Volvo Group
Data Analyst
Job Description
Work with us towards a greener future
Climate change is a reality. As a mobility provider, we recognise our impact on the environment and are determined to play our part in contributing to sustainable solutions. And it’s so exciting – we’re well on our way on our journey towards full electrification. If you share our commitment for creating a positive environmental impact, then join us in our mission to advance towards a greener future.
About Us
The Engineering Data Hub drives transformation and implementation of data, analytics & AI within Volvo Cars Engineering. The department handles competence growth and collaborations within data, analytics & AI. The department is cross-functional, consisting of data engineers, data scientists, machine learning engineers and software engineers developing product applications and services with both direct and indirect connection to our cars. By analyzing large amounts of vehicle data with customer centric analytics & AI, we enhance our products with new and improved functions and services.
We are now looking for a senior machine learning (ML) engineer that can complement our team in building automated solutions for extracting insights and building new functions for our vehicles and services. We seek a person with experience in building efficient and robust AI systems from early concept ideas to production ready code and applications. You are technically skilled and can drive projects forward by leading the technical development hands on, and by effective collaboration and knowledge sharing with others.
Required Qualitfications
• MSc in statistics, machine learning, computer science, applied mathematics or other related field. Or proven experience achieved by other means.
• 3+ years of experience as a machine learning engineer (or equivalent).
• Strong programming skills and in-depth knowledge of machine learning frameworks (e.g. PyTorch, Tensorflow and scikit-learn).
• Strong hands-on experience with developing scalable cloud solutions for ETL, training and deployment pipelines for ML models demanding large amounts of data.
• Experience in MLOps practices covering the whole machine learning lifecycle.
• Strong communication skills.
Meritorious
• Experience of verification and validation of ML algorithms and functional safety.
• Strong industrial experience from automotive is regarded as an advantage.
• Experience in analytics and modelling of time series data.
• Edge computing for distributed analytics and AI.
What we offer
• Dynamic work environment within a team of computer scientists, mathematicians, statisticians and physicists
• Full support for continuous personal development at all levels with our own “Volvo Cars School of Data Science” program
• Lots of data to play with and a wide range of application domains
Ready to Take the Next Step?
Please submit your application through our career page. Due to GDPR regulations, we’re unable to store or consider applications from other platforms. Make sure to submit your application in English.
If you have any questions about the recruitment process, you are welcome to reach out to Recruiter Gabriela Moraes at [email protected].
Once your application is successfully submitted, you’ll receive a confirmation email. Applications are open until 2nd November 2024. We’re excited to get to know you!
Volvo Cars – driving change together
Volvo Cars’ success is the result of a collaborative, diverse and inclusive working environment. Today, we’re one of the most well-known and respected car brands, with around 43,000 employees across the globe. At Volvo Cars, your career is designed around your skills and aspirations, so you can reach your fullest potential.
And it’s so exciting – we’re well on our way on our journey towards full electrification. We have five fully electric cars already on the market, and five more on the way. Our fully-electric and plug-in hybrid cars combined make up almost 50 per cent of our sales. So come and join us in shaping the future of mobility. There’s never been a more rewarding time to play your part in our inspiring and creative teams!
