Energy Data Internship

7 Months ago • Upto 1 Years

Manufacturing

Job Description

This internship at Tesla's Gigafactory Berlin-Brandenburg focuses on energy data analysis and forecasting. The intern will be responsible for creating a machine learning-based dashboard to predict electricity and gas usage, both short-term and long-term. This involves gathering data from various manufacturing shops and technical services, understanding manufacturing processes' energy impact, and establishing data transfer protocols for automated updates. The intern will also work with various internal software and coordinate with multiple teams. The successful candidate needs strong Python/R programming skills, experience in energy data analysis, and excellent communication abilities.

Good To Have:

Basic electrical engineering/thermodynamics knowledge
Experience with SCADA data integration

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
Excellent communication skills

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

python

communication

forecasting-budgeting

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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