Senior Data Scientist

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.

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 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 Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}

Legal Disclaimer:

We 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. Individuals with an accessibility need may request an adjustment/accommodation related 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/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.