Twelve

Details

Positions: Data Science Intern, Innovation
Location: Berkeley, CA
Innovation Area: Materials and Chemicals; Environment and Health; Software and Data Analytics
Position Type: TomKat Center-supported
Compensation: $8,500
Internship Term: 8 weeks

Apply Here

Twelve is pioneering a new industrial era with carbon transformation. We use electrochemistry to turn CO2 into critical products—fuels, chemicals, and materials—that today rely on fossil fuels. Our mission: to fundamentally change how the world makes its essential goods by transforming CO2 from a liability into a resource, building resilient, fossil-free supply chains, and advancing next-generation industry.

Responsibilities

You will work closely with a mentor on the Innovation team to build tools and insights that accelerate our development cycle for our subscale CO2 electrolyzer. You will:

Design and deploy Python-based tools and collaborative notebooks for data visualization to streamline the analysis for specific research problems.
Analyze electrochemical data across diverse material systems to generate or test hypotheses by integrating inputs from a cross-functional team.
Communicate progress and data insights through regular informal check-ins and technical presentations to the Innovation team.

Who Should Apply

We are looking for a curious, self-driven undergraduate student who is passionate about climate tech and thrives in a fast-paced "build-test-learn" environment. This role is ideal for someone who is not only interested in data but also wants to understand the underlying physics and chemistry that the data represents.

Required Expertise

Proficiency in Python (specifically libraries like Pandas, NumPy, and Plotly)
Familiarity with statistical methods and experience handling time-series data
Exposure to chemistry and electrochemistry principles through coursework and/or projects
Exposure to generative AI tools for expediting and refining code development.

Preferred Skills/Majors