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- Tasks: Analyse data to support customers struggling with payments and develop machine learning models.
- Company: Join Octopus Energy, a leader in renewable energy and customer support.
- Benefits: Flexible salary, great perks, and a culture that values your input.
- Why this job: Make a real impact in the energy sector while working with cutting-edge technology.
- Qualifications: Strong SQL and Python skills, plus experience in data analytics.
- Other info: Dynamic team environment with opportunities for growth and innovation.
The predicted salary is between 28800 - 48000 £ per year.
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 is 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.
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.
Data Analyst - Python/ML employer: Octopus Energy
Contact Detail:
Octopus Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Python/ML
✨Tip Number 1
Get your networking game on! Reach out to current employees at Octopus Energy on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to showcase how you've used data analytics to solve real problems in past roles. We love seeing practical examples!
✨Tip Number 3
Show your passion for the energy sector! Research Octopus Energy’s initiatives and be prepared to discuss how you can contribute to their mission of decarbonising the planet. It’ll show you’re genuinely interested.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re keen on joining the Octopus family!
We think you need these skills to ace Data Analyst - Python/ML
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your SQL and Python skills, and any experience with machine learning. We want to see how your background fits with our mission at Octopus Energy!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've used data to solve real-world problems. We love candidates who can demonstrate their analytical thinking and creativity in tackling challenges, especially in the energy sector.
Communicate Clearly: When writing your application, keep it clear and concise. Use straightforward language to explain complex data concepts. We appreciate candidates who can communicate effectively, as this is key to building relationships across teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the info you need about the role and our company culture there!
How to prepare for a job interview at Octopus Energy
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your data analytics skills and be ready to discuss specific projects where you've used these tools to solve real problems.
✨Understand the Business Context
Familiarise yourself with Octopus Energy's mission and the current challenges in the energy sector. Be prepared to discuss how your analytical skills can help address customer payment struggles and contribute to the company's goals.
✨Showcase Your Empathy
Since the role involves working with vulnerable customers, think of examples where you've demonstrated empathy in your previous roles. Highlight how you can use data to create strategies that support these customers effectively.
✨Prepare for Technical Questions
Expect questions about machine learning concepts and your experience with data visualisation tools. Be ready to explain complex data concepts in simple terms, as communication is key in this role.
