<p>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.<br></p><p>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.</p><p>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, a meaningful portion of your time will be spent hands-on on customer engagements — analysing freight networks, sizing electrification opportunities, and designing solutions that land in front of logistics directors and fleet managers.</p><p>This is a role for someone who is as comfortable in a business case spreadsheet as they are designing an agentic pipeline.</p><p></p><h3>You will</h3><ul><li>Identify and automate manual analytical workflows using AI as a native capability – turning repetitive, time-consuming processes into scalable internal solutions</li><li>Design and maintain data pipelines to ingest, clean, and structure large-scale transport and logistics datasets, primarily using SQL and Python</li><li>Build and maintain internal dashboards and automated reporting and analysis tools </li><li>Generate insights from complex transport data (fleet performance, route optimisation, energy consumption, freight lane analysis) and translate them into clear, actionable outputs </li><li>Collaborate closely with Business Analysts, Solution colleagues, and broader stakeholders to solve data-oriented challenges and build solutions supporting our customer engagements.</li><li>Collaborate closely with Business Analysts, Solution colleagues, and broader stakeholders to solve data-oriented challenges and build solutions supporting our customer engagements.</li><li>Stay current with advances in AI and analytics tooling – and actively integrate new approaches into the team’s ways of working</li></ul><h3>We expect you to:</h3><ul><li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or similar</li><li>Minimum 2+ years’ experience after graduation in a data science, analytics engineering, or quantitative analytics role</li><li>Proficiency in Python (pandas, NumPy, etc.) and SQL are core requirements – you are comfortable wrangling large, messy datasets</li><li>Comfortable applying GenAI tools (Claude, Gemini, etc.) as native building blocks for automating analytical workflows and constructing internal tools</li><li>Hands-on experience with cloud data platforms such as BigQuery, Snowflake, or similar</li><li>Proficiency in data visualisation tools – Looker Studio in particular – and a strong instinct for turning data into clear, compelling visual stories</li><li>Strong analytical mindset with the ability to translate complex data into clear insights that drive decisions</li><li>Comfortable working in a commercial context: able to read a business situation, frame analysis around what a customer or stakeholder actually needs, and communicate findings without hiding behind the data</li><li>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</li><li>Interest in transport, logistics, e-mobility, and sustainability – curiosity about the domain is a genuine advantage</li></ul><p>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.</p><p>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.<br></p> 

<p>Part commercial enterprise, part revolutionary movement, Einride is bent on a complete transformation of the transportation industry. By challenging conventional thinking, by utilizing big data and cutting-edge technology &mdash; and by inspiring people to take responsibility for the planet and each other &mdash; Einride is making the movement of goods more intelligent: emission-free, safe, cost-effective, and ultimately, sustainable.</p>

Data Scientist

<p>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.<br /></p><p>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.</p><p>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, a meaningful portion of your time will be spent hands-on on customer engagements — analysing freight networks, sizing electrification opportunities, and designing solutions that land in front of logistics directors and fleet managers.</p><p>This is a role for someone who is as comfortable in a business case spreadsheet as they are designing an agentic pipeline.</p><p></p><h3>You will</h3><ul><li>Identify and automate manual analytical workflows using AI as a native capability – turning repetitive, time-consuming processes into scalable internal solutions</li><li>Design and maintain data pipelines to ingest, clean, and structure large-scale transport and logistics datasets, primarily using SQL and Python</li><li>Build and maintain internal dashboards and automated reporting and analysis tools </li><li>Generate insights from complex transport data (fleet performance, route optimisation, energy consumption, freight lane analysis) and translate them into clear, actionable outputs </li><li>Collaborate closely with Business Analysts, Solution colleagues, and broader stakeholders to solve data-oriented challenges and build solutions supporting our customer engagements.</li><li>Collaborate closely with Business Analysts, Solution colleagues, and broader stakeholders to solve data-oriented challenges and build solutions supporting our customer engagements.</li><li>Stay current with advances in AI and analytics tooling – and actively integrate new approaches into the team’s ways of working</li></ul><h3>We expect you to:</h3><ul><li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or similar</li><li>Minimum 2+ years’ experience after graduation in a data science, analytics engineering, or quantitative analytics role</li><li>Proficiency in Python (pandas, NumPy, etc.) and SQL are core requirements – you are comfortable wrangling large, messy datasets</li><li>Comfortable applying GenAI tools (Claude, Gemini, etc.) as native building blocks for automating analytical workflows and constructing internal tools</li><li>Hands-on experience with cloud data platforms such as BigQuery, Snowflake, or similar</li><li>Proficiency in data visualisation tools – Looker Studio in particular – and a strong instinct for turning data into clear, compelling visual stories</li><li>Strong analytical mindset with the ability to translate complex data into clear insights that drive decisions</li><li>Comfortable working in a commercial context: able to read a business situation, frame analysis around what a customer or stakeholder actually needs, and communicate findings without hiding behind the data</li><li>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</li><li>Interest in transport, logistics, e-mobility, and sustainability – curiosity about the domain is a genuine advantage</li></ul><p>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.</p><p>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.<br /></p> 

Data Scientist

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Einride

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