Utility Warehouse Data Scientist

Experimentation Jobs

Join Utility Warehouse as a Data Scientist to design and deploy machine learning models focused on customer retention and engagement.

Last checked on August 20, 2026. We may earn a commission when you click through.

This position is ideal for data scientists looking to make a tangible impact in a customer-centric tech company. However, the demands of the role may not suit everyone, especially those seeking a low-pressure environment.

✓ Opportunity to work with advanced ML technologies ✓ Strong focus on customer impact ✓ Collaborative work culture

Utility Warehouse Data Scientist

Experimentation Jobs

Updated 4 days ago

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London

About this role

Join Utility Warehouse as a Data Scientist to design and deploy machine learning models focused on customer retention and engagement.

About the Company

Utility Warehouse provides energy, broadband, mobile, and insurance services consolidated onto a single bill.

Key Highlights

✓ Develop machine learning models for customer retention
✓ Opportunity to impact customer engagement strategies
✓ Work in a dynamic technology environment
✓ Collaborate with cross-functional teams

💡 Honest Take: While the role offers a chance to work on significant projects, be prepared for a fast-paced environment with high expectations. Some may find the workload intense, especially during project launches.

Pros

✓ Opportunity to work with advanced ML technologies
✓ Strong focus on customer impact
✓ Collaborative work culture

Cons

✗ High workload during peak times
✗ Limited salary information available
✗ May require long hours to meet deadlines

Best For: Professionals in data science who thrive under pressure and want to contribute to customer retention strategies.

Watch Out: Salary not disclosed, for candidates prioritising compensation.

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Expert Review

The role at Utility Warehouse is designed for those ready to tackle real-world challenges through data science. With responsibilities that include designing machine learning models for churn prediction, expect to engage in impactful projects that directly influence customer satisfaction.

The company promotes a culture of collaboration. However, this can lead to intense workloads, particularly around project deadlines. Candidates should be prepared for a fast-paced atmosphere where the demands can be significant.

Importantly, the absence of disclosed salary ranges leaves potential applicants in the dark, which could deter those who are salary-sensitive. It's advisable to inquire directly during the application process to gain clarity on this matter.

Overall, the position is well-suited for data scientists eager to apply their skills in a meaningful way but may not be ideal for those seeking a balanced workload or clarity on compensation.