Senior AI Data Scientist

## Career Opportunity: Senior AI Data Scientist - Subsurface Team

This presents an exciting opportunity for experienced data scientists to contribute to a global leader in the energy industry. If you are driven by innovation, eager to achieve significant impact, and aspire to lead in a dynamic field, this role is designed for you. The company is committed to attracting and retaining top talent by investing in employee development and career growth, offering a chance to experience the unique challenges, rewards, and extensive opportunities that come with working for one of the world's largest providers of products and services to the global energy sector.

We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team. Based in our Abingdon office in Oxfordshire, this role offers a unique platform to apply advanced data science techniques to complex geological and geospatial challenges. You will play a pivotal role in unlocking crucial insights from intricate subsurface data, directly contributing to strategic decision-making and operational advancements.

Key Responsibilities and Advantages for Candidates:

• Collaborate with Experts: Work alongside experienced geoscientists and engineers, offering a fantastic opportunity to gain cross-domain knowledge and understand real-world industry challenges. This collaboration will enhance your problem-solving skills and broaden your technical perspective.
• Develop Robust Data Pipelines: Design and implement sophisticated Python pipelines for data manipulation. This is a chance to hone your scripting abilities, ensuring efficiency and scalability in your data processing workflows.
• Embrace Secure and Modern Development Practices: Implement secure coding practices and leverage Git for version control. This will build your expertise in professional software development, a critical skill for any advanced technical role.
• Leverage Cloud Technologies: Utilize leading cloud platforms like AWS and Azure to scale data workflows and manage infrastructure. Gaining hands-on experience with these industry-standard cloud services will significantly enhance your marketability.
• Optimize Spatial Data Management: Enhance your skills in optimizing database performance and executing complex spatial queries using PostgreSQL/PostGIS. This specialization in geospatial data is highly valuable in many sectors.
• Champion Best Practices and Mentorship: Act as a champion for Python best practices within the team and support the development of junior team members. This leadership aspect of the role offers invaluable experience in team guidance and knowledge sharing.

What We're Looking For (Required Qualifications & Skills):

• An Honors degree (2:1 or above) in Data Science, AI, or a related field is essential.
• A minimum of 10 years of relevant work experience.
• Proficiency in Python with a strong commitment to best practices.
• Experience using Git for version control and collaboration.
• Solid understanding of secure coding principles.
• Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL.
• Advanced knowledge of PostgreSQL/PostGIS for spatial data management.
• Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML).
• Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics.
• 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.
• Strong teamwork and interpersonal skills, with a collaborative and agile mindset.
• Proven ability to work within agile development environments.
• A self-motivated, detail-oriented individual capable of managing multiple tasks effectively.

Desirable Skills to Elevate Your Application:

• Knowledge of geological or subsurface data domains.
• Experience with containerization tools such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines for automated deployment.
• Understanding of data governance and compliance in scientific environments.
• Experience with database virtualization, including DecisionSpace integration server.
• Experience with data analysis applications from the Neftex Predictions portfolio.

This role offers a competitive compensation package commensurate with experience, reflecting the seniority and impact expected of this position. If you are ready to leverage your data science expertise in a challenging and rewarding environment, shaping the future of the energy industry, we encourage you to explore this outstanding opportunity.