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KoBold Metals

Data Scientist - Staff or Senior (United Kingdom)

KoBold Metals · Remote

Posted about 3 months ago

or apply directly on KoBold Metals's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
KoBold Metals's roles stay open a median of 81 days
Reposted
No
Salary listed
No
69% of KoBold Metals's roles list one
Ghost-job risk at KoBold Metals
high
36 stale, 0 reposted of 36 open
Hiring momentum
38 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from KoBold Metals's own greenhouse board since 2026-08-03. Full hiring picture for KoBold Metals.

About this role

As a Data Scientist at KoBold, you will build predictive models and apply various scientific computing methods to identify locations of ore-grade mineralization. You will collaborate with geoscientists to create geologic predictions, design field programs, and develop software tools to enhance mineral exploration. Your role involves integrating diverse data sources and presenting findings to stakeholders, all while contributing to the company's mission of revolutionizing mineral exploration through AI and technology.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of KoBold Metals as an employer.

What you need

  • Extensive experience with Python’s data science packages and general software engineering practices
  • Collaborative software development (git) and familiarity with software engineering best practices
  • Experience with cloud computing resources
  • Building predictive models and evaluating results
  • Geospatial analyses and visualizations
  • Broad skills in applied statistics and Bayesian inference

Nice to have

  • Experience with creating machine learning models on geospatial data
  • Knowledge of geostatistics
  • Experience in image processing or computer vision
  • Familiarity with distributed computing applications for machine learning

What you get

  • Equity and benefits offered

Worth weighing

  • No specific salary listed for the UK position
  • Remote-first workplace with travel expectations
  • Dynamic work environment may require adaptability

Summarised from KoBold Metals's posting. Read the full original.

Listed by KoBold Metals on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

More roles at KoBold Metals

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