{"id":2555385,"url":"https://alion.io/job/bp-senior-data-scientist-5","title":"Senior 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":"B","score":83,"open_postings":20,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-14T06:34:16Z"}},"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":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":234000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":5,"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":"Go","optional":false},{"name":"Hadoop","optional":false},{"name":"Interpretability","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","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":"2026-10-14T19:01:05Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T23:30:46Z","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 us\nOur purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fueled by world-class insight and expertise. We’re always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. Together we continue to grow as the world’s leading energy company!\nRole Summary\nWe are looking for a Senior Machine Learning Engineer who combines deep machine learning expertise with strong software engineering discipline to design, build, and deploy production-grade ML and AI systems.\nThis role goes beyond traditional ML engineering. You will apply machine learning science as a core discipline - developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether it's advancing NLP, optimisation, simulation, or generative AI, you will deliver solutions that transition seamlessly from research to production and create measurable value.\nYou will work as part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain experts - translating complex scientific and business problems into deployable ML products.\nKey Responsibilities\nDesign, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability).\nApply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products - not limited to experimentation but extending through to production delivery and operational use.\nBuild impactful ML products leveraging statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains.\nTranslate complex scientific and business problems into well-scoped ML solutions, delivering actionable insights and deployable capabilities.\nArchitect and optimise ML systems for performance, scalability, and reliability in production environments.\nCollaborate closely with data scientists, data engineers, software engineers, and domain experts as part of cross-disciplinary teams.\nAdhere to and advocate for engineering and data science guidelines (technical design, design reviews, unit testing, monitoring & alerting, code reviews, documentation).\nPresent technical results, trade-offs, and product outcomes to peers and senior interested parties.\nActively contribute to improving developer velocity, engineering standards, and shared tooling.\nMentor junior team members and contribute to the technical growth of the wider team.\nQualifications\nEssential\nMSc or PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related discipline).\nHands-on experience (typically 5+ years) designing, prototyping, productionizing, maintaining, and scaling ML/data science products in sophisticated environments.\nStrong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques - with a track record of applying these to build production-grade solutions.\nApplied knowledge of data science and ML tools across all stages of the data and model lifecycle.\nThorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing.\nStrong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++).\nAdvanced SQL knowledge.\nExperience with modern ML engineering practices including MLOps, model lifecycle management, CI/CD, and monitoring.\nKnowledge of experimental design, analysis, and scientific methodology.\nCustomer-centric and pragmatic mentality with a focus on value delivery and swift execution, while maintaining rigour and attention to detail.\nStrong stakeholder management and ability to influence across teams and organisations.\nContinuous learning and improvement mindset.\nDesired\nExperience with big data technologies (e.g. Hadoop, Hive, Spark).\nExperience with generative AI, LLMs, or retrieval-augmented generation (RAG).\nExposure to Agentic AI concepts, including autonomous agents, tool use, and orchestration frameworks.\nExperience applying machine learning and AI to scientific or R&D workflows - with emphasis on building deployable ML products from scientific research (e.g. simulation, optimisation, physics-informed models).\nFamiliarity with model interpretability, uncertainty quantification, and advanced experimental methodologies.\nProven record of publications, invention disclosures (IDFs), or patents in machine learning or AI.\nNo prior experience in the energy industry required.\nWhat We Offer\nCompetitive compensation and benefits package.\nOpportunity to work on cutting-edge ML and AI problems at global scale.\nA culture that values scientific rigour, engineering excellence, and continuous learning.\nHybrid working arrangements and a commitment to work-life balance.\nCareer development pathways in a world-class technology organisation.\nEqual Opportunity Employer\nbp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are essential 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 kn\nWhy join bp:\nAt bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to encouraging an inclusive environment in which everyone is respected and treated fairly.\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, and excellent retirement benefits, among others!\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:\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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