Energy Data Internship

5 Months ago • Upto 1 Years

Job Summary

Job Description

This internship at Tesla's Gigafactory Berlin-Brandenburg focuses on energy data analysis and forecasting. Responsibilities include understanding manufacturing processes' impact on energy usage, coordinating with various teams to gather data, building a machine learning model-based dashboard for predicting electricity and gas consumption (short-term and long-term), establishing automated data input protocols, and maintaining the dashboard's accuracy. The intern will work closely with the energy team, interacting with various stakeholders within the factory to optimize energy performance. This role requires advanced programming skills (Python or R), experience with large energy datasets, and excellent communication skills.

Must have:

Master's or Bachelor's degree in relevant field
Advanced Python/R programming skills
Experience with large energy datasets
Data analysis & forecasting skills
Excellent communication skills

Good to have:

Basic electrical engineering/thermodynamics knowledge
Experience with SCADA data integration
Machine learning modeling experience

4 skills required

4 skills required for this role

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

communication

forecasting-budgeting

python

machine-learning

Job Details

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