Data Scientist

## Opportunity Alert: Data Scientist, Subsurface Team (Abingdon, Oxfordshire) Are you a driven Data Scientist eager to make a tangible impact within the global energy industry? This exciting opportunity within a leading provider of products and services to the energy sector offers a unique platform for innovation, growth, and leadership. If you're passionate about leveraging advanced data science techniques to solve complex geological and geospatial challenges, this role could be the perfect next step in your career.

This position, based in our Abingdon office, provides a compelling environment for individuals who thrive on tackling intricate datasets and developing groundbreaking solutions. The company's commitment to investing in its employees and empowering career development suggests a supportive and growth-oriented workplace.

This role presents several key advantages for candidates looking to advance their careers:

• Cutting-Edge Technology & Application: You'll have the opportunity to apply advanced data science techniques, including NLP and Foundation Models, to real-world geological and geospatial challenges. This hands-on experience with complex subsurface data is invaluable.
• Robust Technical Skill Development: The role emphasizes the development of strong technical competencies, including:
  • Building sophisticated Python pipelines for data manipulation.
  • Applying geospatial libraries and techniques to analyze subsurface geological datasets.
  • Working with leading cloud platforms like AWS and Azure, enabling you to scale data workflows and manage infrastructure.
  • Optimizing database performance and spatial queries using PostgreSQL/PostGIS.
• Impactful Industry Exposure: Working for one of the world's largest providers in the global energy industry offers exposure to high-stakes projects and the opportunity to contribute to significant industry advancements.
• Career Growth and Development: The company's stated commitment to attracting and retaining top talent through investment in employees and career development indicates a strong focus on your professional journey.
• Collaborative Environment: The emphasis on strong teamwork, interpersonal skills, and an agile mindset suggests a collaborative and dynamic work environment.

To help you assess if this role aligns with your career aspirations, here are some key considerations:

• Core Technical Foundation: A strong foundation in Python, with a deep understanding of best practices, is essential. Proficiency with Git for version control and experience in applying ML, NLP, and Foundation Models within ETL pipelines are critical.
• Data Management & Spatial Analysis: Familiarity with geospatial libraries (e.g., GeoPandas, Shapely, GDAL) and robust experience with PostgreSQL/PostGIS for spatial data management will be highly beneficial.
• Machine Learning Expertise: Demonstrated ability to design, train, and evaluate both supervised and unsupervised learning algorithms is a must. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn will be advantageous.
• Cloud and Infrastructure Acumen: Experience with cloud platforms like AWS and Azure is expected, as is an understanding of secure coding principles.
• Domain Interest: While not strictly required, a knowledge of geological or subsurface data domains would be a significant asset, allowing you to more readily understand and tackle the specific challenges of the role.
• Communication and Collaboration: Excellent written and verbal English communication skills are vital for conveying complex ideas clearly. Strong teamwork and interpersonal skills are also crucial for success in this collaborative setting.
• Autonomy and Drive: The role requires a self-motivated individual who is detail-oriented and capable of managing multiple tasks effectively.
• Desirable Skills for Enhanced Impact: While not mandatory, developing skills in areas like containerization (Docker, Kubernetes), CI/CD pipelines, and specific industry data analysis applications could further enhance your contribution and career trajectory within the company.

This Data Scientist position offers a compelling opportunity for individuals seeking to apply their skills in a challenging and rewarding environment within the vital energy sector. By focusing on developing your expertise in the core technical requirements and demonstrating your passion for innovation, you can position yourself for significant career growth.