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

Baker Hughes Company; Firenze; Ibrido; EUR 39.000 - 50.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private medical care

Life insurance

Flexible hours

Descrizione del lavoro

Baker Hughes Company is seeking a data science professional to develop and validate analytical models and ML solutions that support forecasting, scenario modelling, and optimization activities. You will create analytics and digital products while ensuring deliverables are reliable and scalable.

You will collaborate with system engineers and domain experts, applying advanced ML methods and deep learning. The role includes developing predictive maintenance models and contributing to Generative AI

Competenze

• Master's or PhD in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering or related fields.
• Experience with time series modeling, NLP and agentic AI frameworks.
• Programming experience in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Familiar with databases, SQL, and large dataset management.
• Knowledge of predictive maintenance and asset health management.
• Knowledge of cloud platforms (AWS, Azure, or GCP) and ML lifecycle management.

Mansioni

• Collaborate with engineers and domain experts to understand business needs and develop analytics solutions.
• Apply statistical and machine learning techniques under guidance of senior team members.
• Support development, testing, and validation of predictive models for equipment health monitoring and analytics.
• Create and maintain analytics tools for forecasting, scenario modelling, and back casting.
• Monitor model performance and ensure quality and reliability of analytics.
• Contribute to ML pipelines and Generative AI prototyping activities.
• Follow coding standards and best practices to deliver high-quality solutions.
• Help improve existing analytics solutions and development processes.

Conoscenze

Python

TensorFlow

PyTorch

scikit-learn

NLP

Time series

SQL

Cloud platforms

ML pipelines

Deep learning

Formazione

Master's or PhD in Data Science

Strumenti

Docker

Kubernetes

Git

Descrizione del lavoro

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

At Baker Hughes, we are transforming the future of energy. With operations in over 120 countries, we are developing and deploying industry-leading technologies and services to take energy forward. For more than a century, our inventions have revolutionized energy. Today, we are bringing our expertise to make oil and gas safer, cleaner, and more efficient. Our people are the trusted experts, relied on to solve customer challenges big and small. 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.

We believe in creating an environment of diversity and inclusion, without bias. We know we are better when all of our people are developed, engaged, and able to bring their whole authentic selves to work. We're makers, inventors, and leaders who aren't afraid of the tough challenges. We believe pushing boundaries will help to lead the way for a new energy future.