Do you enjoy working with cutting-edge technology?
Would you like to help shape the future of our global energy?
Join our Team

Our Industry & Energy Technology (IET) team provides industry-leading products and services that optimize the extraction, production, and processing of energy. We help a diverse range of customers across the value chain to reduce operating costs and improve productivity.
Our innovative technologies and services are taking energy forward Making it safer, cleaner and more efficient for people and the planet.
Partner with the best
You will be part of the Data Science team, contributing to the development, implementation, and validation of analytical models and machine learning solutions to support forecasting, scenario modelling, and optimization activities. You will contribute to the creation of analytics and digital products while helping to ensure the quality and reliability of deliverables.
In this role, you will be responsible for:
Collaborate with system engineers, diagnostic engineers,



and domain experts to understand business needs and support the development of analytics solutions.
Apply statistical and machine learning techniques (e.g., regression, Bayesian methods, and deep learning) under the guidance of experienced team members.
Support the development, testing, and validation of predictive models for use cases such as equipment health monitoring and operational analytics.
Contribute to the creation and maintenance of analytics tools for scenario modelling, forecasting, and back casting.
Assist in monitoring model performance and ensuring quality, reliability, and transparency of analytics
Support the implementation and maintenance of machine learning pipelines and contribute to Generative AI and LLM prototyping activities.
Follow coding standards and software development with the best practices to deliver high-quality solutions.
Contribute to the continuous improvement of existing analytics solutions, digital products, and develo

📌 Junior Data scientist (Firenze)
🏢 Baker Hughes
📍 Firenze