Graduate Hydrogeologist

Wolverhampton
11 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Quantitative Analyst

Data Analyst Training Course (Excel, SQL & Power BI)

Data Analyst

Data Analyst

Data Analyst

Graduate Hydrogeologist | Wolverhampton | £26,000

Are you a graduate hydrogeologist or geologist looking for an exciting new opportunity? A talented team of hydrogeologists in Wolverhampton are looking for a new member to join the team.

Company benefits:

Competitive salary
Great progression opportunities
Flexible working
Healthy pension scheme
Full training provided

As the graduate Hydrogeologist you will be working on a variety of responsibilities. From office to site, you will be working on desk studies writing factual reports, collecting ground water samples, applying geological and hydrogeological skills to developing water supplies and working on detailed quantitative risk assessments.

You will receive full training for this role, so no experience is required! We have a talented team of hydrogeologists who are ready to provide all the training necessary for you to be able to carry out the role.

Although it is not essential, a MSc in hydrogeology is desirable.

If you meet the following criteria, we would love to hear from you!

Essential criteria:

Must hold a geology BSc
MSc in hydrogeology (desirable)
Must live within a commutable distance from the Wolverhampton office
Must hold a UK driving licence
Must have full working rights to work in the UK

Please email your CV to or call me on (phone number removed) if you are interested in applying

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.

Jobs

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.

Careers

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.

Jobs

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.

🍪 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.