{"id":1834369,"url":"https://alion.io/job/bp-expert-data-scientist","title":"Expert 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":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunbury-on-Thames, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":103000,"max_usd":189000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Hadoop","optional":false},{"name":"Interpretability","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-09T01:27:40Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Entity:\nTechnologyJob Family Group:\nIT&S GroupJob Description:\nEqual Opportunity Employer\nbp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.\nWe are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know.\nRole Summary\nWe are seeking an exceptional Expert Data Scientist to serve as a technical leader and architect of machine learning systems across the organisation.\nThis is the highest individual contributor tier within the field - a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions.\nA core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products - bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains.\nKey Responsibilities\nProvide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation.\nOwn end-to-end delivery of complex ML solutions - from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery.\nApply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products.\nBridge the gap between scientific research and enterprise deployment - taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value.\nDrive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines.\nDefine technical standards, patterns, and protocols for ML engineering and applied ML science across teams.\nLead complex, multi-team technical initiatives and influence organisational direction through technical authority.\nEvaluate and integrate emerging approaches - including generative AI, Agentic AI, advanced optimisation, and scientific computing - into scalable solutions.\nSupply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities.\nMentor senior engineers and data scientists, raising the technical bar across the subject area.\nPartner with business and scientific customers to shape ML strategy and identify high-value opportunities.\nPresent technical strategies, architectural decisions, and outcomes to senior leadership.\nQualifications\nEssential\nMSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area).\nHands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments.\nDeep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing - with a consistent record of applying these to deliver production-grade products.\nStrong software engineering and system design expertise, including distributed systems, scalable architectures, and API design.\nAdvanced programming experience in languages such as Python, Go, Java, or C++.\nAdvanced SQL knowledge.\nStrong experience with MLOps, production ML systems, model lifecycle management, and monitoring.\nExperience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop).\nKnowledge of experimental design, scientific methodology, and analysis.\nStrong partner management and confirmed ability to influence large organisations without direct authority.\nDemonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes.\nContinuous learning and improvement approach.\nDesired\nDeep experience in applied machine learning science - including developing novel algorithms and translating research into deployable, production-grade ML products.\nExperience applying AI/ML to scientific, engineering, or R&D workflows - encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows.\nStrong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production.\nExperience designing or deploying Agentic AI systems - including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery.\nConsistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI.\nExperience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams.\nFamiliarity with model interpretability, uncertainty quantification, and advanced experimental frameworks.\nNo prior experience in the energy industry required.\nWhat We Offer\nCompetitive compensation and benefits package.\nOpportunity to lead and shape the future of ML and AI at one of the world's largest energy companies.\nA culture that values scientific difficulty, engineering excellence, and continuous learning.\nHybrid working arrangements and a commitment to work-life balance.\nCareer development pathways in a world-class technology organisation.\nPlease remember that the business title for this role, which will be reflected in the employment contract, is StaffMachine Learning Engineer.\nPlease note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027\nWhy join us?\nAt bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.\nThere are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others!\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.\nReinvent your career as you help our business meet the challenges of the future. Apply now!\nTravel Requirement\nNegligible 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:\nAgility core practices, Agility core practices, API and platform design, 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 {+ 7 more}.\nFuture Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. 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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