About the team
The Forward Deployed Engineering (FDE) team is bp Upstream’s embedded delivery capability. We forward-deploy AI-enabled data scientists and engineers directly into an operating region, working shoulder-to-shoulder with the business to solve real problems in days, not quarters — and to validate the value before investment is committed. Each team member owns solutions end-to-end (the person who frames the problem is the person who ships and sustains it), builds deep domain knowledge in-region, and works alongside AI tooling to punch far beyond the weight of a small team. It is a federated model: centrally governed, locally executed, and AI-enabled by design.
The role
As a Data Scientist in the FDE team, you are embedded with one of bp’s Upstream operating regions, working alongside experienced data scientists and business customers to build and deliver data science and AI solutions to real operational problems. You’ll take ownership of well-defined pieces of work — from exploring live data and building models through to helping users adopt what you’ve built — and grow quickly into owning solutions end-to-end. With AI tooling, the Foundry Fellowship and hands-on coaching behind you, this is a role for someone who wants to learn fast, ship real things and see their work make a difference. Put simply, your job is to help turn data into decisions.
This is a fresh graduate opportunity for Omani nationals looking to start their career in data science and AI.
What you’ll do
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Work with business customers and senior team members in-region to understand operational problems and translate them into clear, data-driven questions.
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Explore, clean and prepare live operational data, and build analyses, models and proofs-of-concept that answer those questions.
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Apply data science, machine learning and AI techniques to deliver measurable outcomes — cost reduced, hours freed, safety improved, production protected.
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Take ownership of defined workstreams within a solution, with increasing autonomy, through development, iteration and adoption.
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Use AI tooling as a “virtual team member” to accelerate build and learning, compressing development time.
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Support business users to adopt solutions, explaining results clearly and capturing feedback to improve what we build.
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Follow good engineering, data science and AI governance practice, keeping work secure, well-documented and easy to hand over.
What you’ll bring (essential)
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Hands-on experience in data science, machine learning or analytics (including internships, placements, graduate schemes or relevant postgraduate research).
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A degree in a quantitative field (e.g. computer science, statistics, mathematics, engineering, physics) or equivalent practical experience.
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Solid programming skills in Python (and/or R) and SQL, with experience building models and working with real-world data.
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A grounding in core statistics and machine learning methods, and the curiosity to apply them to messy, practical problems.
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The ability to communicate findings clearly to non-technical audiences and work collaboratively with business stakeholders.
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A customer-centric, pragmatic mindset with a bias for delivering value and a willingness to take ownership.
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A strong learning mindset — open to feedback, comfortable with ambiguity and keen to use AI tooling to accelerate delivery.
Nice to have
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Experience with Palantir Foundry (Ontology, AIP) — helpful, but this will be built in role through the Foundry Fellowship and on-the-job coaching.
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Experience with AI-assisted coding tools (e.g. Claude Code, Copilot).
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Exposure to cloud platforms, version control and basic MLOps / productionisation practice.
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Interest in, or exposure to, operational Upstream domains (production, operations, maintenance & reliability, wells, subsurface or procurement).
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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.
