ph3Do you enjoy working with cutting-edge technology?
/h3h3Would you like to help shape the future of our global energy?
/h3h3Join our Team!
/h3pOur 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.
/ppOur innovative technologies and services are taking energy forward!
Making it safer, cleaner and more efficient for people and the planet.
/ph3Partner with the best /h3pYou 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.
/pulliCollaborate with system engineers, diagnostic engineers, and domain experts to understand business needs and support the development of analytics solutions.
/liliApply statistical and machine learning techniques (e.g., regression, Bayesian methods, and deep learning) under the guidance of experienced team members.
/liliSupport the development, testing, and validation of predictive models for use cases such as equipment health monitoring and operational analytics.
/liliContribute to the creation and maintenance of analytics tools for scenario modelling, forecasting, and back casting.
/liliAssist in monitoring model performance and ensuring quality, reliability, and transparency of analytics /liliSupport the implementation and maintenance of machine learning pipelines and contribute to Generative AI and LLM prototyping activities.
/liliFollow coding standards and software development with the best practices to deliver high-quality solutions.
/liliContribute to the continuous improvement of existing analytics solutions, digital products, and development processes.
/liliLearn and grow through hands?on experience, training, and collaboration with experienced data scientists and engineers.
/li /ulh3Fuel your passion /h3pTo be successful in this role you will: /pulliHave Master's,

or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines.
/liliHave knowledge in time series modeling, NLP, and agentic AI frameworks.
/liliHave programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
/liliBe familiar with databases, SQL, and large dataset management.
/liliHave basic knowledge of predictive maintenance, prognostics and asset health management methodologies.
/liliHave basic knowledge of cloud platforms (AWS, Azure, or GCP) and the fundamentals of MLOps and machine learning lifecycle management.
/liliHave a basic knowledge of general?purpose programming language (e.g., Python, R, Java, or MATLAB).
/liliHave good analytical and problem?solving skills, with the ability to work effectively in an Agile environment.
/liliHave good communication and presentation skills.
/liliBe fluent both in English and/or in Italian (oral and written) and hold an EU passport or work permit.
/li /ulh3Desired Requirements /h3ulliExposure to industrial equipment, rotating machinery or energy systems is considered a plus.
/liliPrevious exposure to digital technologies, sensor data analytics, or real?time monitoring systems is considered a plus.
/liliExposure to anomaly detection, fault diagnostics and condition monitoring techniques is considered a plus.
/li /ulh3Work in a way that works for you /h3pWe recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too.
In this role, we can offer the following flexible working patterns:

/pulliWorking flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive /li /ulh3Working with us /h3pOur people are at the heart of what we do at Baker Hughes.
We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work.
We invest in the health and well?being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
/ph3Working for you /h3pOur inventions have revolutionized energy for over a century.
But to keep going forward tomorrow, we know we have to push the boundaries today.
We prioritize rewarding those who embrace change with a package that reflects how much we value their input.
Join us, and you can expect: /pulliContemporary work?life balance policies and wellbeing activities /liliComprehensive private medical care options /liliSafety net of life insurance and disability programs /liliTailored financial programs /liliAdditional elected or voluntary benefits /li /ulpThe initial pay range for this position will be EUR 38,****** To 49,500.
/ppThe provisions of Contratto Collettivo Industria Metalmeccanica e della installazione di impianti will be applied to this position.
Section VI – Titolo IV of that collective bargaining agreement relates to pay /ppThe Baker Hughes internal title for this role is: Engineer 1, Mathematics Data Science, Disciplinary Engineering and Science /ph3About Us: /h3pWe are an energy technology company that provides solutions to energy and industrial customers worldwide.
Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.
/ph3Join Us: /h3pAre you seeking an opportunity to make a real difference in a company that values innovation and progress?
Join us and become part of a team of people who will challenge and inspire you!
Let's come together and take energy forward.
/ppBaker Hughes Company is an Equal Opportunity Employer.
Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
/ppR /p /p #J-*****-Ljbffr

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