Data Scientist

Montash
Liverpool
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.