Senior data scientist

Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!, * 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 data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
• Deep knowledge of forecasting and optimization methods and algorithms is a must for e.g. industry and production experience with - Linear, Logistic, Lasso, Ridge, GAM and other ML algorithms.
• Reasonable understanding of Financial, energy or commodity markets would be essential for performing the role.
• Using Claude or general GEN AI Tools and understanding how to work with LLMs to deliver analysis or engineer AI products is a must
• Carry out data analyses to yield actionable business insights.
• Adhere to and advocate for data science procedures (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.

Essential

• MSc or PhD degree in a quantitative field.
• Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, 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.
• Knowledge of experimental design and analysis.
• Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail.
• Strong partner management and ability to lead large organizations through influence.
• Continuous learning and improvement perspective.

Desired

• Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
• No prior experience in the energy industry required., 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 Modeling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development, Solution Architecture, Source control and code management {+ 5 more}

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!