Halliburton
Senior Geoscience Specialist
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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 with strong programming and machine learning skills 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
- Lead the development of cutting-edge geoscience research for novel subsurface workflows.
- Working with geoscientists, data scientists, and product teams translate geological concepts into robust computational methods.
- Prototype new AI-enabled workflows.
- Proactively identify opportunities to advance domain technology.
Required Qualifications & Skills
- Degree in geoscience, geology, petroleum geoscience, computational geoscience, or a related discipline; completion of a master’s degree or PhD is preferred.
- 10 years of relevant experience.
- Strong geoscience expertise in areas such as stratigraphy, sedimentology, petroleum geology, reservoir characterization, or subsurface interpretation.
- Experience working with subsurface datasets such as wireline logs, seismic, biostratigraphy, stratigraphic surfaces, maps, or reservoir models.
- Strong 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, software engineers, data scientists, and product stakeholders.
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AI / ML Implementation
- Design, implement, and test AI/ML methods that automate or enhance subsurface interpretation, prediction, and modelling.
- Apply data-driven approaches to sparse, noisy, and heterogeneous geoscience datasets.
- Develop methods that preserve geological realism, respect subsurface uncertainty, and 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, software engineers, 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.
- Lead and contribute to technical presentations, publications, patent disclosures, and internal knowledge-sharing activities.
Qualifications
- PhD or equivalent research experience in geoscience, computational geoscience, machine learning, or a related field.
- Proven application of AI/ML to geoscience, subsurface interpretation, reservoir modelling, or geological prediction problems.
- Experience with energy-sector datasets, workflows, or software products.
- Familiarity with geological process modelling, or uncertainty-aware subsurface workflows.
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Equal Opportunity Employer
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.
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
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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