Data Scientist

Job Description

Want to be part of transforming road freight – for good? Einride is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals.

Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, 2019). In 2022, we were the first to successfully operate such a vehicle on a US public road. Today our award-winning technology has been launched across 8 countries (and counting). Our clients are some of the world’s biggest shippers, including Fortune 500 companies. We are also operating Sweden’s largest truck dedicated public charging network and counting.

Intro

As a Data Scientist on the Solution EMEA team at Einride, you will be both a builder and an analyst. You will play a key role in designing the analytical infrastructure that powers the team – automating manual workflows using AI as a native capability, creating internal tools that scale our work, and supporting data pipelines where needed At the same time, you will be hands-on in the analysis itself: generating insights from transport data and translating those insights into clear outputs that drive decisions.

You will:

• Identify and automate manual analytical workflows using AI as a native capability – turning repetitive, time-consuming processes into scalable internal solutions
• Generate insights from complex transport data (fleet performance, route optimisation, energy consumption, freight lane analysis) and translate them into clear, actionable outputs
• Design and maintain data pipelines to ingest, clean, and structure large-scale transport and logistics datasets, primarily using SQL and Python
• Build and maintain internal dashboards and automated reporting and analysis tools
• Collaborate closely with Business Analysts and Solution colleagues to identify high-value analytical challenges and build scalable solutions
• Stay current with advances in AI and analytics tooling – and actively integrate new approaches into the team’s ways of working

What we expect of you:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or similar
• 2+ years’ experience after graduation in a data science, analytics engineering, or quantitative analytics role
• Proficiency in Python (pandas, NumPy, etc.) and SQL are core requirements and key areas of interest – you think in code and are comfortable wrangling large, messy datasets
• Hands-on experience with cloud data platforms such as BigQuery, Snowflake, or similar
• Proficiency in data visualisation tools – Looker Studio in particular – and a strong instinct for turning data into clear, compelling visual stories
• Comfortable applying GenAI tools (Claude, GPT-4, Gemini, etc.) as native building blocks for automating analytical workflows and constructing internal tools
• Strong analytical mindset with the ability to translate complex data into clear insights that drive decisions
• Self-starter and team player: you take ownership of problems, work well with ambiguous real-world data, and communicate technical findings clearly to non-technical stakeholders
• Interest in transport, logistics, e-mobility, and sustainability – curiosity about the domain is a genuine advantage

This is a full-time position based in Stockholm or Gothenburg. You will be part of a truly diverse, high performing team with a common passion for sustainability and making things happen in an innovative way. We recommend that you submit your application as soon as possible since selection and interviews are held continually.

At Einride, we are innovators, building solutions the world has never seen before – but urgently needs. That’s why we take action, and it’s why we are always eager to be challenged. We know that our best innovations come from having a diverse mix of people, including those of different experiences, career paths, and walks of life. By coming together and sharing our perspectives openly – by disagreeing, discussing, and committing – we deliver greater impact.