Data Scientist

Montash
Birmingham
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Supply Chain Optimisation

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

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

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.