Halliburton

Global oilfield services provider across lifecycle

Geoscience Specialist

AI ResearchUpdated on Nov 14

Full-timeAbingdon, UKNo salary listedIn-person

About the Job

Requirements

A degree in geoscience, geology, petroleum geoscience, or a related discipline is required.
Up to 4 years of related experience is required.
Expertise in geoscience areas such as stratigraphy, sedimentology, petroleum geology, reservoir characterization, or subsurface interpretation is required.
Proven Python programming skills and hands-on experience with scientific and machine learning libraries are required.
The ability to explain technical concepts clearly to geoscientists, data scientists, and product stakeholders is required.

Responsibilities

Undertake geoscience research for novel subsurface workflows under general supervision.
Translate geological concepts into robust computational methods and identify opportunities to advance domain technology.
Design, implement, and test AI and machine learning methods to automate or enhance subsurface interpretation, prediction, and modelling.
Develop methods that 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.
Work with geoscientists, data scientists, and product teams to turn research ideas into practical prototype workflows.
Stay current with advances in AI and machine learning, geoscience analytics, and subsurface modelling, and assess their application within Landmark workflows.
Contribute to technical presentations, publications, patent disclosures, and internal knowledge-sharing activities.

Desired Qualifications

A master's degree is preferred.
A PhD or equivalent research experience in geoscience, computational geoscience, or a related field is preferred.
Proven application of AI and machine learning to geoscience, subsurface interpretation, reservoir modelling, or geological prediction problems is preferred.
Experience working with subsurface datasets such as wireline logs, seismic, biostratigraphy, stratigraphic surfaces, maps, or reservoir models is preferred.
Experience with energy-sector datasets, workflows, or software products is preferred.
Familiarity with geological process modelling or uncertainty-aware subsurface workflows is preferred.

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.

About the Company

Halliburton

Global oilfield services provider across lifecycle

Halliburton provides services and products for the oil and gas industry across the reservoir lifecycle, from discovery to production. It performs locating hydrocarbons, managing geological data, drilling, formation evaluation, well construction and completion, and production optimization, plus consulting and project management. It differentiates itself through its global scale, end-to-end lifecycle capabilities, and a focus on sustainability and innovation, including initiatives like Halliburton Labs. Its goal is to help clients maximize resource value, improve operational efficiency, and reduce environmental impact through technology, expertise, and project management.

Company size: 10,001+
Company stage: IPO
Headquarters: Houston, TX
Founded: 1919

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