At a Glance
- Tasks: Lead the development of AI-driven solutions for wind turbine condition monitoring.
- Company: Join ONYX Insight, a leader in renewable energy technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and sustainability.
- Why this job: Make a real impact on global wind energy with cutting-edge analytics.
- Qualifications: 5+ years in Data Science, strong Python skills, and experience with ML frameworks.
The predicted salary is between 60000 - 80000 £ per year.
ONYX Insight is looking for a Senior Data Scientist to join our Advanced Analytics team on a 6‑month contract. This role will play a critical part in advancing AI‑driven solutions for condition monitoring and predictive maintenance across global wind‑turbine fleets.
The Role
As a senior member of the team, you will lead the development and delivery of advanced analytics solutions, working at the intersection of data science, engineering, and domain expertise. You will take ownership of high‑impact modelling initiatives, applying state‑of‑the‑art machine‑learning and signal‑processing techniques to complex, real‑world datasets. You will work with high‑frequency vibration data, SCADA data, and turbine failure records to build models that directly influence operational decision‑making for wind‑farm owners and operators. This is a hands‑on, delivery‑focused role with significant autonomy, where you will be expected to drive solutions from concept through to production‑ready deployment.
Key Responsibilities
- Lead the design, development and optimisation of advanced AI/ML models to detect, diagnose and predict wind‑turbine failure modes
- Apply sophisticated signal‑processing, reliability engineering and statistical techniques to large‑scale operational datasets
- Develop probabilistic models to estimate remaining useful life (RUL) and component failure risk
- Take ownership of end‑to‑end model lifecycle, including validation, testing and deployment into production environments
- Translate complex analytical outputs into clear, commercially relevant insights for engineering and operational stakeholders
- Mentor and collaborate with data scientists and engineers, promoting best practice in modelling and responsible AI
- Contribute to the continuous improvement of analytics capabilities, tooling and methodologies within the team
About You
- 5+ years’ experience in Data Science, Machine Learning or a related field, with a strong track record of delivering models in production environments
- Advanced Python skills and deep experience with ML frameworks (e.g. scikit‑learn, TensorFlow, PyTorch)
- Strong foundation in statistics, probabilistic modelling, and/or signal processing
- Experience working with complex industrial or time‑series datasets at scale
- Demonstrated ability to operate autonomously, prioritise effectively, and deliver against ambiguous or evolving requirements
- Confident communicator, able to translate complex technical concepts into clear, actionable insights for non‑technical stakeholders
Highly desirable:
- Experience in wind energy, condition monitoring, rotating machinery, or reliability engineering
- Exposure to cloud‑based ML deployment and productionisation pipelines
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 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.
Senior Data Scientist in Nottingham employer: ONYX Insight
At ONYX Insight, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the renewable energy sector. Our commitment to employee growth is evident through mentorship opportunities and hands-on projects that allow you to lead high-impact initiatives in advanced analytics. Located at the forefront of technology and engineering, we provide a unique chance to contribute to sustainable solutions while enjoying the benefits of working within a diverse and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data science roles. Be ready to discuss your past projects and how you've tackled challenges in your work. Confidence is key!
✨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 ONYX Insight and contributing to our mission.
We think you need these skills to ace Senior Data Scientist in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, Python, and any relevant projects that showcase your skills in predictive maintenance and condition monitoring.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of your past work, especially those that relate to wind energy or complex datasets, and show your passion for advancing AI-driven solutions.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical prowess! Mention your experience with ML frameworks like TensorFlow or PyTorch, and any hands-on projects where you’ve applied advanced analytics techniques to real-world problems.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
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. Be ready to discuss how you've applied machine learning techniques to similar datasets in the past.
✨Showcase Your Modelling Experience
Prepare to talk about specific models you've developed and deployed in production. Highlight your experience with frameworks like scikit-learn or TensorFlow, and be ready to explain the impact these models had on decision-making.
✨Communicate Clearly
Practice translating complex technical concepts into simple terms. You'll need to demonstrate your ability to communicate insights to non-technical stakeholders, so think of examples where you've done this successfully.
✨Demonstrate Autonomy and Leadership
Be prepared to share instances where you've taken ownership of projects and led teams. ONYX Insight values autonomy, so highlight how you've prioritised tasks and delivered results in ambiguous situations.
