This position is within one of TRATON’s companies.

Senior Data Scientist

Senior Data Scientist – TRATON Financial Services

 

At TRATON Financial Services (TFS) we have started the journey to provide Financial Services to all brands within the TRATON Group, making sustainable transportation a reality. Our services include financing for customers, dealers, and distributors as well as insurance solutions. With a presence in over 65 markets, we are already one of the most global actors in the financial services industry and our portfolio is rapidly growing. Do you want to be part of this exciting journey?

 

 

Role Summary

 

TFS Analytics serves as the headquarter function for data, analytics and AI across the Group. We provide data as a utility to the organization, offer insight and analytic services through self-service and governed data platforms,and drive business value via scalable data products, AI, and automation.

 

We are now looking for a Senior Data Scientist to join our growing AI and analytics function. In this role, you will take a leading position in designing, building and scaling advanced AI solutions, from predictive models to GenAI-powered applications and agentic AI systems.

 

This is a hands-on role for someone who combines deep technical expertise with the ability to translate complex data into real business impact and who thrives in shaping the future of AI within financial services.

 

While our head office is located in Södertälje, this role will primarily be based at our new office in Östermalm, opening in April. The position requires flexibility to work from Södertälje on a regular basis to ensure close collaboration with key stakeholders.

 

Job Responsibilities

 

  • Design, develop, and deploy predictive, prescriptive and generative AI models to solve complex business problems
  • Lead the exploration and implementation of LLM-based solutions, such as GenAI assistants, document intelligence systems and agentic AI workflows
  • Integrate AI models and intelligent agents into business applications and digital platforms at scale
  • Drive development of reusable frameworks for MLOps, LLMOps and continuous model improvement
  • Collaborate closely with data engineers to ensure scalable data pipelines and robust production environments
  • Partner with business stakeholders and domain experts to identify high-impact use cases and translate them into data products
  • Ensure responsible AI practices, with focus on accuracy, explainability and fairness
  • Contribute to the AI roadmap and actively shape how emerging technologies are leveraged across TFS
  • Act as a senior contributor in the team, supporting best practices, knowledge sharing and technical direction

 

 

Who You Are

 

  • You have 5+ years of experience working as a Data Scientist, with a strong focus on machine learning and advanced analytics
  • You hold an MSc (or equivalent) in Computer Science, Data Science, AI/ML, or a related field
  • You are highly proficient in Python and SQL, and experienced with modern machine learning frameworks
  • You have hands-on experience working with Generative AI and LLMs (e.g., OpenAI, Bedrock, Claude, Gemini or open-source models)
  • You bring experience or strong understanding of Agentic AI and building autonomous or semi-autonomous AI systems
  • You are familiar with MLOps/LLMOps, CI/CD pipelines and deploying models in cloud environments
  • You have a solid foundation in data engineering concepts, feature engineering and model lifecycle management
  • Experience with platforms such as Snowflake, dbt or similar is considered a strong advantage
  • Exposure to financial services, risk modeling or customer analytics is a plus

 

On a personal level, you are:

 

  • A strong problem-solver with a business-oriented mindset
  • Comfortable navigating ambiguity and driving initiatives end-to-end
  • An excellent communicator who can translate complex concepts into clear insights
  • Collaborative, curious, and motivated by creating real impact through data

 

This Is Us

 

You will be part of TFS Analytics, a central function with a global mandate to shape how data, analytics and AI drive smarter and more sustainable financial and operational decisions across the TRATON Group.

 

You will collaborate closely with headquarter stakeholders and business units worldwide, working in a modern data environment with a strong focus on innovation, scalability and real business value.

 

 

TRATON Financial Services Offers

 

We offer a dynamic, flexible workplace with hybrid work options, including Scania Sergel and Midway hubs. With a structured development plan and courses, TFS supports your career growth both locally and internationally.



Benefits include amongst other training at our health center Gröndal or wellness allowance, an attractive company profit sharing program, flexible hours and work places, and company car leasing. The group also hosts events for employees and their families, and Stockholm residents enjoy direct access to Södertälje via Scania Job express buses.

 

 

Application

 

Your application should include a CV. Important: Upload your CV in English. Please note that we are not able to process any applications sent by email, due to GDPR regulations.  We welcome all applicants and strive for diversity in our recruitment processes.

 

Apply as soon as possible, no later than 2025-02-05. Screening will take place on an ongoing basis during the application period. Logical and personality tests may be used as part of the selection process, and a background check may be required for this role. 

 

If you have questions or would like more information about the position, please contact: Bei Qiu, Head of Data Analytics and AI, bei.qiu@tratonfs.com. If you have questions about the recruitment process, please contact: Hannah Lagerstedt, Talent Acquisition Specialist, hannah.lagerstedt@scania.com.


We look forward to your application!

 #TFS

This recruitment process is handled by Scania for TRATON Financial Services

Requisition ID:  26614
Number of Openings:  1.0
Part-time / Full-time:  Full-time
Permanent / Temporary:  Permanent
Country/Region:  SE
Location(s): 

Södertälje, SE, 151 36

Required Travel:  0-25%
Workplace:  Hybrid