Graduate Geophysicist

RWE
London
1 year ago
Applications closed

Related Jobs

View all jobs

Graduate Machine Learning and AI Engineer

Graduate Data Scientist

Junior / Graduate Data Scientist

Machine Learning Engineer

Data Scientist

Faculty Fellowship Programme - Data Science - May 2026

RWE Renewables UK Management Ltd.
To start as soon as possible, full time, permanent

Functional area:Engineering

RWE Renewables is a major player in the offshore wind industry, with development interests in the UK and across core markets in Europe, the Americas and in the Asia-Pacific region.

About the role:

  1. Working with a committed and motivated team, you will be mentored by experienced geoscientists and hydrographic surveyors to expand your knowledge in a professional setting.
  2. You will be involved in supporting the development and continuous improvement of work scopes for desktop studies, onshore and offshore geophysical surveys, and ground models.
  3. Participation in review of technical documents from our contractors, including tenders, technical reports, and geophysical and hydrographic datasets.
  4. You will communicate survey results and ground conditions information to our internal and external stakeholders, ensuring high levels of quality and accuracy are maintained.
  5. Working across the global RWE portfolio of offshore wind farms, you will support all stages of site development from site selection, engineering, construction, operations and maintenance, and eventually life extension and decommissioning works.
  6. Interacting daily with the wider cross-discipline teams, you will have opportunities to learn and develop your wider skills regarding oceanography, geotechnical engineering, civil engineering and consents.

Job requirements and experience:

  1. A Master's degree (or equivalent) in a relevant geoscience discipline, or a Bachelor's degree (minimum level 2:1) and accomplishment of the RWE Graduate Scheme.
  2. Willingness to work as part of a dynamic team with proficient communication skills (both oral and written), and the ability to interact, connect and collaborate across cross-cultural and international teams, with attentiveness and understanding supporting diversity and inclusion.
  3. Advanced reasoning and analytical skills, with a problem-solving and forward-thinking mindset.
  4. Knowledge and understanding of a range of disciplines including geophysics, geology, geography, engineering geology, hydrography, oceanography, energy transition, geo-data science and environmental geoscience.
  5. Experience in the integration of geophysical datasets, preparing and analysing scientific data appropriately, and preparing written reports and giving oral presentations.
  6. Familiarity with geophysical data collected in the marine and coastal environments, this might include systems such as single beam and multibeam echo sounder, sidescan sonar, magnetometer, gradiometer, sub-bottom profiler, or 2D/3D UHR seismic data, and experience interpreting the resulting datasets.
  7. Appreciation and high regard for health and safety in all aspects of your work as well as consideration for the environment.
  8. Flexibility, with the capacity to manage independently and operate on your own when necessary.
  9. Skill in the use of Microsoft Office Suite is essential.

Advantageous, but not essential:

  1. Familiarity with any specialist industry standard software such as ArcGIS, SonarWiz, Oasis Montaj, S&P Kingdom.
  2. Good understanding or direct experience of ground models and the integration of geophysical data with geotechnical or other ground-truthed datasets.
  3. Experience in programming languages such as Python used in an engineering or geoscience context.
  4. Flexibility to work some time "out of hours" as part of a wider survey team to provide technical support to live (24-hour) survey projects would also be desirable. This is done on a rotating basis and is normally related to covering daily calls (15 minutes) at the weekend and can be as little as once a month.

Apply with just a few clicks:ad code89099,application period:03/02/2025.
Any questions?Contact HR:Marie Bennell #LI-MB1

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters#J-18808-Ljbffr

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.

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.

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.

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.