Machine Learning Geoscientist - Jr

Halliburton; Abingdon; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading energy services firm is seeking an entry-level geoscience professional in Abingdon. The role involves applying innovative machine learning techniques to subsurface geoscience challenges within a collaborative team. Ideal candidates will hold an honors degree in geoscience and possess strong Python programming skills, along with 2-5 years of relevant experience. This full-time position offers opportunities for growth in a dynamic workplace focused on cutting-edge technology.

Qualifications

• 2 - 5 years of relevant industry experience.
• Strong understanding of geoscience domains like stratigraphy or petroleum geology.
• Experience with subsurface datasets such as wireline or seismic.

Responsibilities

• Apply theories to the research and development of new products.
• Design AI/ML algorithms for geological interpretation.
• Collaborate with multiple disciplines to enhance workflows.

Skills

Geoscience knowledge

Python programming

Experience with ML frameworks

Communication skills

Teamwork skills

Education

Honors degree in geoscience

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

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 passionate about applying cutting-edge machine learning to subsurface geoscience challenges? Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you’ll help shape the future of subsurface interpretation and modelling.

Key Responsibilities

Under supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients.

Required Qualifications & Skills

• Honors degree (2:1 or above) geoscience.
• 2 - 5 years relevant industry experience
• Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
• Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy).
• Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent communication and teamwork skills in a collaborative R&D environment.

AI / ML Implementation:

• Design and implement AI/ML algorithms to automate and enhance geological interpretation.
• Develop AI/ML algorithms to improve geological realism in subsurface models.
• Validate predictive models using blind test datasets and real-world scenarios.

Collaboration & Innovation

• Work closely with colleagues from multiple disciplines to refine and enhance workflows.
• Stay current with AI/ML and geoscience advancements to drive innovation.
• Contribute to publications, patents, and technical presentations.

Desirable Experience

• Proven application of AI/ML in geoscience projects.
• Experience in the energy sector.

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: 204383
Experience Level: Entry-Level
Job Family: Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time: Full-time

Additional Locations for this position:

Compensation Information
Compensation is competitive and commensurate with experience.