Bulb is a technology-led renewable energy company. Bulb is making energy simpler, cheaper, and greener for its members.
Our Data Science group is responsible for the full lifetime of our data products; from sourcing data, analysis and reporting, training and deploying Machine Learning models; there are huge opportunities to apply Data Science right across Bulb. You can read more about how we do data science at bulb here.
Here are some of the things we think will be valuable, but we’re also open-minded. If you recognise in yourself any of these traits and you are passionate about the technologies mentioned then we’d love for you to send us an application.
Masters degree/PhD or equivalent experience in a quantitative field such as Statistics, Computer Science, Applied Sciences or Operational Research
2+ years of experience applying Machine Learning to real-world problems with impactful outcomes.
Comfortable coding in Python / SQL
Experienced with cloud infrastructure (GCP, AWS, Azure)
Comfortable with questioning prescribed thinking
Exceptional communication skills, able to communicate complex ideas in a simple fashion
Be part of a growing technology startup and help shape the future of energy
collaborative, flexible, and friendly environment
competitive salary, share options, and bonus
33 days holiday a year (including bank holidays) and the option to buy up to 5 more
12 weeks of full pay for maternity, paternity, or adoption leave
healthcare, life insurance, and a pension plan with employer contributions
Childcare voucher scheme
Cycle to work scheme
We’re building a diverse, inclusive team
you’re welcome at Bulb wherever you’re from and whoever you are. We want to shake up the energy industry, and a diverse team that reflects our members will help us do just that. We know that sometimes, people don’t apply for a job because they don’t have every single skill listed in the job’s requirements. But there’s more to every role – and everyone at Bulb – than we can fit in a job description. So if you’re interested in a role here and believe you could be a good fit, we encourage you to apply. Even if you’re not ready now, if you’re invited to interview with us you’ll get feedback on the skills you should grow to become a candidate in the future. We’ve written more about building a diverse team on the Bulb blog.