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- Tasks: Apply cutting-edge machine learning to solve 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 advanced technology and make a real impact.
- Qualifications: Honours degree in geoscience, strong Python skills, and experience with ML frameworks.
- Other info: Dynamic team atmosphere with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ 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 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.
- Honors degree (2:1 or above) and postgraduate qualification in geoscience.
- Minimum of 4 years related work experience, or completion of a PhD.
- 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.
- 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: 204376
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 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 in Abingdon
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to geoscience and machine learning. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving AI/ML in geoscience. Share it on platforms like GitHub or LinkedIn. This is your chance to demonstrate your expertise and passion!
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and ML frameworks. Practice explaining your past projects clearly and confidently. Remember, they want to see how you think and solve problems!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace 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. We want to see how your skills align with the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applying machine learning to geoscience. Let us know what excites you about this role and how you can contribute to our team.
Showcase Your Technical Skills: Since we’re looking for strong Python programming skills and experience with ML frameworks, make sure to mention any relevant projects or experiences. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Halliburton Energy Services
✨Know Your Geoscience Inside Out
Make sure you brush up on your knowledge of stratigraphy, sedimentology, and petroleum geology. Be ready to discuss how your understanding of these domains can be applied to machine learning in geoscience. This will show that you're not just a tech whiz but also have the geological expertise needed for the role.
✨Show Off Your Python Skills
Prepare to demonstrate your programming prowess in Python, especially with ML frameworks like TensorFlow or PyTorch. You might be asked to solve a problem on the spot, so practice coding challenges related to data manipulation and model implementation beforehand.
✨Communicate Clearly and Confidently
Since excellent communication is key in this role, practice explaining complex concepts in simple terms. Think about how you would describe your past projects to someone without a technical background. This will help you connect with your interviewers and showcase your teamwork skills.
✨Stay Current with Industry Trends
Research the latest advancements in AI/ML and geoscience. Be prepared to discuss recent publications or breakthroughs that excite you. This shows your passion for innovation and your commitment to staying at the forefront of the field, which is exactly what they’re looking for.
