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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 innovative solutions.
- Benefits: Flexible salary, great perks, and a culture that values your input and growth.
- 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 and machine learning.
- Other info: Dynamic team environment with opportunities for career advancement and personal development.
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.
Why else you’ll love it here
Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co‐owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024.
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 - Machine Learning in London employer: Octopus Energy
Contact Detail:
Octopus Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Octopus Energy. A friendly chat can open doors and give you insights that a job description just can't.
✨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 to solve real problems. We want to see your analytical mindset in action!
✨Tip Number 3
Show your passion for the energy sector and its challenges. Talk about how you can contribute to our mission of supporting customers and tackling issues like credit risk. We love candidates who align with our values!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always here to help if you have any questions along the way.
We think you need these skills to ace Data Analyst - Machine Learning in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you can use these tools to tackle real-world problems, so don’t hold back on showcasing your experience!
Tailor Your Application: Take a moment to customise your application for the Data Analyst role. Mention how your background aligns with our mission at Octopus Energy, especially in supporting customers facing challenges with their energy bills.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experiences and how they relate to the job. We appreciate direct communication, especially when it comes to complex data concepts!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Octopus Energy
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are crucial for the role. Brush up on your skills with the Python data science stack like pandas and sklearn, and be ready to discuss how you've used them in past projects.
✨Understand Machine Learning Basics
Since the role involves developing machine learning models, it’s essential to have a solid grasp of the basics. Be prepared to explain key concepts and perhaps even share examples of how you've applied machine learning in your previous work.
✨Show Empathy Towards Customers
Octopus Energy values an empathic approach towards vulnerable customers. Think of examples where you've demonstrated empathy in your work, especially in data-driven decision-making, and be ready to discuss how you can apply this mindset in the new role.
✨Communicate Complex Ideas Simply
You’ll need to communicate complex data concepts effectively to various stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than just the technical details.
