Engineering and construction

Join us in this role where you’ll get the opportunity to be part of a diverse and interdisciplinary engineering team responsible for driving the reliability, availability & maintainability of our assets. As a data scientist, you’ll gain broad exposure to our operations in UK West and be involved in a variety of projects that require deep understanding of asset performance & measurement data and tools. Primarily, you'll help us optimize the performance & maintenance of our assets by co-developing (with our central condition monitoring teams and internal technical optimization team) models to monitor & predict faults on our offshore asset by co-developing (with our central condition monitoring teams and internal technical optimization team) models to monitor & predict faults on our offshore assets, utilizing vast quantities of data from sensors, SAP, SCADA and other sources (ex. Logistics, price, weather etc.) to tell compelling stories and move the needle on asset performance.

Welcome to Engineering - UK West
You’ll be part of Reliability & Maintenance team where you, together with your colleagues, will deliver on our Engineering strategy to ensure that performance & maintenance is data-driven and proactive. The Reliability & Maintenance team primarily focuses on ensuring methodical, data driven and proactive Reliability, Availability & Maintenance (in particular through Reliability Centered Maintenance practices) of our assets. The team consists of engineering Subject Matter Experts, Technical Optimization experts (ensuring data driven decision making) and Quality & Risk experts. Most condition monitoring models today come from our central teams and are built to inform our wind farms of faults before they cause downtime. Our aim is to strengthen the Diagnostic capability within our region of UKW as an end-to-end team to develop deep knowledge of our assets based on multiple data sources, maintenance strategies coupled with faster action-oriented processes flow. As a team, we pride ourselves in having a fun, collaborative, and inclusive culture. We collaborate with subject matter experts across the company and work closely together to ensure quality delivery.

You’ll play an important role in:

• analysing and evaluating asset sensor data, SCADA data, SAP data & data from other operational applications and commercial data to identify and troubleshoot technical issues affecting asset performance
• translating these complex technical findings into running models and/or reports which alert our sites and ensure that faults are investigated and rectified by our technicians
• statistical analysis and investigations towards developing, testing, and updating Key Performance Indicators
• developing, testing, and implementing advanced diagnostic algorithms that provide accurate diagnosis and prognosis of faults
• driving the technical performance capabilities towards fully utilizing centrally- developed tools and systems to have the highest performance impact, while acting as a translator between technical specialists and central developers
• setting requirements towards central development teams for operational systems and developments to fully support the business requirements.

To succeed in the role, you:

• have a statistical and logic-focused mindset with experience within performance measurements or analysis and reporting
• have an MSc or BSc degree in engineering, data science, physics, mathematics, or another relevant discipline involving data analytics
• have high proficiency in critical analysis and problem resolution, are equipped to handle voluminous data, develop simulation models based on technical and commercial input, conduct statistical enquiries, and establish well-founded and reproducible answers to convoluted questions
• are confident and experienced working with with Python in a professional setting (such as familiarity with version control, Azure DevOps, Kubernetes, Docker, SQL, etc.) and PowerBI. SAP FIORI experience will be highly preferred
• must have knowledge of wind turbine operations, or are excited to learn more about mechanical, electrical, hydraulic, and general maintenance engineering
• must have experience in both data science & data engineering.

Maybe you’ve read the above and can see you have some transferable skills, even though they don’t quite match all the points. If you think you can bring something to the team, we still encourage you to apply.

Shape the future with us
Send your application to us as soon as possible. We’ll be conducting interviews on a continuous basis and reserve the right to take down the advert when we’ve found the right candidate.

As an applicant or employee, you may request reasonable work and position accommodation or adjustments via accommodation@orsted.com.

Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position.