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GRTS

Geophysicist

London
Posted about 20 hours ago
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Geophysicist (Geostatistics & AI)

A Cambridge University spin-out is transforming how mining companies model and understand orebodies using explainable AI. Backed by $4 million in funding and already working with some of the world's largest mining companies, they're looking to hire a Geophysicist to play a key role in shaping the future of resource modelling.

This is a rare opportunity to join an early-stage business where you'll influence both the technology and the way mining companies make critical exploration and resource development decisions.

The Opportunity

Working alongside a highly technical team of engineers and AI specialists, you'll bridge traditional geostatistics with cutting-edge machine learning, helping develop robust, uncertainty-aware geological models that improve confidence in resource estimation and drilling decisions.

This is a hands-on technical role where you'll have the opportunity to:

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

  • Develop and improve geostatistical and geophysical modelling workflows.
  • Benchmark AI-generated models against traditional resource estimation techniques such as kriging and conditional simulation.
  • Work with geological, geophysical and drilling datasets to produce meaningful insights for mining companies.
  • Build scalable, reproducible Python workflows rather than one-off analyses.
  • Help shape the future direction of the company's modelling methodology and product.

About You

  • Geophysics or Geostatistics background.
  • Strong Python programming skills.
  • Resource estimation and block modelling experience.
  • Solid understanding of geostatistical methods including variography, kriging and conditional simulation.
  • Experience working with geological and geophysical datasets within the mining industry.
  • Familiarity with software such as Leapfrog, Vulcan, Datamine or Micromine.
  • MSc or PhD in Geophysics, Geostatistics or a related discipline would be advantageous.

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Why Join?

  • Join a rapidly growing Cambridge University spin-out at an exciting stage of growth.
  • Work on genuinely innovative AI technology with real-world mining applications.
  • Influence product development and technical strategy from an early stage.
  • Competitive salary plus meaningful equity.
  • Collaborate with a highly experienced technical leadership team.
  • Help shape technology that has the potential to significantly reduce drilling costs, improve resource confidence and accelerate mining projects worldwide.

If you're passionate about combining geophysics, geostatistics and technology to solve complex mining challenges, we'd love to hear from you.

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Skills

Geophysics
Geostatistics
Python
Resource Estimation
Block Modelling
Variography
Kriging
Conditional Simulation
Leapfrog
Vulcan
Datamine
Micromine
Machine Learning
Data Analysis

Location

London, England, United Kingdom

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