Senior AI Data Scientist

TL;DR

Senior AI Data Scientist (AI/Geospatial): Applying advanced data science techniques to geological and geospatial challenges with an accent on Python pipelines, cloud platforms (AWS/Azure), and database optimization. Focus on developing and deploying AI models across domains like NLP, computer vision, and predictive analytics.

Location: Onsite at the Abingdon office in Oxfordshire, United Kingdom

Company

hirify.global is one of the world’s largest providers of products and services to the global energy industry.

What you will do

• Collaborate with geoscientists and engineers to understand requirements and design effective solutions.
• Develop robust Python pipelines for data manipulation.
• 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.
• Champion Python best practices across the team and support the development of junior team members.

Requirements

• Minimum of 10 years related work experience and an Honors degree (2:1 or above) in data science/AI or related field.
• Proficiency in Python (best practices, Git, secure coding) and expertise in geospatial libraries (GeoPandas, Shapely, GDAL).
• Advanced knowledge of PostgreSQL/PostGIS for spatial data management and experience with AWS/Azure platforms, including AI services (SageMaker, Azure ML).
• Proven experience developing and deploying AI models (NLP, computer vision, predictive analytics), and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Ability to design, train, and evaluate supervised/unsupervised learning algorithms and work within agile development environments.
• English: B2 required.

Nice to have

• Postgraduate qualification in AI or related field.
• 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 virtualisation, including DecisionSpace integration server and data analysis applications from the Neftex Predictions portfolio.

Culture & Benefits

• Opportunity to innovate, achieve, grow and lead.
• Investment in employees for development and career growth.
• Collaborative and agile mindset within the team.
• Competitive compensation commensurate with experience.