At a Glance
- 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 discussions, great perks, and a supportive work culture.
- 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 personal and professional growth.
The predicted salary is between 28800 - 43200 ÂŁ 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 â 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 youâll 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 youâll 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 handsâon role.
What would be a bonus
- Data visualization tool (Tableau, Looker, PowerBI or equivalent).
- 2-5 years experience of consumer credit risk or collections in the financial services, utilities or telecommunications industries.
Why else youâll love it here
Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters itâs something we always cover as we genuinely want to match your experience with the correct salary. The reason why we donât advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesnât apply to Octopus â whatâs more important to us is finding the right octofit!
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 coâowners, 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 UKâs 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 weâd love to hear from you.
P.S. Our process usually takes up to 4 weeks, but weâll always do our best to flex around what works for you. Along the way, youâll 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 weâd 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 weâll 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, weâre 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.
Data Analyst - Machine Learning in London employer: Octopus Group
Contact Detail:
Octopus Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Analyst - Machine Learning in London
â¨Tip Number 1
Get your networking game on! Connect with people in the energy sector, especially those at Octopus Energy. Use LinkedIn to reach out and engage with current employees; they can give you insider tips and maybe even refer you!
â¨Tip Number 2
Prepare for those interviews like a pro! Research Octopus Energy's values and recent projects. Be ready to discuss how your skills in data analytics and machine learning can help tackle their challenges, especially around customer support.
â¨Tip Number 3
Show off your problem-solving skills! During interviews, share specific examples of how you've used data to drive decisions or improve processes. This will demonstrate your fit for the role and your understanding of their needs.
â¨Tip Number 4
Donât forget to follow up! After your interview, send a thank-you email to express your appreciation and reiterate your enthusiasm for the role. Itâs a great way to keep yourself top of mind for the hiring team.
We think you need these skills to ace Data Analyst - Machine Learning in London
Some tips for your application đŤĄ
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 donât hold back on showcasing your experience!
Be Data-Driven: Since data analytics is at the core of what we do, include examples of how you've used data to make decisions or solve problems. This will help us understand your analytical mindset and how you approach challenges.
Tailor Your Application: Take a moment to tailor your application to our job description. Mention your familiarity with machine learning and any relevant experience in consumer credit risk or collections. It shows us youâre genuinely interested in the role!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. Itâs the best way for us to keep track of your application and ensure you get the attention you deserve. Plus, itâs super easy!
How to prepare for a job interview at Octopus Group
â¨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, including pandas and sklearn, so you can confidently discuss how you've used them in past projects.
â¨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 data analytics skills can help address customer needs, especially for those struggling with payments.
â¨Showcase Your Problem-Solving Skills
Think of specific examples where you've used data to solve complex problems. Highlight any experience you have with machine learning models and how they can be applied to improve decision-making in credit risk.
â¨Communicate Effectively
Practice explaining complex data concepts in simple terms. Since you'll be working closely with various teams, being able to communicate your insights clearly will be key to building strong relationships across the organisation.