At a Glance
- Tasks: Apply coding and machine learning to enhance geological assessments and automate workflows.
- Company: Join Halliburton, a global leader in energy products and services.
- Benefits: Gain hands-on experience, mentorship, and career development opportunities.
- Other info: Collaborative team environment with a focus on innovation and growth.
- Why this job: Make an impact in geoscience while working with cutting-edge technology.
- Qualifications: Pursuing a degree in Geoscience or Data Science with Python proficiency.
The predicted salary is between 20000 - 30000 £ 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:
- Entry level for professional work.
- Performs assignments designed to develop professional or technical work knowledge and abilities requiring application of standard techniques, procedures, and criteria in carrying out a sequence of related tasks.
- Limited exercise of judgment is required on details of work and in making preliminary selections and adaptations of alternatives.
- This classification is used for employees performing a designated function for an identified duration.
- Applying coding and machine learning techniques to support development of tools for geological assessments.
- Automation and expediting of workflows.
- Delivering technical presentations to colleagues.
- Ensuring standards and quality.
Qualifications:
- May include continuing education.
- An honours degree (2:1+) in Geoscience and working towards a postgraduate degree preferably MSc level in Geology or Data Science.
Role Requirements:
- Proficient in Python.
- Knowledge in relational databases (MSSQL/Postgres) including spatial relationships (Postgis plug-in).
- Ability with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Data analytical skills and knowledge of databases.
- A professional attitude and a willingness to learn.
- Comfortable working within a team and contributing to the geoscience and technological discussions within the company.
- Knowledge about geospatial data and techniques and of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy).
- Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
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.
Abingdon _Geology or Data science Intern employer: Halliburton Energy Services
At Halliburton, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and professional growth. Located in the vibrant area of Abingdon, our internship programme provides invaluable hands-on experience in the energy sector, alongside opportunities for mentorship and skill development in cutting-edge technologies. Join us to be part of a diverse team that values collaboration and empowers you to make a meaningful impact in your field.
Contact Details:
Halliburton Energy Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Abingdon _Geology or Data science Intern
✨Tip Number 1
Network like a pro! Reach out to professionals in the geology and data science 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
Prepare for those interviews! Research the company and its projects, especially in geoscience and technology. We recommend practising common interview questions and even doing mock interviews with friends or mentors. Confidence is key, so let your passion for geology and data science shine through!
✨Tip Number 3
Showcase your skills! Create a portfolio of your projects, especially those involving Python, machine learning, or geospatial data. We love seeing practical applications of your knowledge, so make sure to highlight any relevant coursework or personal projects when you get the chance.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for fresh talent who are eager to innovate and grow. Don’t miss out on the opportunity to join us at Halliburton!
We think you need these skills to ace Abingdon _Geology or Data science Intern
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Geology or Data Science role. Highlight relevant skills like Python proficiency and any experience with machine learning frameworks. We want to see how your background fits with what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about geoscience and data science. Share specific examples of projects or experiences that showcase your skills and enthusiasm for the field.
Show Off Your Technical Skills:Don’t forget to mention your technical skills, especially in Python and database management. If you’ve worked with geospatial data or have experience in machine learning, make sure to highlight that. We love seeing candidates who are technically savvy!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Halliburton Energy Services
✨Know Your Stuff
Make sure you brush up on your knowledge of geoscience and data science. Be ready to discuss your understanding of Python, machine learning frameworks, and relational databases. They’ll likely ask you about specific techniques or projects you've worked on, so have some examples in mind.
✨Show Your Passion
Let your enthusiasm for geology and data science shine through. Talk about why you're interested in the field and how you see yourself contributing to the team. Companies love candidates who are genuinely excited about their work!
✨Prepare for Technical Questions
Expect some technical questions related to coding and data analysis. Practice coding problems in Python and be ready to explain your thought process. If you can demonstrate your problem-solving skills, it’ll set you apart from other candidates.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or the company’s approach to innovation in geoscience. This shows that you’re engaged and serious about the opportunity.
