At a Glance
- Tasks: Collaborate to design AI solutions for wind turbine condition monitoring and predictive maintenance.
- Company: Leading company in renewable energy analytics with a focus on innovation.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact in renewable energy while working with cutting-edge AI technologies.
- Qualifications: 3+ years in data science, proficient in Python and cloud services.
The predicted salary is between 60000 - 80000 € per year.
You will collaborate with data scientists, data engineers, software developers and domain experts to design, implement, and validate AI-powered methods and intelligent software solutions for condition monitoring and predictive maintenance of wind-turbine assets.
You will be working with an industry leading historic dataset to apply signal processing techniques, reliability engineering principles, machine learning models and emerging generative-AI methods to extract actionable insights for wind turbine owners and operators. The role will include working with high-frequency vibration data, SCADA data, and large collections of recorded failures in a cross-functional team.
Key Responsibilities- Signal Processing & Data Analysis: Develop and optimise AI-driven algorithms that detect, diagnose, and prognose wind-turbine failure modes from high-frequency sensor data across multiple data sources. Collaborate with domain experts to create new AI-augmented analytical methods that improve workflow efficiency, automation, and service quality.
- Reliability Engineering & Maintenance: Build AI-enhanced probabilistic models to estimate remaining useful life (RUL) and component failure probabilities. Design intelligent dashboards and automated alerts that translate model outputs into clear, actionable recommendations for Condition Monitoring Engineers, operators, asset managers, and field technicians.
- Software Engineering: Build AI enabled software bits and pieces.
- Machine Learning & Generative AI: Create and iterate on supervised, unsupervised, and other AI models to identify degradation patterns and predict failure trajectories. Leverage generative-AI techniques (including LLMs, RAG pipelines, and agentic workflows) to construct intelligent knowledge systems that support and accelerate wind farm operator decision-making.
- Collaboration & Delivery: Work closely with engineering teams and customers to co-create and test new solutions, demonstrating tangible value for end users. Establish AI model-governance and responsible-AI processes, including rigorous validation (cross-validation, out-of-sample testing, bias audits). Work with Data Engineers to deploy models to production via robust MLOps pipelines with automated monitoring for model drift and performance, including running field trials on live turbine fleets.
- 3+ years of data-science experience in a relevant industry.
- Demonstrated experience with Python and cloud services (preferably AWS and/or Databricks).
- Working knowledge of S3, PostgreSQL, and database design principles.
- Track record of delivering end-to-end AI and analytics systems that generate measurable business value.
- Solid grasp of data-science best practices, including reproducible pipelines, experiment tracking, version control, and CI/CD for ML models.
- Experience thriving in a fast-paced analytics development environment and handling ambiguous problems with an abstract, solution-oriented mindset.
Data Science in Nottingham employer: Investigo
Join a forward-thinking company that champions innovation and collaboration in the renewable energy sector. As a Data Scientist, you will be part of a dynamic team dedicated to harnessing AI and advanced analytics to enhance the efficiency and reliability of wind turbine operations. With a strong emphasis on employee growth, a supportive work culture, and access to cutting-edge technology, this role offers a unique opportunity to make a meaningful impact while advancing your career in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science in Nottingham
✨Network Like a Pro
Get out there and connect with folks in the data science field! Attend meetups, webinars, or even online forums. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving AI and machine learning. Use platforms like GitHub to share your code and demonstrate your expertise. This will make you stand out when applying through our website!
✨Ace the Interview
Prepare for technical interviews by brushing up on your data science concepts and algorithms. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so show us what you've got!
✨Follow Up
After an interview, don’t forget to send a thank-you email! It shows your enthusiasm and keeps you fresh in the interviewer's mind. Plus, it’s a great way to reiterate your interest in the role.
We think you need these skills to ace Data Science in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI, machine learning, and data analysis, especially if you've worked with high-frequency data or predictive maintenance before. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Mention specific projects or experiences that relate to the job description, and don't forget to show your enthusiasm for working with wind turbine technology.
Showcase Your Projects:If you've got any relevant projects, whether they're personal or professional, make sure to include them in your application. We love seeing practical examples of your work, especially those involving AI models or data-driven solutions. It gives us a better idea of your capabilities!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do – just follow the prompts and submit your materials!
How to prepare for a job interview at Investigo
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially around signal processing and machine learning. Be ready to discuss how you've applied these techniques in past projects, particularly in relation to predictive maintenance or similar fields.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you worked with engineers or domain experts to solve complex problems.
✨Demonstrate Your Technical Proficiency
Be prepared to talk about your experience with Python, AWS, and any relevant cloud services. If you have specific projects where you used these tools to deliver AI solutions, make sure to mention them!
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially in ambiguous situations. Practice articulating your thought process when tackling complex data challenges, and be ready to discuss how you ensure the reliability of your models.
