bp is seeking a Senior Data Scientist to join a cross-disciplinary team consisting of data scientists, data engineers, software engineers, data managers and business partners. You will build scalable, reusable data science products containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. A strong knowledge of forecasting and optimization methods is essential, with experience in linear, logistic, Lasso, Ridge, GAM and other ML algorithms. A reasonable understanding of financial, energy or commodity markets is important for performing the role. Experience with Claude or general GEN AI tools and working with large language models to deliver analyses or engineer AI products is required. You will carry out data analyses to yield actionable business insights and advocate for data science procedures (technical design, design reviews, unit testing, monitoring and alerting, code reviews, documentation). You will present results to peers and senior management, contribute to developer velocity and mentor others. Essential qualifications include an MSc or PhD in a quantitative field, at least 5 years of hands-on experience designing, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments, proficiency in data science tools across all data lifecycle stages, a strong grasp of the mathematical foundations of statistics and machine learning, and development experience in one or more object-oriented languages (Python, Go, Java, C++). Advanced SQL knowledge, unders

bp is seeking a Senior Data Scientist to join a cross-disciplinary team consisting of data scientists, data engineers, software engineers, data managers and business partners. You will build scalable, reusable data science products containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. A strong knowledge of forecasting and optimization methods is essential, with experience in linear, logistic, Lasso, Ridge, GAM and other ML algorithms. A reasonable understanding of financial, energy or commodity markets is important for performing the role. Experience with Claude or general GEN AI tools and working with large language models to deliver analyses or engineer AI products is required. You will carry out data analyses to yield actionable business insights and advocate for data science procedures (technical design, design reviews, unit testing, monitoring and alerting, code reviews, documentation). You will present results to peers and senior management, contribute to developer velocity and mentor others. Essential qualifications include an MSc or PhD in a quantitative field, at least 5 years of hands-on experience designing, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments, proficiency in data science tools across all data lifecycle stages, a strong grasp of the mathematical foundations of statistics and machine learning, and development experience in one or more object-oriented languages (Python, Go, Java, C++). Advanced SQL knowledge, unders