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- Tasks: Apply cutting-edge machine learning to geoscience challenges and innovate subsurface interpretation.
- Company: Join Halliburton, a global leader in energy products and services.
- Benefits: Competitive salary, career development, and a collaborative work environment.
- Why this job: Shape the future of geoscience with innovative technology and make a real impact.
- Qualifications: Honours degree in geoscience and strong Python programming skills required.
- Other info: Dynamic team atmosphere with opportunities for growth and innovation.
The predicted salary is between 28800 - 48000 £ 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.
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.
- Honors degree (2:1 or above) in 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.
- 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.
- 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.
- 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
Requisition Number: 204383
Experience Level: Entry-Level
Job Family: Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time: Full Time
Compensation Information: Compensation is competitive and commensurate with experience.
Machine Learning Geoscientist - Jr in Abingdon employer: Halliburton Energy Services
Contact Detail:
Halliburton Energy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Geoscientist - Jr in Abingdon
✨Tip Number 1
Network like a pro! Reach out to professionals in the geoscience and machine learning fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML in geoscience. Whether it's GitHub repos or a personal website, let your work speak for itself. We love seeing practical applications of your knowledge!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to machine learning and geoscience. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to innovate and grow with us. Don’t miss out on the chance to join our amazing team!
We think you need these skills to ace Machine Learning Geoscientist - Jr in Abingdon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your geoscience background, machine learning expertise, and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for geoscience and machine learning. Share specific examples of how you've applied these skills in past roles. Remember, we love seeing enthusiasm and creativity!
Showcase Your Projects: If you've worked on any relevant projects, whether in school or at work, make sure to mention them. Include details about the technologies you used, like Python or ML frameworks, and the impact your work had. This helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Landmark Software & Services!
How to prepare for a job interview at Halliburton Energy Services
✨Know Your Geoscience Stuff
Make sure you brush up on your knowledge of stratigraphy, sedimentology, and petroleum geology. Be ready to discuss how your understanding of these areas can apply to machine learning in geoscience. It’s all about showing that you can connect the dots between theory and practical application.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to talk about your experience with ML frameworks like TensorFlow or PyTorch. Maybe even bring along a project or two that showcases your coding prowess and how you've implemented AI/ML algorithms in real-world scenarios.
✨Communicate Like a Pro
Excellent communication is key, especially in a collaborative R&D environment. Practice explaining complex concepts in simple terms, as you might need to communicate with technical clients. Think about examples where you’ve successfully worked in a team and how you contributed to the group’s success.
✨Stay Current and Curious
The field of AI/ML and geoscience is always evolving, so show your enthusiasm for staying updated on the latest advancements. Mention any recent articles, papers, or conferences you’ve engaged with. This demonstrates your commitment to innovation and continuous learning, which is exactly what they’re looking for!