What To Expect
Start Date: September 2026
Location: Amsterdam
Duration: 6 Months
Length: Fulltime (40h a week)
Please note: In order to be considered, you must be enrolled in education for the full duration of the internship.
As a data scientist in this position, you will drive business impact by developing and deploying advanced analytics and machine learning solutions to support Tesla's Environmental, Health, Safety, and Security (EHS&S) goals. You will collaborate closely with EHS&S specialists, operations teams, IT applications, and business intelligence teams to uncover insights and drive data-driven decision-making across global business units.
What You'll Do
- Collaborate with stakeholders to frame and solve business challenges, identify key opportunities, and develop data-driven solutions to drive EHS&S outcomes
- Develop and deploy models, machine learning algorithms, and statistical techniques to drive insights and recommendations
- Design and implement experiments to measure the effectiveness of EHS&S goals and identify areas for improvement
- Create data visualizations and reports to communicate complex insights to technical and non-technical stakeholders
- Stay up-to-date with emerging trends and technologies in data science, and explore new tools and frameworks to keep our analytics capabilities cutting-edge
- Propose key recommendations to influence business leaders through strong reporting and analytical showcasing, presentation skills, and verbal and written communication
What You'll Bring
- Strong background in data science, data engineer, machine learning, statistics, and data analysis
- Degree in Computer Science, Mathematics, Statistics, or equivalent experience
- Open-minded, collaborative, and team-oriented attitude with the ability to think outside the box for solutions to complex challenges
- Ability to effectively communicate complex technical concepts and strategies to technical and non-technical audiences
- Strong organizational, planning, and project management skills to work independently and focused
- Knowledgeable in Python, R, SQL, machine learning libraries (e.g. scikit-learn, TensorFlow), and data visualization tools (e.g. Tableau, Power BI); experience with deep learning, natural language processing
- Eagerness to learn about novel ways to make impact in the environmental, health, safety, and security domain; existing knowledge is a plus
, Tesla