Data Scientist

Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you.

The challenge for our customers and Partners, UW just needs to work – there when you need it, and invisible when you don’t. Just like flicking a switch. Our proposition to customers is simple, but for our technology teams, the behind-the-scenes complexity is what makes it so interesting.

Are you a driven and curious Data Scientist eager to tackle high-impact business challenges? Join UW's Data team and build predictive engines that directly drive customer strategy. We deliver progress.

What you’ll do and how you will make an impact:

• Develop the "brain" of our customer interactions through Next Best Action (NBA), Customer Segmentation, and Churn Propensity models.
• Own xLTV and ROI modelling to guide profitable decision-making, working closely with product and engineering teams to operationalise these insights.
• Design and deploy robust ML models to solve business challenges, specifically Churn Propensity and Next Best Action (NBA) engines.
• Develop advanced Customer Segmentation using clustering techniques to tailor services and communications.
• Own xLTV and ROI logic, modeling long-term customer value to optimize acquisition and retention spend.
• Collaborate with Data Engineers to productionise scalable models, ensuring continuous monitoring for drift and performance.
• Design and analyse A/B tests to validate model effectiveness and measure commercial uplift.
• Translate complex statistical outputs into actionable insights for Marketing, Product, Commercial and Ops stakeholders.

Your team and the people you will work with:

Our Data teams are small, empowered, and cross-functional, taking full ownership of the solutions they build. We adopt the technologies that best support our goals and continuously raise the bar on how we deliver value. UW’s Data team is a highly driven, impact-focused group dedicated to understanding customer behaviour and shaping the company’s strategic decisions.

Qualifications:

Required Skills and Experience:

• Proven Data Science experience within a retail, B2C subscription or utilities environment.
• Strong ML knowledge (Regression, Classification, Clustering, Time-series).
• Expertise in Churn and Propensity modeling is essential.
• Expert-level Python (pandas, scikit-learn) and advanced SQL for complex feature engineering.
• Ability to link technical metrics to business KPIs.
• Strong data storytelling skills to explain "black box" models to business leaders.

Additional Information:

We have big ambitions, which means plenty of challenges to tackle and solutions for you to build. We’re looking for people who want to roll up their sleeves and get involved.

• Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation.
• Performance bonus: An annual discretionary bonus ranging from 15-40%.
• Work-life balance: We offer an optional four-day working week (90% pay for 90% impact).
• Work from anywhere: You can work abroad for up to three weeks, twice every tax year.
• Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year.
• UW discounts: Save on our services and you’ll also get access to 100s of rewards and discounts through Perkbox.
• Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary).
• Family first: Policies designed to help you and your family thrive.
• Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership.
• Sabbaticals: An eight-week paid sabbatical after four years of service.
• Growth: A dedicated learning and development budget and bi-annual promotion cycles.
• Inclusion: Join belonging groups that help shape our culture.
• Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’.

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 don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered.

Please note, if you are successful and offered a role at UW, 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.