United Utilities
Lead data science engineer

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About Us
Senior Data Scientist
Location: Warrington (Hybrid, 3 days per week onsite)
Salary: Competitive + Excellent Benefits Package
Team Leadership: Managing a team of 2 Data Scientists
Unfortunately, we may be unable to offer visa sponsorship for this position.
The role
As a Senior Data Scientist, you will work closely with strategy, operational, and technology teams to identify opportunities where advanced analytics and machine learning can unlock business value. You'll lead the design, development, deployment, and continuous improvement of analytical models that support critical decisions across the organisation. You will combine deep technical expertise with strong stakeholder engagement skills, helping to bridge the gap between business challenges and innovative data-driven solutions. Alongside hands-on data science delivery, you'll mentor and support a team of two Data Scientists while helping shape best practices across the wider analytics function.
Key Accountabilities
- Partner with business stakeholders to identify opportunities where data science can deliver strategic and operational value.
- Design, build, deploy and maintain advanced analytical and machine learning models.
- Develop compelling data visualisations and insights for both technical and non-technical audiences.
- Lead the implementation of robust software development lifecycle (SDLC) practices for analytics solutions.
- Engineer, transform and optimise large-scale datasets with varying levels of volume, velocity and complexity.
- Evaluate and apply the most appropriate statistical, machine learning and deep learning techniques for business problems.
- Collaborate closely with Data Engineers, Data Architects and Data Managers to build reliable analytics pipelines.
- Ensure all analytical products are secure, scalable, automated and compliant with governance standards.
- Drive continuous improvement in analytical methodologies, coding standards and model performance.
- Conduct peer reviews of code, models and visualisations to maintain high quality standards.
- Support, mentor and develop a team of 2 Data Scientists.
- Act as a subject matter expert, providing guidance across wider analytics initiatives.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Skills & Experience


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Your very own career expert that helps elevate your application to the next level.
- Expert knowledge of advanced analytic techniques (Statistics, Machine Learning, Deep Learning) and a demonstrable ability to evaluate and select the right approach for the nature of the problem to be solved.
- Extensive experience of collecting, parsing, cleansing and analysing large data sets.
- Open minded and demonstrates strong intellectual curiosity.
- Has an interdisciplinary focus, using techniques and knowledge from across the scientific spectrum.
- Extensive working knowledge of multiple relevant technologies such as DataBricks, Elastic search, Relational databases, No SQL databases, Data Visualisation tools (PowerBI, Tableau).
- Extensive working knowledge of one or more relevant languages such as Python / R / SQL.
- Ability to work in a team environment.
- Strong communication skills to explain why the solutions you have produced are the right options.
- Has excellent listening and questioning skills to understand business needs and technical designs.
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