Data Scientist

Montash
Nottingham
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Job Title:Data Scientist – Hydrology & Infrastructure

Location:Remote

Contract Length:3 months, with likely extensions

IR35 Status:Not yet determined, but most likely outside (rate will be adjusted accordingly)


Overview:

We are seeking a highly skilled Data Scientist with a focus on hydrology and infrastructure to join an exciting project within the utilities sector. The role will involve working with water network data to deliver actionable insights and support key operational decisions. This is a contract role that offers the opportunity to work on impactful, cutting-edge solutions that drive efficiency and savings.


Key Responsibilities:

  • Develop and deliver interactive Power BI dashboards to support decision-making across utility operations.
  • Work with time series, geospatial, and sensor data from water networks.
  • Lead the deployment of AI-driven burst prediction tools using Python/SQLite, delivering multimillion-pound impact.
  • Build and maintain robust ETL pipelines and anomaly detection processes.
  • Create and maintain Management Information (MI) dashboards to enhance project visibility, financial tracking, and operational efficiency.
  • Collaborate closely with cross-functional teams, including engineers, analysts, and product stakeholders, to ensure project success and alignment with business goals.


Must have: Experience in Hydrology Sector


If this is of interest, please apply below and "we" will reach out to you directly

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.