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Tesla
What To Expect As an intern in the Autobidder team, you’ll gain hands-on experience supporting Tesla’s algorithmic trading platform for battery storage assets in the National Electricity Market (NEM). You’ll work clos…
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About the role
As an intern in the Autobidder team, you’ll gain hands-on experience supporting Tesla’s algorithmic trading platform for battery storage assets in the National Electricity Market (NEM). You’ll work closely with experienced analysts and engineers, operating to real-world assets while learning how data, market dynamics, and automation drive sustainable energy innovation. This role is designed for recent graduates or individuals fully available to work 5 days per week in Sydney.
You'll support day-to-day trading operations, conduct evaluative research on forecast/algorithm improvements and contribute market and performance analysis of our operations. The successful applicant should be proficient in at least one coding language, preferably Python.
This internship offers a rare opportunity to be part of a mission-driven team shaping the future of renewable energy integration into the NEM. You’ll gain practical exposure to electricity market operations, and scalable analytics tools, while building a strong foundation in energy trading and data science. Whether you're exploring a career in energy, finance, or technology, this experience will equip you with tangible skills, a deeper understanding of market mechanics, and a network within a high-impact, fast-paced environment all while contributing to Tesla’s vision of accelerating the world’s transition to sustainable energy.
What You'll Do
Assist in monitoring Autobidder’s daily trading performance across in the NEM under senior mentorship. Collect, clean, and organize data from trading systems, internal data sources and market feeds using Python and SQL.Support the development of dashboards and reports in to visualize key performance metrics. Contribute to small-scale analytical projects, such as evaluating historical asset performance or testing new forecast features.
Help design and run batch experiments and simulations using internal tools, with clear guidance. Learn how electricity market rules, policy shifts, and regulatory changes impact battery storage monetization.Support the documentation of workflows and processes to enhance team efficiency and knowledge sharing. Participate in team discussions and help prepare materials for internal presentations and stakeholder updates.
What You'll Bring
Currently pursuing or recently completed a Bachelor’s or Master’s degree in Engineering, Economics, Finance, Statistics, Computer Science, or a related quantitative field.Genuine passion for the energy industry, particularly the role of battery storage and automation in advancing sustainable energy systems
Demonstrated experience using Python for data analysis including pandas, NumPy, and Jupyter Notebooks with a focus on writing clean, efficient, and reusable code.Proven ability to work independently and collaboratively in team settings
High level of motivation, curiosity, and initiative to learn quickly in a fast-paced environment
Excellent communication skills with a proactive mindset and comfort asking questions to deepen understanding
Must be available to work full-time, 5 days per week from our Sydney office
No prior experience in electricity trading required, but a strong desire to understand market dynamics and contribute meaningfully is essential
, Tesla
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