Data Scientist

Utility Warehouse

Not Interested
Bookmark
Report This Job

profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

We deliver progress. What youll do and how you will make an impact.

  • 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.

UWs Data team is a highly driven impact-focused group dedicated to understanding customer behaviour and shaping the companys 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 :

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 :

So why pick UW

Weve got big ambitions so theres going to be plenty of challenges. There are also a lot of benefits: 

  • An industry benchmarked salary. Well share it during your first conversation.
  • Discretionary performance bonus 
  • Enjoy a discount on our services and receive our coveted Cashback Card for free. 
  • 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!  

Youve got this far Hit apply - we cant wait to hear from you! Worried you dont meet all the criteria We welcome applications from diverse and varied backgrounds so get your application in and lets chat!

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 dont 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.


Remote Work :

No


Employment Type :

Full-time

We deliver progress. What youll do and how you will make an impact.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 techni...
View more view more

About Company

Company Logo

From a pub in Henley back in ‘96, to an award-winning business with over a million customers – we’ve come a long way. For over 20 years we’ve been putting money back into people’s pockets through our unique utilities bundles. We take pride in delivering simple yet powerful services t ... View more

View Profile View Profile