Expert Data Scientist

Entity:

Technology

Job Family Group:

IT&S Group

• Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation.
• Own end-to-end delivery of complex ML solutions — from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery.
• Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products.
• Bridge the gap between scientific research and enterprise deployment — taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value.
• Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines.
• Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams.
• Lead complex, multi-team technical initiatives and influence organisational direction through technical authority.
• Evaluate and integrate emerging approaches — including generative AI, Agentic AI, advanced optimisation, and scientific computing — into scalable solutions.
• Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities.
• Mentor senior engineers and data scientists, raising the technical bar across the subject area.
• Partner with business and scientific customers to shape ML strategy and identify high-value opportunities.
• Present technical strategies, architectural decisions, and outcomes to senior leadership.

Desired

Agility 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}

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Future 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.

We are seeking an exceptional Expert Data Scientist to serve as a technical leader and architect of machine learning systems across the organisation.

This 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.

A 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.

Please remember that the business title for this role, which will be reflected in the employment contract, is Staff Machine Learning Engineer.

Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027

At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.

There 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!

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.

Reinvent your career as you help our business meet the challenges of the future. Apply now!

Travel Requirement

Negligible travel should be expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working