Salary: Circa £42,000, salary depending on skills and experience
Location: Peterborough or Huntingdon – Hybrid working
Contract: Permanent
Full time with the flexibility for part-time
Department: Water Optimisation
We’re looking for an Associate Data Scientist to join our growing System Performance Team. This is an exciting opportunity for someone who is keen to grow their capability, experiment with new techniques, and make a real impact across the business.
You’ll support the development of data science products that help our colleagues make quicker, smarter decisions at scale. These products span everything from advanced data visualisation and predictive analytics to machine learning models that support operational and strategic decision making.
If you’re curious about data, passionate about solving problems, and keen to build real-world products used by hundreds of colleagues, we’d love to hear from you.
What You’ll Be Doing
- Develop Data Science Models (40%)
- Work alongside data scientists, analysts, and subject matter experts to build statistical and predictive models.
- Carry out exploratory analysis, including data mining, univariate analysis and empirical data analysis, to understand business problems.
- Apply machine learning techniques such as linear/logistic regression, decision trees and neural networks.
- Validate models using appropriate performance and accuracy metrics.
- Turn complex data into clear, engaging insights and visualisations tailored to your audience.
- Data Engineering & Manipulation (40%)
- Identify, clean and prepare datasets for use in data science products.
- Build reusable processes and automated checks for repeatable data preparation tasks.
- Create and maintain data pipelines for developing and testing operational data science products.
- Work closely with Enterprise Data Engineers to promote proven products into production environments.
- Grow Your Data Science Capability (20%)
- Take responsibility for your development by staying curious, researching new data science methods, and asking the right questions.
- Learn and adopt data science norms and best practices.
- Build your capability in programming, analytics, and data products through hands-on experience and mentoring.
About You
You’ll thrive in this role if you have:
- A foundational understanding of data science techniques and tools.
- Experience working with datasets, cleaning and manipulating data, and building basic models.
- Skills in Python, R or similar programming languages.
- Experience working with cloud-based data platforms such as Azure & Databricks
- A keen eye for detail and strong problem-solving abilities.
- The ability to translate data into meaningful insights through visualisation.
- A growth mindset and an eagerness to learn from others.
- A BSc or MSc in Data Science, Computer Science, Statistics, Mathematics or a related discipline, or equivalent relevant work experience, is required
- Desirable: Experience working with energy-related datasets (e.g. consumption data, operational energy metrics, or metering data). This will be considered a strong plus.
- Desirable: Experience working within the Water Industry
As a valued employee, you’ll be entitled to:
- Full private healthcare with no excess
- 26 days leave, rising with service + Bank Holidays, with the option to swap Christmas and Easter holidays for those celebrated by your religion
- A flexible working culture
- Competitive pension scheme – we double-match your contributions up to 6%
- Life Assurance at eight times your salary
- Personal Accident cover – up to 5x your salary
- Bonus Scheme
- Lots of great discounts
- Flexible benefits to support your wellbeing and lifestyle
- Paid time off when you’re physically and mentally unwell
- An excellent Family Leave package – to help you support your family
Why Join Us?
- A supportive team where learning and development is part of everyday life.
- Opportunities to work on real-world problems that make a tangible difference.
- Access to training, mentoring and modern data science tools.
- The chance to progress your career and contribute to meaningful innovation.
Closing date: 28 January 2026
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