At Modo Energy, we're on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero. Take a look at our platform, where we provide open access to an array of content on the energy transition.

We're a dedicated and passionate team building a category-defining business, working on one of the world's most important priorities. We are looking for individuals who love product-building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team.

The Role

The Data Scientist role is part of our forecasting team and reports to the Director of Forecasts. The forecasts team's primary objective is to deliver Modo Energy's power market forecasts to our users as we build trustworthy revenue projections across multiple geographies and asset classes. These tools are used by organizations across the industry to finance, build, benchmark, and operate the infrastructure assets that will power the energy transition.

You will work closely with the power market analysts in the team to build and maintain the underlying modelling infrastructure that powers our view on the future.

Responsibilities

• Developing our in-house suite of power market and dispatch models to grow and enhance Modo's product offering.
• Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team.
• Working with our development team to ensure the outputs of our models are easily accessible through the Modo Energy Terminal.

• A bachelor's degree or higher in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline.
• Strong quantitative skills with a demonstrated ability to analyze complex data sets a proven track record of solving complex technical problems.
• Proven ability to produce qualitative deliverables that are directly delivered to external customers, with a track record of handling high-visibility, customer-facing outputs.
• 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.)
• Hands-on experience with cloud environments (e.g., AWS) and linear programming optimization frameworks.
• Previous experience modelling power systems and/or energy assets, particularly in relation to optimization models, power price forecasting, locational dynamics and real-time operations.
• Strong project management skills, with the ability to manage multiple projects and collaborate with cross-functional teams.

• We are an in-person company that values collaboration and team culture. Everyone works in the office Tuesday through Thursday, with flexibility to work from home or the office on Mondays and Fridays.
• Modo Energy offers a competitive salary along with a comprehensive benefits package, including private top-tier healthcare and dental coverage with Bupa, a pension scheme with employer contribution, 25 days of annual leave (excluding bank holidays) and 5 flexible days to be taken on a Monday or Friday.
• Please note that we are only able to consider candidates who already have the legal right to work in the UK, as we are currently unable to offer visa sponsorship.