At a Glance
- Tasks: Build algorithms to optimise and trade DER fleets in wholesale markets.
- Company: Join Lunar Energy, a visionary team transforming home energy solutions.
- Benefits: Competitive salary, healthcare, training budget, and flexible work options.
- Other info: Fully remote work with a focus on inclusivity and diverse backgrounds.
- Why this job: Make a real impact on sustainable energy while growing your expertise.
- Qualifications: 5+ years in data science or related fields with strong quantitative skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
Qualifications
- 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.
- 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.
Benefits
- 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.
Staff Data Scientist employer: Lunar Energy
At Lunar Energy, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to make a meaningful impact in the sustainable energy sector. With competitive compensation, comprehensive healthcare benefits, and a strong focus on professional growth through training budgets and flexible work arrangements, we ensure that our Staff Data Scientists thrive both personally and professionally. Join us in our mission to revolutionise home energy while enjoying the perks of remote work and a supportive team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lunar Energy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Staff Data Scientist at Lunar Energy.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lunar Energy.
✨Apply Directly through Our Website
When you find a suitable opening like Staff Data Scientist at Lunar Energy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Staff Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lunar Energy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lunar Energy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lunar Energy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lunar Energy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
