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
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Develop and deploy models, machine learning algorithms, and statistical techniques to drive insights and recommendations
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Design and implement experiments to measure the effectiveness of EHS&S goals and identify areas for improvement
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Create data visualizations and reports to communicate complex insights to technical and non-technical stakeholders
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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
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Propose key recommendations to influence business leaders through strong reporting and analytical showcasing, presentation skills, and verbal and written communication
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Strong background in data science, data engineer, machine learning, statistics, and data analysis
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Degree in Computer Science, Mathematics, Statistics, or equivalent experience
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Open-minded, collaborative, and team-oriented attitude with the ability to think outside the box for solutions to complex challenges
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Ability to effectively communicate complex technical concepts and strategies to technical and non-technical audiences
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Strong organizational, planning, and project management skills to work independently and focused
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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
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Eagerness to learn about novel ways to make impact in the environmental, health, safety, and security domain; existing knowledge is a plus
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
