Demand Reporting Data Scientist - Anglian Water in Huntingdon

Circa £43,344 (depending on Skills & Experience)

Permanent

Full Time / 37 Hours (Flexible working opportunities available)

Huntingdon or Peterborough - Hybrid

Double Matched Pension Scheme (up to 21% combined)

Private Healthcare

Make every drop of your potential count!

We're looking for two Demand Reporting Data Scientists to join Anglian Water's Strategic Asset Management team and help shape how consumption data is understood, reported and used across the business.

Our smart meter estate is expected to grow to 2.3 million meters by 2030, creating a rapid increase in the volume, frequency and strategic value of water consumption data. As part of our central Consumption Data Team, you'll turn this information into advanced analytical models and actionable insight that strengthen, regulatory reporting, demand management, leakage understanding and long-term water efficiency.

This is a hands-on data science role with real operational and environmental impact. You'll work with large, high-frequency datasets, applying statistics, predictive modelling and machine learning to improve how we calculate and understand household and non-household consumption. You'll also help automate data preparation and reporting, retain specialist scientific capability in-house, and support our ambition to achieve world-leading water efficiency outcomes.

What you'll be doing:

Build and develop models that will feed directly into regulatory reporting and consumption component of the water balance, Household and Non household consumption, and night usage.

Enrich stakeholder insight of our Big Data Smart Meter set, applying quality assurance techniques and automation processes to deliver consistent reporting.

Develop statistical and predictive models that improve understanding of consumption, per capita consumption, business demand and leakage, and feed directly into regulatory reporting.

Carry out exploratory analysis, data mining and empirical analysis to identify trends, drivers and opportunities.

Apply data science techniques such as linear and multivariate regression, decision trees, Monte Carlo analysis and neural networks to complex business problems.

Define and apply performance and accuracy measures to validate models and communicate their limitations clearly.

Translate complex findings into clear visualisations and practical recommendations for operational, strategic and regulatory stakeholders.

Identify, cleanse, combine and prepare large, high-frequency datasets for analytical and data science products

Build reusable checks, automated workflows and repeatable data preparation processes

Create and maintain data pipelines, working with Data Engineers to support testing and production deployment