{"id":3965250,"url":"https://alion.io/job/bp-data-scientist-2","title":"Data Scientist","company":{"id":2557,"name":"BP","domain":"bp.com","url":"https://alion.io/company/bp-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":37,"ghost_share":0,"stale_share":0.243,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Muscat, Oman"],"countries":["OM"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true}],"status":"live","first_seen_at":"2026-11-09T13:45:16Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T13:45:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Entity:\nTechnologyJob Family Group:\nIT&S GroupJob Description:\nAbout the team\nThe 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.\nThe role\nAs 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.\nThis is a fresh graduate opportunity for Omani nationals looking to start their career in data science and AI.\nWhat you’ll do\nWork with business customers and senior team members in-region to understand operational problems and translate them into clear, data-driven questions. \nExplore, clean and prepare live operational data, and build analyses, models and proofs-of-concept that answer those questions. \nApply data science, machine learning and AI techniques to deliver measurable outcomes - cost reduced, hours freed, safety improved, production protected. \nTake ownership of defined workstreams within a solution, with increasing autonomy, through development, iteration and adoption. \nUse AI tooling as a “virtual team member” to accelerate build and learning, compressing development time. \nSupport business users to adopt solutions, explaining results clearly and capturing feedback to improve what we build. \nFollow good engineering, data science and AI governance practice, keeping work secure, well-documented and easy to hand over. \nWhat you’ll bring (essential)\nHands-on experience in data science, machine learning or analytics (including internships, placements, graduate schemes or relevant postgraduate research). \nA degree in a quantitative field (e.g. computer science, statistics, mathematics, engineering, physics) or equivalent practical experience. \nSolid programming skills in Python (and/or R) and SQL, with experience building models and working with real-world data. \nA grounding in core statistics and machine learning methods, and the curiosity to apply them to messy, practical problems. \nThe ability to communicate findings clearly to non-technical audiences and work collaboratively with business stakeholders. \nA customer-centric, pragmatic mindset with a bias for delivering value and a willingness to take ownership. \nA strong learning mindset - open to feedback, comfortable with ambiguity and keen to use AI tooling to accelerate delivery. \nNice to have\nExperience with Palantir Foundry (Ontology, AIP) - helpful, but this will be built in role through the Foundry Fellowship and on-the-job coaching. \nExperience with AI-assisted coding tools (e.g. Claude Code, Copilot). \nExposure to cloud platforms, version control and basic MLOps / productionisation practice. \nInterest in, or exposure to, operational Upstream domains (production, operations, maintenance & reliability, wells, subsurface or procurement). \nExperience energy industry is nice to have. \nWhy join us\nYou’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.\nTravel Requirement\nUp to 10% travel should be expected with this roleRelocation Assistance:\nThis role is not eligible for relocationRemote Type:\nThis position is a hybrid of office/remote workingSkills:\nCloud 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}.\n\n Legal Disclaimer:\nWe 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. Individualswith an accessibility need may request an adjustment/accommodationrelated 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/accommodationrelated to the recruitment process, please contact us.\nIf you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. 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