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Geoscience Specialist

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Onsite

Geoscience Specialist

Halliburton

Geoscience Specialist

Skills

PythonData AnalysisMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Abingdon OX14, UK

Work mode:

Onsite

Published on:

6 October 2026

What they need


We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

Are you a geoscientist who wants to develop novel science to solve real subsurface challenges? Join the geoscience research team at Landmark Software & Services where you will help develop new solutions that improve geological interpretation, reservoir understanding, and subsurface modelling.

Key Responsibilities

Under general supervision, you will undertake cutting-edge geoscience research for novel subsurface workflows. Working with geoscientists, data scientists, and product teams, you will translate geological concepts into robust computational methods and proactively identify opportunities to advance domain technology.

Required Qualifications & Skills

  • Degree in geoscience, geology, petroleum geoscience, or a related discipline; completion of a master’s degree is preferred.
  • Up to 4 years related experience.
  • Geoscience expertise in areas such as stratigraphy, sedimentology, petroleum geology, reservoir characterization, or subsurface interpretation.
  • Proven Python programming skills and hands-on experience with scientific and machine learning libraries.
  • Excellent communication skills, with the ability to explain technical concepts clearly to geoscientists, data scientists, and product stakeholders.
  • AI / ML Implementation
  • Design, implement, and test AI/ML methods that automate or enhance subsurface interpretation, prediction, and modelling.
  • Develop methods that may preserve geological realism, respect subsurface uncertainty, or improve the conditioning of geological models to available data.
  • Validate predictive models using blind tests, real-world datasets, geological quality checks, and product-relevant scenarios.

Collaboration & Innovation

  • Work closely with geoscientists, data scientists, and product teams to turn research ideas into practical prototype workflows.
  • Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows.
  • Contribute to technical presentations, publications, patent disclosures, and internal knowledge-sharing activities.

Preferred

  • PhD or equivalent research experience in geoscience, computational geoscience, or a related field.
  • Proven application of AI/ML to geoscience, subsurface interpretation, reservoir modelling, or geological prediction problems.
  • Experience working with subsurface datasets such as wireline logs, seismic, biostratigraphy, stratigraphic surfaces, maps, or reservoir models.
  • Experience with energy-sector datasets, workflows, or software products.
  • Familiarity with geological process modelling or uncertainty-aware subsurface workflows.

Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Technical Professional Prin - Advisor

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom

Job Details

Requisition Number: 211295

Experience Level: Experienced Hire

Job Family: Engineering/Science/Technology

Product Service Line: Landmark Software & Services

Full Time / Part Time: Full-time

Additional Locations for this position:

Compensation Information

Compensation is competitive and commensurate with experience.

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