At Lunar Energy, we're on a mission to transform the way we power our homes by building an ecosystem of all-electric products, starting with a next-generation home battery system and a cloud PaaS to manage large fleets of DER assets. Comprising a team of visionary entrepreneurs and dedicated technology and industry experts, we're united by our shared vision of deploying and building products to electrify homes that are connected through an integrated software platform.
We are looking for a Staff Data Scientist to join the software team in the UK.
Responsibilities:
- Building optimisation, forecasting and market participation algorithms to trade DER fleets in wholesale markets.
- Modelling DER physical behaviour to connect control with market participation.
- Operating large DER fleets in real time.
- Quantifying uncertainty in asset behaviour and financial risk across strategies.
Your key skills & experience:
- 5+ years' experience as a Quantitative Developer, Data Scientist, Risk Analyst, or in a related field.
- A good understanding of formal methods in quantitative finance.
- 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.
- Professional experience with machine learning algorithms.
- Extensive experience in one of Python, Julia, or OCaml, along with relevant libraries (e.g. pandas, TensorFlow, NumPyro).
- Extensive experience with SQL and proficiency working with large datasets.
- You love working in a smaller team where you can see the impact of your work.
- You are a first-principles thinker with intellectual curiosity, a love of learning, and an openness to changing your mind when given new information.
- You are autonomous and enjoy managing your own workload and deadlines.
Desirable skills:
- Professional experience with Bayesian modelling.
- Software architecture experience.
- Experience with the functional programming paradigm.
- Experience with TypeScript.
- Professional experience in the energy, trading, or commodities sector.
- Experience with Unix-like operating systems.
Joining us gives you:
- Competitive Compensation: Enjoy a competitive salary and stock options package.
- Healthcare Benefits: Access to a private Medical Insurance scheme through BUPA (medical history disregarded).
- Wellbeing Perks: A wellbeing and lifestyle benefits plan through Medicash.
- Financial Security: 5% employer contributions pension matching.
- Investment in Your Growth: A budget of £1,000 per financial year for work-related training and an allowance of 4 training days.
- Eco-Friendly Commuting: Participate in the Cycle To Work scheme and benefit from the Workplace Nursery benefit.
- Work Setup Support: Receive £200 upon joining for remote work setup.
- Mental Health Support: Access to Spill - a Mental Health Support platform.
- Family-Focused Benefits: Enhanced Maternity and Paternity Pay.
- Time Off: 25 days of annual holiday entitlement plus 8 Bank Holidays.
- Flexible Work Arrangements: Enjoy flexible start and finish times, with the option for fully remote working or a hybrid setup, depending on your preferences.
Duration: Full-time
Location: Fully remote work within GMT+/-2 time zones (conditions apply). You're also welcome to work from our office in Liverpool Street, London (UK), as frequently as you desire.
Inclusivity Matters: Lunar Energy is committed to being an equal opportunities employer, welcoming applications from individuals regardless of their race, gender, ethnicity, disability, religion/belief, sexual orientation, gender identity or expression, nationality, age, or social background. We actively encourage applications from underrepresented and minority groups, and we do not filter applications by university background, welcoming those who have taken alternative educational and career paths.
Join Lunar Energy and be a part of the future of sustainable home energy. Make an impact, grow your expertise, and contribute to a cleaner, more eco-conscious world. Apply now!
