Senior Data Scientist

BP; Greater London; Hybrid; GBP 59,000 - 99,000; Full time

Benefits offered by this job

Flexible working options

Paid parental leave

Retirement benefits

Job summary

BP in London is seeking a Senior Data Scientist to design, prototype, productionize, and maintain scalable data science products within a cross-disciplinary IT&S team. The role emphasizes actionable insights, rigorous data science practices, and collaboration with engineers and business partners.

You will work on forecasting, optimization methods, and AI-enabled analysis, applying deep statistical and ML knowledge.

Qualifications

• MSc or PhD in a quantitative field.
• Typically 5+ years of hands-on experience designing, planning, prototyping, productionizing, maintaining, and documenting reliable data science products.
• Applied knowledge of data science tools and approaches across all data lifecycle stages.
• Thorough understanding of the mathematical foundations of statistics and machine learning.
• Development experience in Python, Go, Java, or C++.
• Advanced SQL knowledge.
• Knowledge of experimental design and analysis.
• Deep knowledge of forecasting and optimization methods and algorithms.
• Experience with large language models and AI tools.
• Strong partner management skills and ability to lead large organizations through influence.

Responsibilities

• Work as part of a cross-disciplinary team with data scientists, data engineers, software engineers, data managers, and business partners.
• Build scalable, reusable data science products containing statistical or ML algorithms in collaboration with data and software engineers.
• Carry out data analyses to produce actionable business insights.
• Follow and advocate for data science procedures including design reviews, unit testing, monitoring, and documentation.
• Present results to peers and senior management.
• Contribute to improving developer velocity.
• Mentor others.

Skills

Customer-centric

Mentoring

Leadership

Education

MSc or PhD in a quantitative field

Tools

Python

Go

Java

C++

SQL

Hadoop

Hive

Spark

NoSQL

Cloud

Machine Learning

Job description

Salary: £59,000 - 99,000 per year

Requirements:

• MSc or PhD degree in a quantitative field.
• Typically 5+ years of hands-on experience designing, planning, prototyping, productionizing, maintaining, and documenting reliable, scalable data science products in complex environments.
• Applied knowledge of data science tools and approaches across all data lifecycle stages.
• Thorough understanding of the mathematical foundations of statistics and machine learning.
• Development experience in one or more object-oriented programming languages, such as Python, Go, Java, or C++.
• Advanced SQL knowledge.
• Knowledge of experimental design and analysis.
• Deep knowledge of forecasting and optimization methods and algorithms, including experience with Linear, Logistic, Lasso, Ridge, GAM, and other machine learning algorithms.
• Understanding of financial, energy, or commodity markets.
• Experience using Claude or other generative AI tools and working with large language models to deliver analysis or engineer AI products.
• Customer-centric, pragmatic approach, with a focus on value delivery and swift execution while maintaining attention to detail.
• Strong partner management skills and ability to lead large organizations through influence.
• Commitment to continuous learning and improvement.
• Experience with big data technologies such as Hadoop, Hive, and Spark is a plus.
• No prior experience in the energy industry is required.

Responsibilities:

• Work as part of a cross-disciplinary team with data scientists, data engineers, software engineers, data managers, and business partners.
• Build scalable, reusable, impactful data science products, typically containing statistical or machine learning algorithms, in collaboration with data and software engineers.
• Carry out data analyses to produce actionable business insights.
• Follow and advocate for data science procedures, including technical design and reviews, unit testing, monitoring and alerting, code check-in and review, and documentation.
• Present results to peers and senior management.
• Actively contribute to improving developer velocity.
• Mentor others.

Technologies:

• AI
• Big Data
• Hadoop
• Hive
• Java
• Machine Learning
• Python
• SQL
• Spark
• Swift
• Cloud
• Support
• NoSQL
• Security

More:

We are bp, and our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, we have focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally able to provide governments and customers with an integrated energy offering, and delivering our strategy sustainably is fundamental to our ambition to become a net zero company by 2050 or sooner. We are looking for a Senior Data Scientist to join our IT&S team. This is a full-time hybrid role based in London, United Kingdom, with negligible expected travel and no relocation assistance. We offer a diverse and supportive working environment, flexible working options, paid parental leave, and retirement benefits. We provide reasonable accommodations for individuals with disabilities during recruitment and employment, and are an equal opportunity employer.

last updated 40 week of 2026