Job Monitor / Oil & Gas

Senior Data Scientist

BP · United States · Posted Jun 26, 2026

Company BP Location BR: Sao Paulo - BTC Technology, United States Employment type Full-time Posted Jun 26, 2026 Listed via BP
Entity: Technology Job Family Group: IT&S Group Job Description: We’re looking for Data Scientists who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but also grounded in disciplined engineering principles. Our AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior Data Scientist, you’ll play a critical role in building and deploying scalable AI-powered applications through solid analytical expertise and software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned data scientists who are excited about applying AI in practical and scalable ways. We’re looking for individuals who thrive at the intersection of disciplined machine learning, software development, and modern AI applications. You should be comfortable working across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership attitude, and the ability to ship value fast are essential. Job Responsibilities Design and develop, LLM based and classical ML models into production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in multi-functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Collaborate with data engineers, product managers, and other data scientists to ensure end-to-end delivery and reliability of AI products. Stay current with emerging AI techniques, models, and technologies, but prioritize practical application and delivery over experimental research. Contribute to the internal knowledge base, tooling libraries, and documentation to scale data science best practices across the organization. Job Qualifications 5+ years of professional data science experience; ability to independently design and ship complex systems in production. Deep experience with both classical ML models (e.g. Regression, forecasting, and basic neural networks) as well as hands on experience using large language models. Strong programming skills in Python (preferred), Java, or similar languages. Strong problem-solving skills and the ability to balance scientific rigor with delivery speed. Hands on experience with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.). Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices. Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools teams. Prior experience working in an embedded (forward-deployed) team model with business stakeholders. · Experience building production grade, reliable AI applications Why join us At bp, we support our people to learn and grow in a diverse and high-reaching environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. We 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. Travel Requirement No travel is 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
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