Data Scientist

× Oh oh! Awesome! Info! {$ msg.text $} ({$ msg.count $}) Data Scientist Multiple locations Hybrid I'm interested Multiple locations Hybrid 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. 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. This is a role for someone who is as comfortable in a business case spreadsheet as they are designing an agentic pipeline. You will Identify and automate manual analytical workflows using AI as a native capability – turning repetitive, time-consuming processes into scalable internal solutionsDesign and maintain data pipelines to ingest, clean, and structure large-scale transport and logistics datasets, primarily using SQL and PythonBuild and maintain internal dashboards and automated reporting and analysis tools Generate insights from complex transport data (fleet performance, route optimisation, energy consumption, freight lane analysis) and translate them into clear, actionable outputs Collaborate closely with Business Analysts, Solution colleagues, and broader stakeholders to solve data-oriented challenges and build solutions supporting our customer engagements.Collaborate closely with Business Analysts, Solution colleagues, and broader stakeholders to solve data-oriented challenges and build solutions supporting our customer engagements.Stay current with advances in AI and analytics tooling – and actively integrate new approaches into the team’s ways of working We expect you to: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or similarMinimum 2+ years’ experience after graduation in a data science, analytics engineering, or quantitative analytics roleProficiency in Python (pandas, NumPy, etc.) and SQL are core requirements – you are comfortable wrangling large, messy datasetsComfortable applying GenAI tools (Claude, Gemini, etc.) as native building blocks for automating analytical workflows and constructing internal toolsHands-on experience with cloud data platforms such as BigQuery, Snowflake, or similarProficiency in data visualisation tools – Looker Studio in particular – and a strong instinct for turning data into clear, compelling visual storiesStrong analytical mindset with the ability to translate complex data into clear insights that drive decisionsComfortable working in a commercial context: able to read a business situation, frame analysis around what a customer or stakeholder actually needs, and communicate findings...