At a Glance
- Tasks: Join a team to develop AI solutions for wind turbine condition monitoring and predictive maintenance.
- Company: ONYX Insight, a leader in renewable energy technology and analytics.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in renewable energy while working with cutting-edge technology.
- Qualifications: 3+ years as a Data Scientist, strong Python skills, and experience with ML frameworks.
The predicted salary is between 50000 - 70000 € per year.
ONYX Insight is looking for an experienced Data Scientist to join our Advanced Analytics team on a 6‑month contract, supporting the development of AI‑powered solutions for condition monitoring and predictive maintenance of wind‑turbine assets.
The Role
You will work with a cross‑functional team of Data Scientists, ML Engineers, Software Developers and domain experts, applying advanced analytics and machine‑learning techniques to large, real‑world datasets. This includes high‑frequency vibration data, SCADA data, and recorded turbine failure data. The focus of this contract is hands‑on delivery — developing, validating and deploying models that generate actionable insights for wind‑farm owners and operators.
Key Responsibilities
- Develop and optimise AI‑driven algorithms to detect, diagnose and predict wind‑turbine failure modes
- Apply signal‑processing, reliability‑engineering and machine‑learning techniques to real operational data
- Build probabilistic models to estimate remaining useful life (RUL) and component failure risk
- Translate analytical outputs into clear, actionable insights for engineers and operational stakeholders
- Collaborate closely with engineers and data teams to support deployment into production environments
- Contribute to model validation, testing and responsible‑AI practices
About You
- 3+ years’ experience as a Data Scientist or similar role
- Strong Python skills (NumPy, pandas, SciPy) and experience with ML frameworks such as scikit‑learn, TensorFlow or PyTorch
- Experience working with complex, real‑world industrial datasets
- Comfortable working at pace and dealing with ambiguous problems
- Able to clearly communicate technical findings to non‑technical stakeholders
Experience within wind energy, rotating machinery, condition monitoring or reliability engineering is highly desirable, but not essential.
About ONYX
ONYX Insight is a growing technology and engineering organisation in the renewable energy sector. Our vision is to build a more efficient future by becoming the world’s most innovative provider of predictive technology solutions. Our advanced sensing, software and analytics combined with our engineering experience are deployed on wind turbines around the world to maximise production and make turbines more reliable for longer, optimising energy production.
ONYX Insight is part of the Macquarie Group. Macquarie is a global financial services group operating in 34 markets in asset management, leasing and asset financing, market access, commodity trading, renewables development, specialist advisory services, capital raising and principal investment. The diversity of the Macquarie Group operations combined with a strong capital position and robust risk management framework has contributed to a 54 year-record of unbroken profitability.
ONYX Insight are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Recruitment Agencies
We prioritise sourcing candidates directly wherever possible. For specific roles, we may engage preferred suppliers, invited by our Talent Acquisition Team, to support the process. CVs from other suppliers may be considered on an ad hoc basis, subject to prior written agreement. We will not be liable for fees related to CVs or profiles submitted directly to ONYX Insight employees outside of the agreed resourcing process. Agencies must liaise with our Talent Acquisition Team before submitting any unsolicited applications.
Data Scientist in Nottingham employer: ONYX Insight
At ONYX Insight, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the renewable energy sector. Our commitment to employee growth is evident through hands-on projects that allow Data Scientists to develop cutting-edge AI solutions while working alongside a diverse team of experts. Located in a thriving industry, we provide unique opportunities to contribute to sustainable energy advancements, making your work both meaningful and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at ONYX Insight. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and real-world datasets. This will give you an edge when discussing your experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and ML frameworks. Be ready to discuss how you’ve tackled complex problems and turned data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Data Scientist in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at ONYX Insight. Highlight your experience with Python, machine learning frameworks, and any relevant projects that showcase your skills in handling real-world datasets.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about data science and how your background aligns with our mission at ONYX Insight. Be sure to mention any experience you have in the renewable energy sector or with predictive maintenance.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! We want to see your proficiency in Python, NumPy, pandas, and any machine learning techniques you've applied. Include specific examples of how you've used these skills in past roles.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and helps us keep track of all candidates efficiently. Plus, it’s super easy!
How to prepare for a job interview at ONYX Insight
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you'll be working with, like high-frequency vibration data and SCADA data. Familiarise yourself with how these datasets are used in predictive maintenance and condition monitoring, so you can discuss your insights confidently.
✨Showcase Your Python Skills
Make sure to brush up on your Python skills, especially with libraries like NumPy, pandas, and SciPy. Be ready to share specific examples of how you've used these tools in past projects, particularly in developing and optimising machine-learning algorithms.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to translate complex analytical outputs into actionable insights, practice explaining your technical findings in simple terms. Think of examples where you've successfully communicated with non-technical team members or stakeholders.
✨Prepare for Hands-On Problem Solving
Expect to tackle real-world problems during the interview. Prepare by thinking through how you would approach ambiguous issues related to wind-turbine failures. Be ready to discuss your thought process and any relevant experiences that demonstrate your problem-solving skills.
