Data Scientist
Abingdon, United Kingdom
Overview
Under general supervision, provides technical assistance and analysis during planning and execution of Product Service Line (PSL) operations for customers, maintaining the highest levels of professionalism, safety and service quality. Works on value add projects through collaboration with both internal and external customers based on technical knowledge and developments to deliver solutions to meet their requirements and Halliburton's commercial expectations, considering both the price of the solution to the customer as well as the total cost to Halliburton to deliver it. Applies engineering, mechanical and geological principles to articulate more complex data interpretations to customers from proprietary software and collaborates with clients through the entire well cycle from drilling to completion scenarios independently. Actively completes training and competency assignments to pursue growth and development within the PSL career path and Halliburton organization. Fosters teamwork among all personnel involved in the performance of work activities, and supports the development of less experienced operators and/or technical personnel. Shares learning and advertises successes by writing, publishing and presenting case histories and industry papers (for example, Society of Petroleum Engineers-SPE).
- Full Time
- Level: Experienced
- Travel: Depends upon area
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Success Profile
What makes an Data Scientist successful at Halliburton? Do you have what it takes to be Recognized in Red? Check out the top traits we’re looking for and see if you qualify.
- Collaborative
- Problem-solver
- Communicator
- Team player
- Detail-oriented
- Safety-oriented
Our Culture
While acting as a driving force for innovation, our people, who are the heart of Halliburton, have earned a global reputation for inspiring excellence by ensuring access to affordable energy and a sustainable energy future –again and again. We define this by inspiring leadership, technical mastery and an unmatched ability to create incredible value while working together – at home and on distant horizons.
Safety comes first at Halliburton. The kind of people we need have a sense of integrity and appreciate a safety culture.
Benefits
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Healthcare
Benefit from our healthcare plans (offered in most areas).
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Vacation
Plan vacations or take a much-needed day off with our generous vacation plans.
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Retirement
Invest in your future through our workplace retirement plan.
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Development
Take advantage of continuous lifelong learning with formal development programs and more, available to all employees.
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Compensation
Get compensated for your experience with a competitive and desirable salary.
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Additional Benefits
Take advatange of additional benefits, including Life Insurance, Business Travel Protection, Access to Benefits Consultants, and our Global EAP program.
Data Scientist
Abingdon, England, United KingdomJob 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
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.
About the Role
We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data.
Key Responsibilities
- Develop robust Python pipelines for data manipulation using NLP and Foundation Models
- Apply geospatial libraries and techniques to subsurface geological datasets
- Implement secure coding practices and manage version control using Git
- Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure
- Optimize database performance and spatial queries using PostgreSQL/PostGIS
Required Qualifications
- Honors degree (2:1 or above) in data science or related field.
- Minimum of 2 years related work experience
Essential Skills
- Proficiency in Python, with a strong grasp of Python best practices
- Experience using Git for version control and collaboration
- Experience in use of ML, NLP and Foundation Models in ETL pipelines
- Knowledge of secure coding principles
- Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL
- Knowledge of PostgreSQL/PostGIS for spatial data management
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy)
- Ability to design, train, and evaluate supervised and unsupervised learning algorithms
- Experience working with large datasets, including data preprocessing
- Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset
- Self-motivated, detail-oriented, and capable of managing multiple task
Desirable Skills
- Knowledge of geological or subsurface data domains
- Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics
- Experience with containerization tools such as Docker and Kubernetes
- Familiarity with CI/CD pipelines for automated deployment
- Experience with database virtualisation, including DecisionSpace integration server
- Experience with data analysis applications from the Neftex Predictions portfolio
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:204366
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
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
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.
About the Role
We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data.
Key Responsibilities
- Develop robust Python pipelines for data manipulation using NLP and Foundation Models
- Apply geospatial libraries and techniques to subsurface geological datasets
- Implement secure coding practices and manage version control using Git
- Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure
- Optimize database performance and spatial queries using PostgreSQL/PostGIS
Required Qualifications
- Honors degree (2:1 or above) in data science or related field.
- Minimum of 2 years related work experience
Essential Skills
- Proficiency in Python, with a strong grasp of Python best practices
- Experience using Git for version control and collaboration
- Experience in use of ML, NLP and Foundation Models in ETL pipelines
- Knowledge of secure coding principles
- Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL
- Knowledge of PostgreSQL/PostGIS for spatial data management
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy)
- Ability to design, train, and evaluate supervised and unsupervised learning algorithms
- Experience working with large datasets, including data preprocessing
- Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset
- Self-motivated, detail-oriented, and capable of managing multiple task
Desirable Skills
- Knowledge of geological or subsurface data domains
- Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics
- Experience with containerization tools such as Docker and Kubernetes
- Familiarity with CI/CD pipelines for automated deployment
- Experience with database virtualisation, including DecisionSpace integration server
- Experience with data analysis applications from the Neftex Predictions portfolio
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:204366
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
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
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.
About the Role
We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data.
Key Responsibilities
- Develop robust Python pipelines for data manipulation using NLP and Foundation Models
- Apply geospatial libraries and techniques to subsurface geological datasets
- Implement secure coding practices and manage version control using Git
- Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure
- Optimize database performance and spatial queries using PostgreSQL/PostGIS
Required Qualifications
- Honors degree (2:1 or above) in data science or related field.
- Minimum of 2 years related work experience
Essential Skills
- Proficiency in Python, with a strong grasp of Python best practices
- Experience using Git for version control and collaboration
- Experience in use of ML, NLP and Foundation Models in ETL pipelines
- Knowledge of secure coding principles
- Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL
- Knowledge of PostgreSQL/PostGIS for spatial data management
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy)
- Ability to design, train, and evaluate supervised and unsupervised learning algorithms
- Experience working with large datasets, including data preprocessing
- Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset
- Self-motivated, detail-oriented, and capable of managing multiple task
Desirable Skills
- Knowledge of geological or subsurface data domains
- Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics
- Experience with containerization tools such as Docker and Kubernetes
- Familiarity with CI/CD pipelines for automated deployment
- Experience with database virtualisation, including DecisionSpace integration server
- Experience with data analysis applications from the Neftex Predictions portfolio
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:204366
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
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
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.
About the Role
We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data.
Key Responsibilities
- Develop robust Python pipelines for data manipulation using NLP and Foundation Models
- Apply geospatial libraries and techniques to subsurface geological datasets
- Implement secure coding practices and manage version control using Git
- Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure
- Optimize database performance and spatial queries using PostgreSQL/PostGIS
Required Qualifications
- Honors degree (2:1 or above) in data science or related field.
- Minimum of 2 years related work experience
Essential Skills
- Proficiency in Python, with a strong grasp of Python best practices
- Experience using Git for version control and collaboration
- Experience in use of ML, NLP and Foundation Models in ETL pipelines
- Knowledge of secure coding principles
- Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL
- Knowledge of PostgreSQL/PostGIS for spatial data management
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy)
- Ability to design, train, and evaluate supervised and unsupervised learning algorithms
- Experience working with large datasets, including data preprocessing
- Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset
- Self-motivated, detail-oriented, and capable of managing multiple task
Desirable Skills
- Knowledge of geological or subsurface data domains
- Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics
- Experience with containerization tools such as Docker and Kubernetes
- Familiarity with CI/CD pipelines for automated deployment
- Experience with database virtualisation, including DecisionSpace integration server
- Experience with data analysis applications from the Neftex Predictions portfolio
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:204366
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time: Full-time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
