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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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Machine Learning Geoscientist Internship

Halliburton
Found 2 weeks ago
Location
Abingdon, United Kingdom
Time
Full-time
Work Mode
Not disclosed
Salary
competitive and commensurate with experience
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • relational databases
  • MSSQL
  • Postgres
  • spatial relationships
  • Postgis
  • ML frameworks
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Data analytical skills
  • databases

Soft Skills

  • A professional attitude
  • a willingness to learn
  • Comfortable working within a team
  • contributing to the geoscience and technological discussions within the company
  • Strong communication skills

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 * 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 expediating of workflows * Delivering technical presentations to colleagues * Ensuring standards and quality

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
  • Strong communication skills
  • 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

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Nice to Haves

  • Knowledge about geospatial data and techniques
  • working with subsurface datasets (e.g., wireline, seismic, biostratigraphy)
  • Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology
▶Apply Now

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