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.
About ExcelHer program: Are you looking for an opportunity to restart your career?Do you want to join an organization that values your experience, no matter when it was gained?We are pleased to introduce ExcelHer, Volvo Group India’s career returnship program designed to support talented professionals who are ready to restart their careers. Open to individuals across genders who have taken a career break of one year or more, ExcelHer provides an opportunity to re-enter the workforce with confidence and continue their professional journey.The program offers a 9-month assignment and provides participants with access to professional development opportunities, mentorship from a business leader, and the chance to work with diverse teams across functions, technologies, and cultures.
Required Profile
The ideal ExcelHer participant should have:
Basic understanding of data analysis and engineering datasets
Interest in AI, machine learning, or intelligent assistants
Programming skills in Python or similar programming languages
Ability to work with raw, structured, and semi-structured data formats
Strong problem-solving mindset and willingness to learn new engineering domains
Good communication, analytical, and documentation skills
Ability to collaborate effectively with cross-functional engineering and software teams
The ExcelHer participant will be responsible for:
Collecting and understanding relevant battery test datasets
Identifying key parameters, signals, and KPIs relevant to battery testing
Developing scripts, workflows, or prototype tools for data analysis
Supporting the implementation of AI- or rule-based logic for test result verification
Testing the AI assistant using sample battery test cases
Comparing AI-supported outputs with engineering expectations and validating results
Identifying opportunities to improve usability, robustness, and scalability
Collaborating with battery engineers, data specialists, and software teams
Documenting analysis, findings, workflows, and recommendations
The ExcelHer participant will contribute to the development of an AI-based assistant that can:
Process and analyze raw battery testing data
Support analysis of test behavior, trends, and anomalies
Assist in verification of test results against defined engineering criteria
Improve efficiency in engineering investigations and reporting
Build a foundation that can be further extended to other systems and components