Senior Data Scientist

Senior Data Scientist

Do you like working in collaborative teams and solving technical problems?

Are you a Senior Data Scientist looking for a new challenge?

Join our innovative Engineering Team!

Our Industrial and Energy Technology (IET) operates across 120 countries, serving the entire energy value chain and the industrial sector. We hold an extensive portfolio of rotating equipment, process flow, transmission technology and lifecycle services. Our Engineering Transformation team works to improve the quality of our Engineering processes.

Partner with the best

As a Senior Data Scientist, you will collaborate within a data science or cross-functional team alongside partners at Baker Hughes. Key focus areas include Automatic Defect Recognition (ADR) and Remote Monitoring & Diagnostics (RM&D) in Non-Destructive Testing (NDT) industrial sectors. You will lead customer engagements and develop analytics aligned with business objectives to address specific needs and opportunities.

As a Senior Data Scientist, you will be responsible for:

• Engaging with stakeholders to define analytical goals.

• Designing and implementing ML/computer vision models for industrial use cases.

• Developing reusable components for scalable solutions.

• Building defect detection models for visual, ultrasound, and CT/X-ray images.

• Using TensorFlow/PyTorch for image classification, detection, and segmentation.

• Applying transfer learning to enhance model performance.

• Building and deploying ML pipelines using Flask, FastAPI, Streamlit, Docker, etc.

• Using time series and predictive maintenance to forecast equipment failures.

• Deploying solutions on edge or cloud platforms.

• Documenting results in technical and validation reports.   

Fuel your passion

To be successful in this role, you will:

• Have a Bachelor's, Master’s, or PhD in Computer Science or a STEM field, with 3+ years of experience in developing computer vision solutions for industrial applications.

• Have at least 4 years of hands-on experience with machine learning and computer vision algorithms for tasks such as object detection, recognition, tracking, and segmentation.

• Have proficiency in deep learning and ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, and OpenCV.

• Have good knowledge of Convolutional Networks and Deep Learning algorithms

• Have solid programming skills with Python and/or non-scripting languages

• Have experience in data cleansing, data quality assessment, and applying analytics on industrial datasets

• Have practical knowledge of time series analysis and predictive maintenance for forecasting equipment health and optimising maintenance.

• Have good communication skills to collaborate with stakeholders and explain technical concepts to non-technical audiences.

• Have experience with Docker containers & cloud deployment is a plus

• Have prior exposure to NDT inspection data (e.g., CT/X-ray images) is a plus.

Work in a way that works for you

We recognise 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 revolutionised energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritise 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