Data Scientist

AI Connect | Data & AI Delivery Partner; City of Edinburgh; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

AI Connect | Data & AI Delivery Partner is seeking a Data Scientist in Edinburgh to work on real-world energy trading projects. You will apply machine learning and predictive modelling to optimise trading strategies and market performance.

You will collaborate with traders, engineers and data specialists to bring ML solutions from concept to production, leveraging Azure/Azure ML and modern data tooling.

Qualifications

• Experience as a Data Scientist or ML Engineer delivering business value.
• Strong programming in Python (pandas, NumPy, scikit-learn).
• Solid SQL and data manipulation skills.
• Experience applying ML to real-world datasets; Azure or cloud experience beneficial.

Responsibilities

• Apply machine learning and predictive modelling to optimise trading strategies.
• Collaborate with traders, engineers and data specialists to move ML solutions to production.
• Leverage Azure/Azure ML and other tools to build scalable data pipelines.
• Translate business problems into ML solutions for energy trading contexts.

Skills

Python

SQL

Machine Learning

MLOps

Tools

Azure

Job description

Edinburgh City Centre (2 days per week in office)

AI Connect are proud to be partnered with a growing and influential energy trading organisation in Edinburgh, who use 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 trading, developing algorithms that directly shape how energy 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
• MLOps - working with a huge amount of IoT data will require some MLOps practices

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 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.
• Be part of a growing, influential organisation making a real impact on the UK energy landscape