Job Description
What you’ll do:
Let’s face it; you’ll need to wear a few hats. But success requires a focus on execution, so this will be your focus:
Build meaningful, valuable products.
Modelling solar potential in a building and simulating the behaviour of energy networks is core to what we are building. We need you to be persistent and patient enough to tune accurate models to answer these needs.
These are not solved problems; you will work on novel solutions. But the data is available and ready for you to dive into. Some of the interesting data sets you will be working on:
- Geospacial data
- Satellite images
- Real time solar generation and customer demand
- Energy market financials
- UK energy supply and grid imbalance
Design flexible, resilient foundations.
This position offers a unique opportunity to work in a dynamic start-up environment where you can make a significant impact and take ownership of model development and analysis.
Work across our company.
As a small team, we can promise you rapid feedback for what you’re building. Our engineering team will help build resilient architecture for your models and our network will accelerate your data science career journey.
Our team has big ambitions, and your role will support the delivery of those.
Iterate, automate and improve
To deliver quickly, we make small bets and iterate. In everything we build we improve it on the next pass. And, in every task, we make our jobs faster and easier with each execution.
Who you are:
As a foundational hire on this team, you’ll have a massive impact on our culture and our deliveries. So, who you are is of utmost importance. It probably looks like this:
You deliver
We’re out to earn the trust of our future customers, and we’re doing that by demonstrating the real value in what we build. So, we all need to execute to completion.
You’ll be enthusiastic about solving problems and delivering value in any challenge.
You’re hungry, patient and persistent
You will have some experience working with Python and its data science libraries.
You can work with existing data and create new data sets through labelling and augmentation.
You have a proven track record and understanding of the process in training models, measuring their accuracy and iterating on improvements.
You can prioritise your own work, knowing what's important to deliver and execute on time.
We don't need energy experience, but it's obviously a plus if you've worked with energy or solar arrays before.
You learn and grow with the company
We don’t have the answers to everything we need right now, but only by doing will we learn them. That applies throughout the company.
You’ll be comfortable with what you do and don’t know; you’ll know how to ask for help and provide help in return. We’ll be supportive, and make sure you can be the best at what you do. We have access to a great network of data and engineering people and want to help you use that network to grow.
You communicate
As a remote-first company, much of our interaction is asynchronous. To fully deliver your ideas, passion and values you need to be an excellent communicator.
Know when to get into the technical details, and when to summarise. Know when to highlight the exceptions and when to champion the wins. Know how to tell the story in your work.
Benefits
Joining a start-up this early comes with both risk and reward.
To the right person, this opportunity will accelerate your career. You’ll collaborate with an experienced team of start-up builders and investors. Your high degree of autonomy and responsibility will give you a place to show how you get things done.
As one of the first to join the company, you’ll receive generous equity alongside your salary. Salaries will be reviewed at future fundraising, and that equity has a potentially life-changing upside.
We have a bold vision to go far. So, we’re not location specific and that translates to a flexible, remote or office working environment.
Most importantly to us, you’ll be working in a culture you help to build; one that treats others how you want to be treated.
Job Types: Full-time, Permanent
Salary: £40,000.00-£50,000.00 per year
Benefits:
Schedule:
- Monday to Friday
- No weekends
Work Location: Remote
Reference ID: BCRSPE01