Staff Data Scientist

• Build optimisation, forecasting and market participation algorithms to trade DER fleets in wholesale markets.
• Model DER physical behaviour to connect control with market participation.
• Operate large DER fleets in real time.
• Quantify uncertainty in asset behaviour and financial risk across strategies.

This role directly contributes to the electrification of homes and the integration of renewable energy sources, reducing reliance on fossil fuels and combating climate change.

• 5+ years' experience as a Quantitative Developer, Data Scientist, Risk Analyst, or in a related field.
• A degree, MSc, or PhD in a quantitative field such as physics, mathematics, or statistics.
• Professional experience with forecasting, optimisation, signal processing, control, and decision-making algorithms.
• Extensive experience in Python, Julia, or OCaml, along with relevant libraries (e.g. pandas, TensorFlow, NumPyro).

• Competitive salary and stock options package.
• Private Medical Insurance via BUPA.
• Wellbeing and lifestyle benefits plan through Medicash.
• 5% employer pension matching.
• £1,000 annual training budget plus 4 training days.
• Cycle To Work scheme and Workplace Nursery benefit.
• £200 remote work setup allowance.
• Mental Health Support via Spill.
• Enhanced Maternity and Paternity Pay.
• 25 days annual leave plus 8 Bank Holidays.
• Flexible working hours and fully remote or hybrid options.

Lunar Energy is building an ecosystem of all-electric products to transform home energy, starting with a next-generation home battery system and a cloud PaaS to manage large fleets of distributed energy resources (DERs).