National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Graduate Geophysicist

RWE
London
5 months ago
Applications closed

Related Jobs

View all jobs

Graduate Electronics Engineer

Graduate/Trainee Recruitment Consultant

Graduate Sales Development Representative

Graduate Machine Learning Engineer London (Basé à London)

Graduate Machine Learning Engineer (Basé à London)

Graduate Machine Learning Engineer

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

National AI Awards 2025

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 to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.