Junior Data scientist - Digital Services (M/F/D)

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 development processes.
• Learn and grow through hands-on experience, training, and collaboration with experienced data scientists and engineers.

Fuel your passion

To be successful in this role you will:

• Have Master's, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines.
• Have knowledge in time series modeling, NLP, and agentic AI frameworks.
• Have programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Be familiar with databases, SQL, and large dataset management.
• Have basic knowledge of predictive maintenance, prognostics and asset health management methodologies.
• Have basic knowledge of cloud platforms (AWS, Azure, or GCP) and the fundamentals of MLOps and machine learning lifecycle management.

• Have a basic knowledge of general-purpose programming language (e.g., Python, R, Java, or MATLAB).
• Have good analytical and problem-solving skills, with the ability to work effectively in an Agile environment.
• Have good communication and presentation skills.
• Be fluent both in English and/or in Italian (oral and written) and hold an EU passport or work permit

Desired Requirements:

• Exposure to industrial equipment, rotating machinery or energy systems is considered a plus.
• Previous exposure to digital technologies, sensor data analytics, or real-time monitoring systems is considered a plus.
• Exposure to anomaly detection, fault diagnostics and condition monitoring techniques is considered a plus.

Work in a way that works for you

We 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:

• Working 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

Working with us

Our 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.

Working for you

Our 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:

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits

The initial pay range for this position will be EUR 38,603.44 To 49,500.

The 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

The Baker Hughes internal title for this role is: Engineer 1, Mathematics & Data Science, Disciplinary Engineering and Science About Us:
We 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.

Join Us:
Are 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.

Baker 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.