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Energy Data Internship

Brandenburg, Germany (On-site)

Energy Data Internship

56 Minutes ago • Upto 1 Years • Manufacturing • Undisclosed

About the job

3 skills required for this role

Add these skills to join the top 1% applicants for this job

python

communication

forecasting-budgeting

Job Description

This internship at Tesla's Gigafactory Berlin-Brandenburg focuses on energy data analysis and forecasting. The intern will build a machine learning-based dashboard to predict electricity and gas usage, both short-term and long-term. This involves coordinating with various teams within the factory to gather data, understanding manufacturing processes' impact on energy consumption, and establishing data transfer protocols for automated data input (weather, etc.). The intern will also work on maintaining and improving this crucial decision-making tool. Advanced programming skills in Python or R are crucial, along with experience in managing and analyzing large energy datasets. Knowledge of electrical engineering and thermodynamics is beneficial.

Must have:

Proactive and fast-paced work style
Master's or Bachelor's degree in relevant field
Experience with large energy datasets
Advanced Python/R programming skills
Data integration & validation experience (SCADA)
Excellent communication skills

Good to have:

Basic knowledge of electrical engineering and thermodynamics

What to Expect

The Energy Team continuously monitors and manages the utility systems, ensuring they meet the process specifications for vehicle production. The team is also responsible for forecasting the factory’s Energy requirements, continuously designing and implementing strategies and improvements to ensure optimum energy performance of the factory, working on energy efficiency improvements.

As an intern, you will work with many interfaces within the energy team and have contact with various stakeholders within the factory. Your main task would be to establish a working dashboard which forecasts factory’s Energy usage. This dashboard will then be a major tool used by the team in making key decisions.

Start Date: February / March 2025

Duration: 6 months

Location: Gigafactory Berlin-Brandenburg

What You’ll Do

Understanding Manufacturing processes in the factory and its effect on Energy usage
Coordinating with Manufacturing Shops to gather information that affects Energy usage
Coordinating with the Technical Service to gather information that affects Energy usage
Build a working Machine learning model based dashboard for forecasting Electricity and Gas usage for short term and long term
Establish data transfer protocol to automize data infeed into the dashboard. For Eg – automatic input for outside weather condition, automizing
Communicating with other teams to understand the internal softwares used by Tesla
Identifying and establishing a workflow to keep the dashboard always updated/maintained

What You’ll Bring

Your working style is proactive, pragmatic and fast-paced
Master’s (preferred) or a bachelor’s degree in Energy Data Engineering or similar
Experience in managing and analyzing large Energy datasets and utility demand forecasting
Advanced programming skills in Python or R.
Basic knowledge of electrical engineering and thermodynamics is a plus.
Experience with data integration and validation techniques (SCADA).
Excellent communication skills.
Ability to work in a large, complex environment where you must adapt to meet company needs

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