Data Scientist

General Description

Data Scientist

Edinburgh City Centre (2 days per week in office)

£45,000 – £55,000 + excellent package

Take the next step in your career now, scroll down to read the full role description and make your application.

AI Connect are proud to be partnered with a growing and influential energy trading organisation in Edinburgh, using advanced data science and machine learning to tackle real-world energy challenges.

This is a brilliant opportunity to join a team at the forefront of AI-driven energy & battery modelling, developing algorithms that directly shape how electricity is traded, stored, and distributed across markets.

The Role

As a Data Scientist, you’ll work on real world projects, applying machine learning and predictive modelling to optimise trading strategies and improve market performance.

You’ll collaborate closely with traders, engineers, and fellow data specialists to bring ML solutions from concept to production, leveraging the latest tools in Azure and Azure ML.

The Toolset

• Python – your primary language for modelling and analysis
• SQL – for efficient data extraction and manipulation
• Machine Learning – applied to real-world trading and forecasting problems
• Azure & Azure ML – for model deployment and pipeline management

What We’re Looking For

• Experience as a Data Scientist or ML Engineer, providing business value
• Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.)
• Solid understanding of SQL and data manipulation techniques
• Experience applying machine learning to real-world datasets
• Exposure to Azure or other cloud environments would be helpful

Why Join

• Gain highest-quality experience in energy trading and modelling through data and AI
• Work in an environment where you have freedom to bring new ideas, with time & support to master your craft as you develop your own skillset. xwzovoh
• Be part of a growing, influential organisation making a real impact on the UK energy landscape

Apply today and we’ll be delighted to share more details on a call.