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What we do

For almost 30 years, we've been providing energy, broadband, mobile and insurance to the nation - Our unique multiservice model takes away the hassle of our customers having bills and accounts for each individual utility. Instead, we&rsquo;ve replaced them with one easy-to-understand bill that means our customers can spend their time how they want to.

What we stand for

Put simply: we want to help people stop wasting time and money

Who you'll work with

Our culture defines who we are, why we do things, and why that matters. It comes to life in everything we do. From the way we tackle challenges to how we celebrate wins and even how we answer the phone.
<ul>
<li>We put people first</li>
<li>We work together</li>
<li>We deliver progress</li>
</ul>

What you'll get

Images

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.&nbsp; We put people first. It’s all about you.. Are you a driven and curious data scientist eager to tackle high-impact business challenges? Join UW's Data team and be at the forefront of understanding our customers. In this role, you won't just analyse data; you'll answer the critical questions that drive our strategy. We're looking for someone to use advanced data science and machine learning to uncover the 'why' behind customer behaviour, such as identifying complex churn triggers for our energy customers. You will also develop and own the models that quantify key business metrics like Customer Lifetime Value (LTV) and Customer Acquisition Cost (CAC). 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. 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. We deliver progress. What you’ll do and how you will make an impact. What You’ll Do Design and execute advanced statistical and predictive models to understand the key drivers of customer behaviour, retention, and engagement. Develop and refine sophisticated models to measure and predict key commercial outcomes and customer behaviours (e.g., lifetime value, acquisition efficiency), providing critical insights to our marketing and commercial teams. Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment. Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using Docker and Kubernetes. Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders. Keep up to date with the latest research and developments in data science, machine learning, and MLops, and champion new approaches within the team. Required Skills and Experience Proven experience (e.g., 3-5+ years) in a data scientist role, tackling complex, high-impact business problems like customer behaviour analysis, segmentation, or commercial value modelling. A deep understanding of machine learning theory and practical application (e.g., regression, classification, clustering, time-series forecasting, survival analysis). Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). A proven ability to break down vague, complex problems into concrete, solvable steps. Excellent communication and data storytelling skills. You can build strong relationships and manage expectations with diverse stakeholders. So why pick UW? We’ve got big ambitions, so there’s going to be plenty of challenges. There are also a lot of benefits:&nbsp; An industry benchmarked salary. We’ll share it during your first conversation. Share Options and Save as You Earn scheme. Enjoy a discount on our services and receive our coveted Cashback Card for free.&nbsp; A matched contribution pension scheme and life assurance up to 4x your salary. Family-friendly policies, designed to help you and your family thrive. Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP. Belonging groups that help UW shape an even more inclusive future. A commitment to helping you develop and grow in your role. Apply here! &nbsp; 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 recruitment process.&nbsp; Additional Information 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.&nbsp;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.

Data Scientist (Mid - Senior Level)

Company Description 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 a 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. This is a 9 month contract. It is a remote role. This is an immediate start vacancy. We put people first. It’s all about you.. We are looking for a Data Analyst to join our Business Intelligence team. You will work in a team alongside other analysts to develop data pipelines, transform and interrogate data, derive insights and build reports and dashboards for stakeholders, that drive strategic and operational decision-making. Reporting directly to our Business Intelligence Manager you will play a pivotal role in helping us drive our digital transformation whilst not forgetting the human side of every customer interaction.&nbsp; You will help drive efficiency, action and leading customer service through robust measurement, actionable KPIs, reporting, &amp; analytics. Beyond understanding our unique business model you will help us get to know our teams and customer interactions better. Working with operational teams and customer product teams you will model data from business systems to be insight and operations ready. This role is for you if you have: Solid experience in SQL&nbsp; Experience with Google BigQuery preferable Experience working with relational and non-relational data sources Experience using Google Looker Studio (formerly Data Studio), or similar products Data visualisation and data storytelling skills Familiarity with data modelling concepts Experience of requirements gathering and stakeholder management Knowledge of Google Sheets Familiarity with fundamental statistical concepts Highly diligent with exemplary attention to detail Strong communicator with ability to articulate complex technical subject matter to non-technical users Worked with data supporting a Contact Centre operational environment 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. The successful candidate will be a data enthusiast, possessing curiosity and an inquisitive attitude and need to be comfortable with data manipulation, processing and modelling. You will have an appreciation for self-service analytics and data governance.. This role is an excellent opportunity for a candidate seeking&nbsp; to drive themselves with their own enthusiasm for data and to make a significant difference to the growth of the business. What you'll do Join a small Business Intelligence team working within Operational Support Interrogate data in Google Big Query and develop data pipelines for analysis and reporting Build a portfolio of reports and dashboards using Looker Studio Ensure business alignment, active adoption and trust in numbers Curate trusted data models to enable self service analytics Manage the access and distribution of reports Adopt best practice data management techniques Be accountable for servicing information to our operations managers and team leaders What's in it for you ????Join a high growth FTSE 250 business and help us achieve our ambitions whilst learning and having fun. Become part of a fantastic business culture where people really are at the heart of everything we do. Huge opportunities for exposure &amp; development as we scale up A competitive salary 25 days holiday plus Bank Holidays Life Insurance up to 4 x your salary Discounted healthcare and medical cash plans including a free Virtual GP service Private pension scheme Share options and Save As You Earn Scheme A range of Health &amp; Wellbeing benefits including a confidential Employee Assistance Programme, Virtual fitness classes and wellness tools Discounts on UW products &amp; services Access to conferences (e.g. NeurIPS, ICML) You’ve got this far... Hit apply - we can’t wait to hear from you! Worried you don’t hit all the criteria? We welcome applications from diverse and varied backgrounds so get your application in and let’s chat! Martyna Zbyszewska will be your point of contact throughout the recruitment process.&nbsp;&nbsp; Job Description Additional Information 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.&nbsp;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.

Data Analyst - Business Intelligence (9-month FTC)

Company Description Location: Hybrid, 2 days a week in our Colindale or Farringdon office 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. Got your attention? Read on… We put people first. It’s all about you.. We're looking for an experienced and results-driven Outbound Sales Manager to lead our outsourced sales team. You'll have Excellent leadership skills with the ability to motivate a remote team to exceed targets and the Ability to operate and communicate effectively across a broad range of seniority from agents on the phone to senior executives. You'll have:&nbsp; A track record of success in an outbound sales management role, preferably with experience managing outsourced teams and meeting or exceeding sales and retention goals. Demonstrated experience in running a tender process to identify and select the optimum telemarketing agency. Strong understanding of sales methodologies, particularly those focused on cross-selling and customer retention. Commercial and contractual astuteness In-depth knowledge of outbound dialer technology and the ability to select the right dialer type for specific campaign goals. Analytical mindset with a knack for using data to drive strategy and decision-making. Exceptional communication and interpersonal skills for building strong relationships both internally and with the outsourced team. Proficiency with CRM software (e.g., Salesforce, HubSpot) and sales analytics tools. We work together. Your team and the people you will work with… You'll report to our Head of Customer Onboarding and Retention and support the team that is critical to reducing early-life churn, enhancing first impressions, and building long-term loyalty in a highly competitive market.&nbsp; You’ll build new relationships and drive quality sales volumes into UW, ensuring customer expectations are met from the very first conversations and that teams have everything they need to deliver. We deliver progress. What you’ll do and how you will make an impact... This role is crucial for developing and executing strategies that drive cross-sales and improve customer retention. You'll be responsible for building and managing a high-performing capability, analyzing performance data, and ensuring our sales goals are met. Key Responsibilities Lead and manage an outsourced outbound sales channel typically across multiple providers.&nbsp; You will be responsible for them receiving the necessary coaching, training, and performance feedback. Grow the outbound sales channel by identifying and onboarding new outbound partners capable of signing customers up through their team, ensuring alignment with sales forecast Manage (or support) the tender process for selecting and onboarding new outsourced telemarketing agencies, including defining requirements, evaluating proposals, and negotiating contracts Oversee the contractual relationship and performance management with our outsourced outbound telemarketing agency Develop and implement outbound sales strategies to identify and capitalize on cross-selling and retention opportunities within our existing customer base.&nbsp;&nbsp; Create and execute campaigns focused on increasing customer loyalty and reducing churn. Analyze sales data and metrics to identify trends, forecast sales, and make data-driven decisions to optimize performance. Collaborate closely with internal teams like marketing, product, and customer service to align on goals and ensure a seamless customer experience. Launching and developing new campaign opportunities.&nbsp; Stay updated on industry trends and best practices in outbound sales and customer retention. Possess deep knowledge of various outbound dialer types (e.g., predictive, progressive, power, preview) and their optimal use for different campaigns and business objectives. So why pick UW? We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits:&nbsp; An industry benchmarked salary. We’ll share it during your first conversation. Share Options and a Save as You Earn scheme. Hybrid working, with 2 days in the office. (We’re definitely open to discussing flexible working arrangements) Electric Car salary sacrifice scheme through Tusker Discount on our services and you get our coveted Cashback Card for free. You’ll also get access to 100s of rewards and discounts through Perkbox A matched contribution pension scheme and life assurance up to 4x your salary. You can also access free mortgage advice and a financial wellbeing tool. Family-friendly policies, designed to help you and your family thrive. Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP. Our wellbeing app Unmind supports your mental health. Belonging groups that help UW shape an even more inclusive future. A commitment to helping you develop your career journey through learning, coaching and new experiences Apply here! &nbsp; You’ve got this far… Hit apply - we can’t wait to hear from you! Worried you don’t hit all the criteria? We welcome applications from diverse and varied backgrounds so get your application in and let’s chat! Additional Information 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.&nbsp;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.

Outbound Sales Manager

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. Got your attention? Read on… We work together. Your team and the people you will work with… We work in small, fully autonomous teams with real ownership of their products. The Customer Acquisition team sits within Growth and owns the entire signup and ordering journey — one of UW’s most mission-critical funnels. This covers everything from the customer UI to the backend services powering partner onboarding, direct customers, internal sales teams and third-party channels. We are mid-way through major launches across partner and internal channels, following a significant rewrite of the signup experience. You’ll join at a moment of real momentum, working closely with product, design and engineers across multiple domains. We deliver progress. What you’ll do and how you will make an impact. You’ll help evolve our signup and ordering flows into a resilient, scalable platform capable of supporting UW’s next phase of growth. Your impact will include: Improving resilience, scalability and system reliability Raising engineering standards across observability, SLAs and deployment quality Contributing to key launches (including partner rollout and rebrand work) Supporting distributed system improvements and database migration projects Core Responsibilities Work primarily in Go, GraphQL, Docker &amp; Kubernetes Break down complex work and deliver with minimal oversight Maintain strong engineering standards across code, documentation and security Own deployments within the team’s Kubernetes namespace Mentor mid-level engineers through pairing, PR reviews and technical leadership Collaborate with product/design to refine scope and solve problems pragmatically We put people first. It’s all about you… We’re looking for a senior backend-leaning engineer to work across our core customer acquisition platforms. You’ll work primarily with Go, GraphQL, Docker and Kubernetes. You’ll own deployments end-to-end within our team’s Kubernetes namespace and contribute to systems where resilience, reliability, observability and uptime really matter. You’ll thrive here if you enjoy autonomy, solving distributed systems problems, and mentoring others as a player-coach. Collaboration, pragmatism and low-ego teamwork are essential. Required Skills and Experience To be successful in this role, you’ll need: Strong production experience with Go (non-negotiable) Fluency with GraphQL, Docker and Kubernetes Experience with distributed systems , concurrency and event-driven architectures Good understanding of resilience, observability, uptime, SLAs and progressive degradation Ability to deliver end-to-end: design ? build ? deploy ? support Experience with CI/CD tooling (GitHub Actions, ArgoCD), Terraform and cloud workflows Familiarity with Kafka and database migrations (CockroachDB ? RDS) is beneficial Comfortable contributing to React/TypeScript when required Strong communication, collaboration and problem-solving skills Experience mentoring mid-level engineers and modelling engineering best practices Comfortable working in autonomous, product-focused teams Possible Next Career Steps Staff Software Engineer Engineering Manager So why pick UW? We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits: An industry-benchmarked salary. We’ll share it during your first conversation. Share Options and Save as You Earn scheme. Flexible working — remote-first with access to hot desks across the UK and a central London hub. Work-from-anywhere policy for up to 2 weeks per year. Discounts on our services and a free Cashback Card. Matched-contribution pension scheme and life assurance up to 4x salary. Family-friendly policies designed to help you and your family thrive. Discounted private health insurance, Employee Assistance line and free Virtual GP. Belonging groups helping shape an inclusive future. A commitment to learning and progression through our Career Development Framework. Apply here! You’ve got this far… Hit apply — we can’t wait to hear from you! Worried you don’t hit every criterion? We welcome applications from diverse backgrounds — get your application in and let’s chat! David Finlay will be your point of contact throughout the recruitment process. Additional Information 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.&nbsp;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.