Data Scientist - Automotive

SwedenCompetitive0 applicants

About this role

We are looking for a Data Scientist for a global automotive company in Gothenburg.

Start is in May 2026, 24-month limited contract to begin with., possibility of extension after that.

The Vehicle Propulsion and Energy Data Analytics team analyzes data related to high voltage batteries, vehicle charging, and electric drive to gain insight into how our products work and ensure the customer experience gets better every day. Your contribution will focus specifically on high voltage batteries, improving the quality of our cars by bringing better and faster feedback to our developers and product designers.

We are a tight-knit group with a friendly and enthusiastic team spirit . We have many clear, concrete, and inspiring opportunities within our team and organization to apply your data science skills.

What You’ll Do

You will perform statistical analyses of fleet data to help stakeholders gain better insight into vehicle behavior. You will use machine learning and statistics to make predictive models for vehicle systems, and visualization techniques to present complex results to stakeholders in a clear and understandable way.

You will also write code in Python, review and give feedback on your colleagues’ code, construct dashboards, and enable automated, continuous feedback on software and hardware quality.

Who are You?

We love what we do, and we think it’s important that you do too. You should be eager to learn and develop your knowledge and skillset, and support others with their personal and professional growth as well. You must be open to ideas from others, even when they may be less experienced than you – we value both ambition and humility!

Key Competencies

Exploratory and confirmatory data analysis

Pyspark, SQL, and ETL pipelines

Visualization tools (specifically matplotlib and seaborn)

Ability to write clean, readable code in Python that follows best practices

Scientific computing libraries (e.g. numpy, scipy, pandas, polars)

Basic proficiency with git

C

Responsibilities

  • Exploratory and confirmatory data analysis
  • Pyspark, SQL, and ETL pipelines
  • Visualization tools (specifically matplotlib and seaborn)
  • Ability to write clean, readable code in Python that follows best practices

Requirements

  • Scientific computing libraries (e.g. numpy, scipy, pandas, polars)
  • Basic proficiency with git
  • C

EU Requirements

Job Details

Posted10 May 2026
Closes9 June 2026

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