This is a fresh graduate opportunity for Omani nationals looking to start their career in data science and AI.
What you’ll do
Work with business customers and senior team members in-region to understand operational problems and translate them into clear, data-driven questions.
Explore, clean and prepare live operational data, and build analyses, models and proofs-of-concept that answer those questions.
Apply data science, machine learning and AI techniques to deliver measurable outcomes — cost reduced, hours freed, safety improved, production protected.
Take ownership of defined workstreams within a solution, with increasing autonomy, through development, iteration and adoption.
Use AI tooling as a “virtual team member” to accelerate build and learning, compressing development time.
Support business users to adopt solutions, explaining results clearly and capturing feedback to improve what we build.
Follow good engineering, data science and AI governance practice, keeping work secure, well-documented and easy to hand over.
What you’ll bring (essential)
Hands-on experience in data science, machine learning or analytics (including internships, placements, graduate schemes or relevant postgraduate research).
A degree in a quantitative field (e.g. computer science, statistics, mathematics, engineering, physics) or equivalent practical experience.
Solid programming skills in Python (and/or R) and SQL, with experience building models and working with real-world data.
A grounding in core statistics and machine learning methods, and the curiosity to apply them to messy, practical problems.
The ability to communicate findings clearly to non-technical audiences and work collaboratively with business stakeholders.
A customer-centric, pragmatic mindset with a bias for delivering value and a willingness to take ownership.
A strong learning mindset — open to feedback, comfortable with ambiguity and keen to use AI tooling to accelerate delivery.
Nice to have
Experience with Palantir Foundry (Ontology, AIP) — helpful, but this will be built in role through the Foundry Fellowship and on-the-job coaching.
Experience with AI-assisted coding tools (e.g. Claude Code, Copilot).
Exposure to cloud platforms, version control and basic MLOps / productionisation practice.
Interest in, or exposure to, operational Upstream domains (production, operations, maintenance & reliability, wells, subsurface or procurement).
Experience energy industry is nice to have.
Why join us
You’ll learn by doing — embedded with the business, working on real problems with real users, and supported by experienced data scientists who’ll coach you as you grow. With AI tooling, the Foundry Fellowship and a supportive central team behind you, you’ll build your capability fast, take on more ownership quickly and see the value of your work land with the people who use it.
- Travel Requirement
- Up to 10% travel should be expected with this role
Relocation Assistance
This role is not eligible for relocation
Remote Type
This position is a hybrid of office/remote working
Skills
Cloud Platforms, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more} . 

Legal Disclaimer
We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.
