Data Scientist Internship - #56993

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