About this role
<p><span style="font-size:18.0px"><br><br></span></p><div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:24.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Let's introduce ourselves</b></H2> </div><div><p><span style="font-size:14.0pt"><span>The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross</span>‑<span>functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large</span>‑<span>scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine</span>‑<span>learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products. </span></span></p> <p> </p> <p><span style="font-size:14.0pt">Our culture focuses on learning, inclusion, and achieving success together! </span><span> </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:24.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>What you'll do</b></H2> </div><div><div> <p><span style="font-size:14.0pt"><span>As a data scientist, you will turn data into meaningful insights using analytics and machine learning techniques. You are comfortable working independently on innovative projects to require, amongst others, to design, train and evaluate models to analyze sensor signals and other engineering data. You will collaborate closely with other data scientists and data engineers across different disciplines. You’ll contribute by sharing your knowledge and learning from others as you help evolve our methods, tools, and best practices.</span> </span></p> <p> </p> <p><span style="font-size:14.0pt"><span>This role suits someone who enjoys building, exploring, and delivering high</span>‑<span>quality analysis that drives real impact.</span><span> </span></span></p> </div></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:24.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>What you'll bring</b></H2> </div><div><p><span style="font-size:14.0pt">You have a strong quantitative background, with a Master’s in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 3+ years of experience in a data science or similar role. You have experience in all stages of data science projects: framing questions, analyzing data, modeling, interpreting results, and communicating insights.</span></p> <p> </p> <p><span style="font-size:14.0pt">You may have experience in several of the following areas (you do not need to meet all of them): </span></p> <ul> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Experience with Python and aware of software and data engineering practices for production systems </span></li> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Familiar with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.) </span></li> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Experience building data pipelines on platforms such as Databricks or Snowflake </span></li> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Understanding and experience applying in statistical modeling, inference, time-series analysis, and machine learning algorithms </span></li> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Understanding of CI/CD principles, particularly for data or ML pipelines </span></li> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Experience with developing generative AI or LLM-based applications </span></li> </ul> <p> </p> <p><span style="font-size:14.0pt">Beneficial to have:</span></p> <ul> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Familiar with front-end development (e.g., Streamlit or React) </span></li> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Experience with cloud-environments ‑ (preferably Azure) </span></li> <li style="font-size:14.0pt"><span style="font-size:14.0pt">Automotive or mechatronic domain knowledge </span></li> </ul> <p> </p> <p><span style="font-size:14.0pt">We value how you collaborate as much as your technical skills. You should approach problems with curiosity and creativity as well as communicate clearly with both technical and non‑technical colleagues. You would take ownership and follow through as well as open discussions and multidisciplinary teamwork.</span></p></div></div></div><p><span style="font-size:18.0pt"><strong>Volvo Cars. For Life.</strong></span><br><span style="font-size:18.0px">For nearly a century, Volvo Cars has empowered people to move freely in a personal, sustainable and safe way. Today, we are driving bold advancements in electrification, sustainability and automotive safety. To realise our ambitious vision, we are seeking innovative minds who are ready to tackle the challenges of tomorrow – today.</span><br><br><span style="font-size:18.0px">In our company, we believe extraordinary things are achieved by ordinary people with the drive to make a difference.</span><br><br><strong><span style="font-size:18.0pt">Ready to take the next step?</span><br></strong><span style="font-size:18.0px">Submit your CV in English and tell us why you’re the ideal candidate for a new role at Volvo Cars. Applications must be received no later than July 31st, 2026. We are prioritising direct applications to ensure a fair and efficient application process.<br></span><br><span style="font-size:18.0px">As part of the recruitment process, the final candidates might undergo a background check.</span><br><br><span style="font-size:14.0pt">We welcome your application!</span></p>