AI Data Modelling Engineer - £45K - Sheffield Hybrid

AI Data Modelling Engineer - £45K - Sheffield (Hybrid)

A Sheffield based, forward thinking, and award winning business are looking to add to their existing team with the acquisition of a new AI Data Modelling Engineer. A role that will see the successful candidate developing models with python to test control strategies for power flow in the energy or engineering sector. Whilst also providing exceptional personal development and progression opportunities.

This role will be based from my clients Sheffield office on a hybrid working model. The exact arrangement will depend on experience and location, however, please note that office travel will be required every week.

All candidates must have the relevant right to work in the UK and no future sponsorship requirements.

Responsibilities:

• Using Python to simulate and model performance of electric power systems
• Conduct statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets
• Primary and secondary data collection, as well as compiling and maintaining databases
• Clearly document data, methodology and results fir reports and presentations
• Presenting results effectively and create support documentation for software and tools

Requirements:

• Good understanding of EOS (Energy Optimisation Systems) Principles
• Proven experience using Python for massive data processing and advanced software development
• Knowledge of AI algorithm categories

Benefits:

• Company Pension
• 25 days holiday plus 8 days for Bank Holiday
• Optional Private Healthcare
• Life Insurance
• EAP Programme
• Virtual GP Service
• Extensive training & progression opportunities

If the above role is of interest and you've got the required experience, apply with your most up to date CV for immediate consideration and interview!

Alternatively, if you would like to find out more about the position, reach out to me on or at

In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.