Machine Learning Engineer

Scania is undergoing a transformation from being a leading supplier of trucks, buses, and engines towards providing profitable and sustainable transport solutions. Within the TRATON Group, together with our sister brands MAN, Volkswagen Truck & Bus, and International, we are working to shape the future of mobility with innovative and environmentally conscious solutions. 

Our values – customer first, respect, team spirit, responsibility, and elimination of waste – are at the heart of everything we do. Together, we are at the forefront of creating a sustainable future. 

This Is Us 

At the Commercial AI and Data Office at Scania Sales & Marketing, we have four missions; The first one is to provide a common Data and AI foundation for Scania from a commercial perspective, driving data standardization, navigating laws and regulations, setting best practices and way of working with our AI architectures and the Data Mesh. The second is to accelerate Data, Analytics and AI adoption across the Scania business by building and operating AI and Data solutions. The third mission is to drive the transformation of Scania into an AI and Data-driven company, giving expertise and hands-on support in generating business insights. Finally, we have a fourth mission, which is to structure, quality assure and automate our Master Data cross Scania, for optimized and aligned analytical utilization. 

Now, we are looking for a Machine Learning Engineer to join the Commercial AI and Analytics team.  

Please apply if you find this following mid-senior position interesting. 

A day in your life with us 

You’ll be a vital part of the transformation of Scania Retail into a more data-driven company by ensuring that data and insights become a natural part of the organizational workflow and impact present and future decisions on business and product strategy.

This means: 

• Generate actionable insights to help your stakeholders make better-informed decisions  
• Design, Prototype and Implement models; work with the Data Engineering team to deliver models to production. 
• Partner with teams to identify and explore opportunities for the application of machine learning and LLMs. 
• Influence across disciplines and teams to ensure we are making data-driven decisions and solving critical problems for our customers. 
• Communicate with technical and non-technical audiences and contribute as a team player. 
• Mentor others and stay current with advances in the industry. 
• Focus on customer/partner needs through a data driven approach. 

Qualifications 

We would love to talk with you if you recognize yourself in some of the following: 

• 3+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results. 
• Master’s in computer science, Statistics, physics, or a related field 
• Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments. 
• Strong understanding of MLops and possess hands-on experience in implementing MLops practices. 
• Excellent software design and development skills in Python  
• Experience in one or more of the following applied fields: Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models, LLM evaluation 
• Great interpersonal skills including strong written and verbal communication 

Your profile 

You are a team player who takes ownership, builds cross-functional relationships with senior peers and loves sharing knowledge with other Data scientists, - Scientists & - Engineers and coworkers across the globe. Understanding a business problem and applying advanced analytics to try and solve it is one of your passions. 

 
When approaching a problem you can be hypothesis-driven, and you love (data) storytelling and use visualization of data to explain facts. Furthermore, you proactively manage relevant stakeholders and/or teams to drive an intended outcome and on top of that, you are curious, self-directed and want to keep learning! 
  

What we offer 

We can offer you a dynamic workplace with varied and challenging work assignments in a hybrid working setup, which means that we work two days a week at the office. We can also offer other benefits such as free training at Scania's health center Gröndal or wellness allowance, performance bonus, occupational pension, flexible working hours, lunch at a reduced price, the opportunity for a staff car and much more. 
  

Further information 

For further information, please contact Farnaz Motamediyan, Head of Retail Analytics, farnaz.motamediyan@scania.com 

Application  

We are looking forward to receiving your application and please apply as soon as possible but no later than May 22, 2025. Applications might be handled throughout the whole application period. 

We are looking forward to hearing from you! 

Kindly note that a background check might be conducted for the position.