At a Glance
- Tasks: Design and deploy machine learning models to drive customer insights and business decisions.
- Company: Utility Warehouse, a fast-growing company delivering energy, broadband, mobile, and insurance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a rapidly expanding company with exciting career prospects.
- Why this job: Join a dynamic team and make a real impact on customer behaviour and business strategy.
- Qualifications: Experience in data science and machine learning, with strong analytical skills.
The predicted salary is between 50000 - 70000 € per year.
Why Here? Utility Warehouse delivers energy, broadband, mobile and insurance on one bill. Customers save time and money as the company aims to double in size. The Data team applies advanced data science and machine learning. They uncover customer behaviour drivers and build critical models like Customer Lifetime Value.
What Will You Do? As a Data Scientist at Utility Warehouse, you will design and deploy ML models for Churn Propensity and Next Best Action engines. You will develop Customer Segmentation with clustering techniques and own xLTV plus ROI modelling for decisions. Additionally, you will productionise models with engineers and analyse A/B tests for uplift.
Posted 1 day ago London, United Kingdom Utility Warehouse Data Scientist employer: Experimentation Jobs
Utility Warehouse is an exceptional employer that fosters a collaborative and innovative work culture, where data-driven insights are at the forefront of decision-making. Located in London, employees benefit from a vibrant city atmosphere while enjoying opportunities for professional growth through hands-on experience with advanced machine learning techniques. With a commitment to employee development and a focus on impactful projects, Utility Warehouse offers a rewarding environment for those looking to make a difference in the energy and telecommunications sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Posted 1 day ago London, United Kingdom Utility Warehouse Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Utility Warehouse on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and customer behaviour analysis. This will help us see how you can contribute to the team.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML models and A/B testing knowledge. We want to see how you think and solve problems, so be prepared to discuss your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Posted 1 day ago London, United Kingdom Utility Warehouse Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Utility Warehouse. Highlight your experience with machine learning models and data analysis, as these are key to what we’re looking for.
Showcase Your Skills:Don’t just list your skills; show us how you’ve used them in real projects. Whether it’s customer segmentation or A/B testing, give us examples that demonstrate your expertise in data science.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re excited about the role and how your background aligns with our mission at Utility Warehouse. Keep it engaging and personal.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Experimentation Jobs
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning concepts. Be ready to discuss specific models you've worked with, especially around churn propensity and customer segmentation. Utility Warehouse is looking for someone who can hit the ground running, so show them you know your stuff!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled real-world problems using data. Think of examples where you've designed and deployed ML models or analysed A/B tests. Utility Warehouse values practical experience, so highlight your ability to turn data into actionable insights.
✨Understand Their Business Model
Familiarise yourself with Utility Warehouse's services and how they integrate energy, broadband, mobile, and insurance. Understanding their business model will help you tailor your answers and demonstrate how your skills can directly benefit their goals, especially in doubling their size.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of your interview. This could be about their data strategy, team dynamics, or future projects. It shows you're genuinely interested in the role and helps you assess if it's the right fit for you too!
