Associate Data Scientist

Anglian Water Services
Saint Ives
1 month ago
Applications closed

Related Jobs

View all jobs

Associate Data Scientist

Associate Data Scientist

Teaching Associate - Data Science / Statistics

Risk Management - Data Scientist Associate

Senior Data Scientist

Senior Data Scientist

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’relooking for anAssociateData Scientist to join our growingSystem 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’llsupport 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 decisionmaking.

Ifyou’recurious about data, passionate about solving problems, and keen to build real-world products used by hundreds of colleagues,we’dlove to hear from you.

WhatYou’llBe Doing

1. 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, univariateanalysisand empirical data analysis, to understand business problems.

Apply machine learning techniques such as linear/logistic regression, decisiontreesand neural networks.

Validate models usingappropriate performanceand accuracy metrics.

Turn complex data into clear, engaging insights and visualisations tailored to your audience.

2. Data Engineering & Manipulation (40%)

Identify,cleanand prepare datasets for use in data science products.

Build reusable processes and automated checks for repeatable data preparation tasks.

Create andmaintaindata pipelines for developing and testing operational data science products.

Work closely with Enterprise Data Engineers to promote proven products into production environments.

3. 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’llthrive in this role if you have:

A foundational understanding of data science techniques and tools.

Experience working with datasets,cleaningand manipulating data, and building basic models.

Skills in Python,Ror similar programming languages.

Experienceworking 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,isrequired

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’llbe entitled to:

Full private healthcare with no excess

26 days leave, rising with service + Bank Holidays, with theoptionto 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 whenyou’rephysically 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

#loveeverydrop

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.