At a Glance
- Tasks: Join our geoscience research team to innovate in subsurface interpretation and modelling.
- Company: Be part of Halliburton, a global leader in energy products and services.
- Benefits: Enjoy competitive compensation, career development opportunities, and a collaborative work environment.
- Other info: Located in Abingdon, this role offers a chance to contribute to publications and patents.
- Why this job: Shape the future of geoscience with cutting-edge AI/ML technology and impactful projects.
- Qualifications: Honours degree in geoscience, 4+ years experience, strong Python and ML skills required.
The predicted salary is between 48000 - 84000 £ per year.
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.
Under general 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.
Qualifications & Experience
- Honors degree (2:1 or above) and postgraduate qualification in geoscience.
- Minimum of 4 years related work experience.
- In-depth 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
- PhD in geoscience.
- Proven application of AI/ML in geoscience projects.
- Experience with the energy sector.
- Familiarity with geological process modelling.
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:201967
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.
Senior Machine Learning Geoscientist in Abingdon employer: Halliburton
Halliburton is an excellent employer, offering a vibrant work culture that fosters creativity and collaboration among its teams in Abingdon, Oxfordshire. With opportunities for professional growth and the flexibility of hybrid working arrangements, employees can thrive in one of the world's leading energy services companies while contributing to innovative projects in geoscience and data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Geoscientist in Abingdon
✨Tip Number 1
Network with professionals in the geoscience and machine learning fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your projects and experience on platforms like GitHub or LinkedIn. Highlight any relevant work you've done with AI/ML algorithms in geoscience, as this will demonstrate your practical skills and passion for the field.
✨Tip Number 3
Prepare to discuss your understanding of subsurface datasets and geological processes during interviews. Be ready to explain how you've applied machine learning techniques to solve real-world geoscience problems.
✨Tip Number 4
Stay updated on the latest advancements in AI/ML and geoscience. Follow relevant journals, blogs, and thought leaders to ensure you can contribute innovative ideas during discussions with the team at Landmark Software & Services.
We think you need these skills to ace Senior Machine Learning Geoscientist in Abingdon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in geoscience and machine learning. Emphasise your programming skills in Python and any specific ML frameworks you've worked with, such as TensorFlow or PyTorch.
Craft a Compelling Cover Letter:In your cover letter, express your passion for applying machine learning to geoscience challenges. Mention specific projects or experiences that demonstrate your expertise in subsurface datasets and collaboration in R&D environments.
Showcase Your Research Experience:If you have published papers or contributed to patents, be sure to mention these in your application. Highlight any innovative solutions you've developed in previous roles that align with the job's focus on AI/ML implementation.
Prepare for Technical Questions:Anticipate technical questions related to geoscience and machine learning during the interview process. Brush up on your knowledge of stratigraphy, sedimentology, and petroleum geology, as well as your experience with predictive modelling.
How to prepare for a job interview at Halliburton
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you've applied these skills, especially in relation to subsurface datasets.
✨Demonstrate Your Collaborative Spirit
Since the role involves working closely with colleagues from various disciplines, share examples of successful teamwork. Discuss how you’ve contributed to collaborative projects and how you value input from others.
✨Stay Updated on Industry Trends
Research recent advancements in AI/ML and geoscience before the interview. Being able to discuss current trends shows your passion for the field and your commitment to innovation.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about challenges you've encountered in previous roles and how you overcame them, particularly in geological interpretation.
