Data Scientist

Company Description

This role is available for both Remote and or Hybrid working in the United Kingdom

Hello, we're UW

We’re a bunch of great people working together, solving problems and having fun. Together, we strive to find solutions to help the great people around us get on with the things that really matter in life.

How? It’s simple, we take the headache out of essential home services by providing them all in one place – energy, broadband, mobile, and even insurance.  That’s one provider, one account, one bill, and lots of savings.

We’re a truly unique FTSE 250 company with a business model that has real social impact at the heart of it. Being a part of the UW community you’ll join a working environment like no other - one where everyone matters - be it our customers, our partners or you, our people.

About the role

Our mission with data is to create value and impact for Utility Warehouse through scaling AI and automation across our organisation. For example, we are exploring our ability to drive product growth through machine learning, understanding our customers’ needs and improving customer interactions with UW using natural language processing. We are also using machine learning models in our partners app to help equip our partners with the information they need to expand our customer base. Our exciting AI and machine learning journey is under way and we are looking for motivated individuals to join us.

What you'll do

We are looking for an experienced and inquisitive full-stack Data Scientist who feels comfortable working on a diverse range of projects. Our Data Scientists collaborate with domain experts and work with brilliant Data Engineers at every level of the organisation. We have a large range of diverse data with opportunities for insight at every corner. As the UK's only multiservice utility provider, we have a unique business model, which means that we face exciting challenges which require novel and creative solutions. Our Data Scientists at Utility Warehouse are expected to play a leading role and enjoy solving unique complex data challenges and business problems. We are developing a diverse team of talents who each bring their different strengths and approaches to our working community.

• Work on complex datasets across UW’s business segments to solve real world problems. For example:
  • Develop data science products such as predictive machine learning models to help with customer acquisition and retention, or NLP models on call transcription to identify customer issues
  • Investigate causal relationships to quantify how operational and commercial interventions affect the business with A/B testing
  • Optimise our pricing strategy and product journeys
• Create and deploy machine learning models from Proof-of-Concept to Production
• Mentor and help other data scientists grow their knowledge and skills
• Work with the leadership team and stakeholders to understand business problems and produce state-of-the-art data science solutions

About you

• A degree in Computer Science, Machine Learning, Applied Statistics, Mathematics or other STEM majors; Masters and PhD are nice to have
• 3+ years of experience in applying data science to business problems
• Programming experience in Python and SQL (or R/Julia) and a good understanding of software development principles
• Excellent communication skills, with the ability to explain complex analytical concepts to non-technical and business colleagues (e.g. explain how certain algorithms work, the associated cost and how to optimise them)
• Working experience with Version Control (Git, Github, GitLab) and Cloud (GCP, AWS, Azure) 
• Experience or knowledge in ML is helpful but not a prerequisite. If you are a solid software engineer, then we are happy to train you in the mysterious ways of ML

Don’t worry if you don’t have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please don’t hesitate to apply. Overall we are looking for imaginative and pragmatic problem-solvers who want to help make a positive impact with data at UW.

Whats in it for you

• Huge opportunities for exposure & development as we scale up.
• Competitive salary including share options
• 25 days holiday plus Bank Holidays
• Life Insurance up to 4 x your salary
• Discounted healthcare & medical cash plans
• A free virtual GP service
• Private pension scheme
• Share options and Save As You Earn Scheme
• A range of Health & Wellbeing benefits including a confidential Employee Assistance Programme, virtual fitness classes and wellness tools
• Discounted UW services (30% mobile & broadband, 10% energy & insurance)
• A UW cashback card - earning you cashback on all your spending!

Apply here!  

If you think this is the role for you and want to be part of UW’s extraordinary growth, apply now. 

Job Description

Additional Information

We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation.

Please note, if you are applying for a role which involves having access to personal data, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.