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About the Role

Join UW's Data team as a Data Scientist to build predictive engines that directly drive customer strategy, focusing on Next Best Action (NBA), Customer Segmentation, and Churn Propensity models. You will own xLTV and ROI modelling, working closely with product and engineering teams to operationalize insights and manage the end-to-end ML lifecycle from POC to production deployment.

Responsibilities

• Design and deploy robust ML models for Churn Propensity and Next Best Action (NBA) engines.
• Develop advanced Customer Segmentation using clustering techniques.
• Own xLTV and ROI logic, modeling long-term customer value.
• Collaborate with Data Engineers to productionize scalable models and ensure continuous monitoring.
• Design and analyze A/B tests to validate model effectiveness.
• Translate complex statistical outputs into actionable insights for stakeholders.

Requirements

• 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.

Skills

• Python
• pandas
• scikit-learn
• SQL
• Machine Learning
• Regression
• Classification
• Clustering
• Time-series
• Churn Modeling
• Propensity Modeling
• A/B Testing
• Data Storytelling

Location

• Remote

Work Type

• Full-time
• Part-Time (4DWW)

Experience Level

• Data Scientist

Salary/Compensations

• Competitive salary benchmarked against the industry
• Annual discretionary bonus ranging from 15-40%

Benefits

• Flexible working
• Optional four-day working week (90% pay for 90% impact)
• Work abroad for up to three weeks, twice every tax year
• 25 days holiday plus bank holidays (increasing with tenure)
• Option to trade up to five days holiday each year
• UW discounts
• Access to 100s of rewards and discounts through Perkbox
• Matched-contribution pension scheme
• Life assurance (up to 4x salary)
• Family-first policies
• Allowance for private health insurance, dental insurance, or gym membership
• Eight-week paid sabbatical after four years of service
• Dedicated learning and development budget
• Bi-annual promotion cycles
• Belonging groups that help shape our culture
• Company-wide celebrations

About the Company

• UW aims to simplify utilities by providing energy, broadband, mobile, and insurance in one place with savings.
• The company is aiming to double in size.
• UW's technology teams work behind the scenes to deliver a simple customer proposition.
• Data teams are small, empowered, and cross-functional, owning their solutions and adopting technologies that support their goals.
• The Data team is impact-focused, dedicated to understanding customer behavior and shaping strategic decisions using advanced data science and machine learning.

Equal Opportunity

• We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone.
• Welcome applications regardless of age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation.
• Support for needs will be carefully and fairly considered.
• Background checks are conducted for successful candidates.