Data Scientist - Fresh Graduate Opportunity (Omani Nationals)

About the role

The Forward Deployed Engineering (FDE) team is bp Upstream's embedded delivery capability, embedding AI-enabled data scientists and engineers directly into an operating region to solve real problems in days rather than quarters. As a Data Scientist, you will work alongside experienced data scientists and business customers to build and deliver data science and AI solutions to operational problems, taking ownership of defined workstreams from exploring live data and building models to helping users adopt them. This is a fresh graduate opportunity for Omani nationals.

Key responsibilities

• Work with business customers and senior team members to turn operational problems into clear, data-driven questions.
• Explore, clean and prepare live operational data, and build analyses, models and proofs of concept.
• Apply data science, machine learning and AI techniques to deliver measurable outcomes such as reduced costs, saved hours, improved safety and protected production.
• Take ownership of workstreams within a solution, with increasing autonomy, through development, iteration and adoption.
• Use AI tooling to speed up build and learning.
• Support business users in adopting solutions, explain results clearly and capture feedback to improve them.
• Follow good engineering, data science and AI governance practice, keeping work secure, documented and easy to hand over.

Required profile

• Hands-on experience in data science, machine learning or analytics (internships, placements, graduate schemes or postgraduate research).
• Degree in a quantitative field (computer science, statistics, mathematics, engineering, physics) or equivalent practical experience.
• Ability to communicate findings clearly to non-technical audiences and work with business stakeholders.
• Customer-centric, pragmatic mindset and willingness to take ownership; strong learning mindset.
• Nice to have: interest in or exposure to operational Upstream domains (production, operations, maintenance & reliability, wells, subsurface or procurement); energy industry experience.

Required skills

• Solid programming in Python (and/or R) and SQL, with model building and real-world data.
• Core statistics and machine learning methods.
• Nice to have: Palantir Foundry (Ontology, AIP), AI-assisted coding tools, cloud platforms, version control, basic MLOps, and NoSQL or relational data modelling.

Travel of up to 10% is expected; the role is hybrid office/remote and is not eligible for relocation assistance.