Wastewater Network Modeller - all grades

Advance TRS
Peterborough
1 year ago
Applications closed

Related Jobs

View all jobs

Portfolio Revenue & Debt Data Scientist

Portfolio Revenue & Debt Data Scientist

Portfolio Revenue & Debt Data Scientist - Swindon, Swindon

Data Scientist

Job Title: Wastewater Modelling Specialist

Salary: £35,000-£60,000 (dependent on experience)

Location: South East England, near Haywards Heath (hybrid, ideally 2-3 days per week in office, with flexibility for senior/principal-level candidates)

Type: Permanent

About the Role:

This role is an exciting opportunity to work at the intersection of machine learning, data science, and wastewater modelling. You will contribute to groundbreaking projects in optimisation, digital transformation, automation, and real-time modelling, leveraging state-of-the-art tools and methodologies.

About the Client:

Our client is a UK-based team specialising in innovative modelling services that set them apart from other consultants. Their focus includes optimisation, digital transformation, automation, and cutting-edge water quality and real-time modelling techniques. This role offers you a chance to join a collaborative environment with training and mentorship from one of the UK's leading experts in hydraulics and hydraulic modelling.

Key Responsibilities:

  • Develop machine learning, AI, and data analytics solutions to support wastewater modelling.
  • Utilise programming languages such as Ruby, FME, and Python to create robust modelling tools.
  • Work with industry-standard tools like InfoWorks ICM and ArcGIS.
  • Engage in model audits, 2D and water quality modelling, and optimisation projects.
  • Participate in digital transformation initiatives to drive innovation across the industry.

What Our Client is Looking For:

  • Expertise in machine learning, AI, data science, and data analytics.
  • Proficiency in programming languages, particularly Ruby, FME, and Python.
  • Experience in wastewater modelling and familiarity with InfoWorks ICM.
  • A keen interest in innovation, digital transformation, and optimisation.
  • A collaborative and flexible approach to work.

What Our Client Offers:

  • Comprehensive training in key areas, including Optimizer software, ArcGIS, water quality modelling, and US hydrology.
  • Mentorship from one of the UK's leading experts in hydraulics and hydraulic modelling.
  • Company-funded travel opportunities to the USA for collaboration, conferences, and additional training.
  • A chance to work on specialised modelling services, setting you apart in the industry.

Eligibility:

Applicants must be eligible to work in the UK and able to commit to a hybrid working arrangement with 2-3 days per week in the office (flexibility provided for senior/principal-level candidates).

Opportunity for Growth:

This role offers unmatched opportunities to expand your expertise in machine learning, data analytics, and wastewater modelling. With access to world-class training and a focus on innovation, you'll play a pivotal role in shaping the future of the industry.

We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


JBRP1_UKTJ

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.

Careers

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.

Jobs

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.

Education

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.