Staff Data Scientist

at  BP

JOB DESCRIPTION:

We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world’s ambition of a low carbon future. Join us, and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner, and to help the world get to net zero.
In Hungary, we operate bp’s Global Business Services organization which is an integrated part of bp. Our people want to play their part in solving the big complex challenges facing our world today and, guided by our bp values, are working to help meet the world’s need for more energy while lowering carbon emissions. In our offices in Budapest and Szeged, we work in customer service, finance, accounting, procurement, HR services and other enabling functions – providing solutions across all of bp. Join our team, and develop your career in an encouraging, forward-thinking environment!

SKILLS:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving

Design, build, and own sophisticated AI pipelines aimed at automating and enhancing business processes. Focus on integrating state-of-the-art algorithms, including Generative AI (GenAI) and Large Language Models (LLMs), to create scalable and impactful solutions that support bp’s strategic goals.
Productionize AI models by collaborating with cross-functional teams, ensuring that models transition seamlessly from research and development into robust, high-performance production environments. Ensure models are deployed with appropriate monitoring, optimization, and maintenance to meet business requirements.
Develop and implement high-performing AI architectures, ensuring that they are scalable, secure, and cost-efficient. Adapt architectural decisions to the specific requirements of bp’s infrastructure, leveraging cloud platforms like AWS for optimal deployment.
Collaborate with data engineers, software developers, and business partners to deliver integrated solutions that transform complex data into actionable insights. This includes refining processes, managing data pipelines, and ensuring that business goals are met efficiently.
Drive continuous improvement by ensuring best practices in AI model design, development, and monitoring are followed. Champion efforts to enhance code quality, conduct code reviews, and promote testing protocols that ensure the reliability and efficiency of deployed models.
Lead end-to-end AI engagements, from data collection and processing through to model deployment and performance monitoring. Focus on creating business value through automation, predictive analytics, and optimization, ensuring alignment with bp’s business objectives.