering, Data Science, or related field.
- Strong proficiency in Python and libraries such as Pandas, NumPy, Matplotlib, Scikit-learn.
- Familiarity with data analysis, statistics, and machine learning concepts.
- Basic understanding of version control systems (Git).
- Strong problem-solving skills and attention to detail.
- Knowledge of SQL or other data querying languages.
Preferred Qualifications
- Exposure to automotive systems or engine performance domain knowledge.
- Experience with data visualization tools like Plotly, Dash, or Streamlit.
- Familiarity with Jupyter Notebooks and REST APIs.
Who Can Apply (Eligibility)
| Criteria | Details |
|---|---|
| Internship Type | Full-time, on-site |
| Education | Currently pursuing or recently completed degree in Computer Science, Mechanical Engineering, Data Science, or related field |
| Technical Skills | Python, Pandas, NumPy, Matplotlib, Scikit-learn, SQL |
| Experience | Academic projects or practical experience in data analysis or machine learning preferred |
| Location | Candidates must be willing to relocate or work in Bangalore, India |
| Availability | Must be available for the full duration of the internship program |
| Additional | Attention to detail, problem-solving mindset, and ability to work in a collaborative team environment |
Market Estimated Stipend
💰 Estimated Stipend: ₹15,000 – ₹25,000 per month (market average for similar automotive/data science internships in Bangalore)
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Perks and Benefits
- Certificate of internship completion.
- Letter of recommendation upon successful completion.
- Opportunity to work with a global automotive leader and gain exposure to next-generation transport solutions.
- Collaborative and learning-focused work environment.
- Hands-on experience in Python programming, data analytics, and machine learning.
How to Apply
Interested candidates can apply by clicking the button below. Ensure you meet all eligibility criteria and have relevant technical skills. Highlight your academic projects, Python expertise, and any machine learning experience in your application. Show enthusiasm for working in automotive analytics and your willingness to learn and grow with Volvo.
Disclaimer:
The information provided in this blog is collected from official/public sources and intended solely for informational purposes. Volvo does not charge any fees for applying to this internship. This info does not guarantee placement or recruitment. The stipend and benefits mentioned are market estimates and may vary. Users should verify details before applying. We are not responsible for any loss or inconvenience arising from reliance on this information.
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