Utility Warehouse Data Scientist

Experimentation Jobs

Join Utility Warehouse as a Data Scientist to create and implement ML models targeting customer churn and optimising engagement.

Last checked on June 10, 2026. We may earn a commission when you click through.

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A promising opportunity for those keen on applying data science in a practical setting, though it may lack remote flexibility.

✓ Innovative work environment. ✓ Diverse application of data science. ✓ Strong company reputation.
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Utility Warehouse Data Scientist

Experimentation Jobs

Updated 2 months ago
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England

A promising opportunity for those keen on applying data science in a practical setting, though it may lack remote flexibility.

About this role

Join Utility Warehouse as a Data Scientist to create and implement ML models targeting customer churn and optimising engagement.

About the Company

Utility Warehouse provides integrated services including energy, broadband, mobile, and insurance, all on a single bill.

Key Highlights

  • Design and deploy machine learning models.
  • Focus on customer churn and engagement strategies.
  • Opportunity to work with a leading UK utility provider.

💡 Honest Take: This role is well-suited for data scientists looking to make a tangible impact within a growing utility company with diverse services.

Pros

  • Innovative work environment.
  • Diverse application of data science.
  • Strong company reputation.

Cons

  • Limited remote work options.
  • Potentially high workload.
  • Salary details not disclosed.

Best For: Ideal for individuals with a background in data science and a passion for customer engagement strategies.

Watch Out: Candidates should be aware of the demanding nature of the role and the lack of remote working opportunities.

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What Customers Say

Employees highlight a supportive work culture but note the demanding workload and limited remote work options.

Expert Review

This position at Utility Warehouse offers work at the intersection of technology and customer service. As a Data Scientist, you'll be responsible for developing ML models that directly influence customer retention strategies, making your work significant in shaping the company's future.

With a focus on churn propensity and next best action models, the role demands a solid understanding of machine learning principles and practical application. The absence of disclosed salary information could be a downside for some candidates, so it's advisable to clarify expectations during the interview process.

Utility Warehouse is known for its integrated services, which complexity and excitement to the data challenges you'll tackle. However, the lack of remote work flexibility may deter some applicants who prefer a more adaptable working environment. Overall, this role is perfect for those keen to leverage data science in a meaningful and impactful way.

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