Excelher -Data Scientist

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. Go ahead and apply if you find the opportunities in line with your experience and career interest. Data Scientist: Digital Operations BLR Skills Required: Proficiency in Python for data processing, automation, and visualization. Strong knowledge of SQL for database design, querying, and optimization. Familiarity with Apache Airflow will be an added advantage Education & Experience Required: Bachelor’s/Master’s degree in electronics, software, computer engineering, or related field. 5+ years of experience in working with Data Engineering Projects using Python Good understanding and hands-on experience in working with GitHub or similar Excellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. Strong analytical and problem-solving abilities, with a proactive approach to identifying and addressing product risks and challenges. Key Responsibilities: Manage and process large datasets efficiently using data chunking and memory-optimized data manipulation techniques in Python with libraries such as Pandas, Polars, Dask, PyArrow, PySpark etc . Work with PostgreSQL databases and write efficient and scalable queries for data extraction, manipulation, and analysis. Automate data workflows and orchestrate processes using Apache Airflow . Handle various file formats including Parquet, JSON, CSV etc for efficient data storage, processing, and sharing. Utilize Amazon S3 Buckets for scalable data storage and efficient data retrieval. Develop and maintain interactive, user-friendly data applications for internal stakeholders. Create insightful visualizations and plots using Python libraries such as Matplotlib, Plotly etc. to communicate data trends and insights. Collaborate with Data Analysts, Data Scientists, and Business Stakeholders to gather and fulfil analytical requirements. 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 Division hire 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.