Job Description
Company Description
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. Learn more about life in our Tech teams here.
Got your attention? Read on…
Job Description
Are you a driven and curious Data Scientist eager to tackle high-impact business challenges? Join UW’s Data team andbuild predictive engines that directly drive customer strategy.
We deliver progress. What you’ll do and how you will make an impact…
In this role, you will develop the “brain” of our customer interactions through Next Best Action (NBA), Customer Segmentation, and Churn Propensity models. You will also own xLTV and ROI modelling to guide profitable decision-making, working closely with product and engineering teams to operationalise these insights.
This isn’t a research role. We need a “full-stack” data scientist who can own the end-to-end ML lifecycle. You will take your ideas from initial Proof of Concept (POC) and exploratory analysis all the way through to building, deploying, and maintaining production-ready models, collaborating closely with our Machine Learning Engineers.
Predictive Modelling:
- Design and deploy robust ML models to solve business challenges, specifically Churn Propensity and Next Best Action (NBA) engines.
Customer Analytics:
- Develop advanced Customer Segmentation using clustering techniques to tailor services and communications.
Commercial Valuation:
- Own xLTV and ROI logic, modeling long-term customer value to optimize acquisition and retention spend.
Deployment & Ops:
- Collaborate with Data Engineers to productionise scalable models, ensuring continuous monitoring for drift and performance.
Experimentation:
- Design and analyse A/B tests to validate model effectiveness and measure commercial uplift.
Stakeholder Partnership:
- Translate complex statistical outputs into actionable insights for Marketing, Product, Commercial and Ops stakeholders.
We work together. 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. The team applies advanced data science and machine learning to uncover key drivers of customer actions and to build business-critical models including Customer Lifetime Value and Acquisition Cost.
Qualifications
We put people first. It’s all about you…
Required Skills and Experience:
Experience:
- Proven Data Science experience within a retail, B2C subscription or utilities environment.
Modelling Expertise:
- Strong ML knowledge (Regression, Classification, Clustering, Time-series). Expertise in Churn and Propensity modeling is essential.
Tech Stack:
- Expert-level Python (pandas, scikit-learn) and advanced SQL for complex feature engineering.
Commercial Acumen:
- Ability to link technical metrics to business KPIs.
Communication:
- Strong data storytelling skills to explain “black box” models to business leaders.
Additional Information
Why join UW?
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.
Our benefits:
- 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%.
- Flexible working
- 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 get a free Cashback Card.
- 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’.
Apply here!
You’ve got this far… Hit apply - we can’t wait to hear from you!
Worried you don’t meet all the criteria? We welcome applications from diverse and varied backgrounds, so get your application in and let’s chat!
Beth Rodgers will be your point of contact throughout the process.
Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do.
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.
