Renewables Analyst

ONYX Insight
Nottingham
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst – Asset Optimisation

Data Engineer (AI Analytics and EdTech Developments)

Data Engineer (AI Analytics and EdTech Developments)

The Role:

We are looking for a Data Analyst to join our team, where you will play a critical role in developing and implementing advanced analytical methods for wind turbine data. This includes working with a variety of data sources, such as vibration, SCADA, oil, and maintenance data, to deliver insights that drive operational efficiency and enable predictive maintenance solutions.

You will collaborate with domain experts and developers to create innovative data and analytics consultancy offerings that meet the evolving needs of our clients.

The ideal candidate will bring strong analytical expertise, a background in the energy sector (preferably renewables), and experience with data analysis tools such as Power BI and Python. This is a unique opportunity to make a significant impact in the renewable energy industry through data-driven solutions.

What you'll do:

• Develop and implement advanced analytical methods for wind turbine data analysis across a wide range of data sources e.g. vibration, SCADA, Oil, maintenance.

• Research and evaluate ML techniques applicable to time-series data and signal processing

• Research and Evaluate Machine Learning techniques to identify opportunities for new or improved methods.

• Collaborate with domain experts and developers to create new data and analytics consultancy offerings.

• Support the delivery of data and analytics consultancy services.

Ideally you'll have/be:

• Strong analytical background, ideally in energy sector, preferably renewables.

• Proficiency in data analysis tools and programming languages such as power bi and python.

• Effective communication skills to technical and non-technical audiences.

• Basic understanding of data pipelines and working with data engineers to establish new pipelines and improve existing ones.

• Advanced statistical and machine learning expertise relevant to Wind Turbine Analytics.

• Knowledge or experience of Signal Processing for vibration data

• Knowledge of wind turbine engineering concepts applied to data analytics.

• Experience with SQL Databases and AWS S3.

Why Join ONYX Insight?

· Make an Impact: Join a team that is revolutionising the renewable energy sector through data-driven innovation.

· Career Growth: We offer opportunities for career progression and the chance to work on high-impact projects.

· Global Reach: Be part of a growing company with global influence and operations across the renewable energy sector.

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.

For any further information, or to understand our products and services better, please feel free to look through our website:https://onyxinsight.com/

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.