Senior Data Scientist

Job Description

Our 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, fuelled 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.

We are looking for a Senior Data Scientist to work on some of the important challenges bp is facing today. We work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net‑zero agenda, leveraging tools ranging from computer vision to time‑series forecasting. Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world!

All without compromising our operational risk management.

• Deploying our integrated capability and standards in service of our net zero and safety ambitions
• Driving our digital transformation and pioneering new business models
• Collaborating to deliver competitive customer‑focused energy solutions.
• Originating, scaling and commercializing innovative ideas, and creating ground‑breaking new businesses from them
• Protecting us by assuring management of our greatest physical and digital risks

• Originators, builders, guardians and disruptors
• Engineers, technologists, scientists and entrepreneurs
• Empathetic, curious, creative and inclusive

• Part of a cross‑disciplinary team, working closely with other data scientists, data engineers, software engineers, data managers and business partners.
• Build scalable, re‑usable, impactful products, usually containing statistical or machine‑learning algorithms, in collaboration with data engineers and software engineers.
• Carry out data analyses to yield actionable business insights.
• Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
• Present results to peers and senior management.
• Actively contribute to improve developer velocity.
• Mentor others.

• Hands‑on experience designing, planning, prototyping, product ionising, maintaining and documenting reliable and scalable data science products in complex environments.
• Applied knowledge of data science tools and approaches across all data lifecycle stages.
• Thorough understanding of underlying mathematical foundations of statistics and machine‑learning.
• Development experience in one or more object‑oriented programming languages (e.g. Python, Go, Java, C++)
• Advanced SQL knowledge.
• Experience with data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
• Knowledge of experimental design and analysis is a plus.
• Customer‑centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
• Strong partner management and ability to lead large organisations through influence.
• Continuous learning and improvement attitude.
• MSc or PhD degree in a quantitative field.
• No prior experience in the energy industry required.

At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work‑life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others.

We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.

There are many aspects of our employees' lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and other benefits.

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