Data Scientist - Safety Research

Innovation starts with being curious.

At Volvo Cars, we believe that being curious and truly committed to understanding people is the key to future success. We are people who care about other people, working together to create new technologies and innovations for safe, sustainable and convenient mobility. Want to join us?

At Volvo Cars Safety Centre, we have around 200 highly skilled professionals who strive every day to make the world a safer place for vehicle occupants, their loved ones, and the people around them. Covering the Safety and Durability attributes, we bravely relentlessly lead the way for safety in and support of the company’s strategic direction: Freedom to move in a personal, sustainable and safe way.

The Data, Analytics and Artificial Intelligence team at Volvo Cars Safety Centre works in large part with real world safety data to understand and explain accident and injury causation mechanisms and, thus, laying foundations for future safety features and functions in upcoming car development programs. We provide our knowledge to our car programmes through data analysis and knowledge needed to help drive the engineering of world leading products. The work is performed in close collaboration with Volvo Cars digital organisation and relevant data analytics organisations that provides us the governance and digital infrastructure for retrieving and analysing real world data.

Position and Person Details

We are currently looking for a data scientist with excellent software development skills. Your primary focus will be to develop world class data analytics and AI products by applying scientifically established methods and techniques such as statistics, machine learning and deep learning. You shall develop these by following best practices and well accepted design principles in software engineering and machine learning operations (ML/AIOPS). In addition, you may have the opportunity to be involved in developing novel methods in data science with automotive safety as a focus area.

Main responsibilities
- Ability to map a business question to analytical context outlining the choice of methods and analytical subsets of data,
- Pre-processing of structured and unstructured data including cleansing and validating the quality and integrity of data in the analytical context,
- Enhancing data collection procedures to include all relevant information for developing analytic products. Ability to fuse multiple datasets in a given context,
- Implement appropriate statistical, machine learning and/or deep learning methods for appropriate business questions and relevant datasets,
- Develop and deploy data science products in the cloud or on-prem infrastructure,
- Communicate and collaborate with other parts of the company and ensure that best practices are used for designing and documenting solutions.

Required qualifications
- University degree in a quantitative discipline (e.g., but not limited to – Mathematics, Computer Science, Data Science, Natural Sciences, etc.) or equivalent work experience,
- Previous work experience in writing Ability to write high quality data science code in Python programming language. Proven track record and knowledge of best practices and standards in coding, familiarity with Python-based data processing and analysis libraries,
- Well versed with visualizing the insights in dashboards or similar solutions either off-the-shelf or Python-based frameworks,
- Significant experience in developing end-to-end Data Science software solutions,
- Experience with state-of-the-art data science and ML practices along with advanced knowledge of and experience with Python-based ML and DL libraries (particularly for ML) as well as version control (e.g., git and GitHub),
- Experience in developing scalable ML-based production systems in the cloud using multiple platforms such as Databricks and Azure,
- Familiarity and exposure to large language models and principles of generative AI,
- Fluent in English (written and verbal).

Meritorious competences
- Work experience with vehicle safety data and principles,
- Familiarity with ML-ops and cloud environments at Volvo Cars,
- Proven experience with Kubernetes and Docker,
- Knowledge of and interest in data engineering aspects and data pipelines
- Experience working with large scale text processing, classification and analysis methods.

Personal qualities
- Passion for data science and analysis,
- Structured way of working, and good documentation skills,
- A self-driven and result oriented team player,
- Willingness to learn and improve.

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 John Rose at john.rose@volvocars.com. 

Once your application is successfully submitted, you’ll receive a confirmation email. Applications are open until 26th of 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!

#LI-JR1