Data Analyst - Machine Learning

This could not be a better time to join Octopus Energy. We are already recognised as a global leader in the fight to decarbonise the planet by revolutionising what’s possible in energy - including investments in renewable energy supply, renewable energy generation, smart energy networks, EVs, heat pumps, etc. The government's new green initiatives and the recent investment by Al Gore’s Generation Fund will propel us further and faster. There has never been a more important moment to join our credit risk team. The energy sector is going through a period of once-in-a-generation volatility. Businesses and households are facing higher energy prices than they ever have before. For these reasons we are looking to add to our credit risk team with this new role. This team sits at the heart of everything we do to support customers that are struggling with their bills.

We’re unique because we are genuinely a hybrid of a few different skills and mindsets:

• Data analytics is our core skillset. Everyone in the team is very strong in this area.
• We have a firm understanding of the needs of our customers and the business.
• We work closely with the tech team, because we’re a tech company, so this how we solve customer problems, efficiently at scale.
• We work closely with our operations teams who are the people that speak directly to customers.

What you’ll do:

• Take ownership of our management of customers who are struggling with their payments.
• Deep dive investigations into data in order to surface insight for decision making.
• Develop our empathic approaches towards vulnerable customers.
• Create strategies to identify and prevent first party and third party fraud.
• Develop and own our machine learning models & policies that drive sophisticated decisions.
• Proactively identify new areas of opportunity.
• Challenge the status quo in terms of KPIs, objectives & strategy.
• Communicate complex data concepts effectively and confidently.
• Build great relationships with Technology, Finance, Collections, Ops and other stakeholders.

What you’ll need:

• Excellent SQL skills.
• Excellent Python skills.
• Familiarity with version control systems (e.g. git).
• A drive to solve problems using data.
• Understanding the basics of machine learning and statistics.
• Python data science stack (pandas, sklearn, numpy etc).
• 2+ years of experience in a hands-on role.

What would be a bonus:

• Data visualization tool (Tableau, Looker, PowerBI or equivalent).
• dbt.
• 2-5 years experience of consumer credit risk or collections in the financial services, utilities or telecommunications industries.

If this sounds like you then we’d love to hear from you.

Our process usually takes up to 4 weeks, but we’ll always do our best to flex around what works for you. Along the way, you’ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at talent@octoenergy.com and we’d love to help!

Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we’ll do what we can to customise your interview process for comfort and maximum magic!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we’re looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success.

As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.