Energy Modelling Analyst

Lex Consultancy; Dublin; Hybrid; EUR 48,000 - 58,000; Full time

Benefits offered by this job

Hybrid working

29 days annual leave

Job summary

Lex Consultancy is recruiting an Energy Modelling Analyst to join a specialist team focused on energy research, data analysis and supporting Ireland's transition to a low-carbon future.

This role involves conducting energy modelling studies, developing analytical tools in Python, data preparation and analysis, and communicating findings through reports and visualisations. Hybrid work with two days onsite per week is expected, with a 18-month contract.

Qualifications

• Degree (NFQ 7) in a relevant field such as Engineering or Science.
• Minimum 3 years' experience in modelling or data analysis.
• Proficient in Python and data analysis tools.
• Experience with SQL and data engineering is preferred.

Responsibilities

• Conduct energy modelling studies and evaluate decarbonisation options.
• Develop analytical tools using Python or similar languages.
• Prepare and analyse data to improve modelling inputs and outputs.
• Produce reports, briefings and data visualisations of findings.
• Research emerging trends and identify opportunities to improve modelling methodologies and tools.
• Support the development of energy modelling frameworks and processes.
• Build and maintain relationships with stakeholders and present findings at meetings.

Skills

Data analysis

Analytical skills

Communication

Problem solving

Stakeholder engagement

Education

NFQ Level 7 degree in Engineering, Computer Science, Science, Mathematics or Economics

Tools

Python

SQL

Job description

Location: Dublin or Cork
Salary: €53,071 per annum (€29.16 per hour equivalent)
Contract: 18-month contract – Secondment Cover
Working Arrangement: Hybrid – minimum 2 days onsite per week
Annual Leave: 29 days

Lex Consultancy is currently recruiting for an Energy Modelling Analyst to join a specialist team focused on energy research, data analysis and supporting Ireland's transition to a low-carbon future.

This is an excellent opportunity for an analytically minded professional with experience in data modelling, programming and energy systems to contribute to research and analysis that informs national energy policy.

Key Responsibilities:

• Conduct energy modelling studies, particularly analysing energy efficiency measures and heating system decarbonisation options.
• Contribute to the development of analytical tools using Python or similar programming languages.
• Prepare, integrate and analyse data to improve modelling inputs and outputs.
• Produce reports, technical briefings and data visualisations to communicate analytical findings.
• Research emerging trends and identify opportunities to improve modelling methodologies and analytical tools.
• Support the development of energy modelling frameworks and analytical processes.
• Build and maintain relationships with internal and external stakeholders.
• Present research findings and represent the organisation at relevant meetings and events.
• Degree (minimum NFQ Level 7) in Engineering, Computer Science, Science, Mathematics or Economics.
• Minimum 3 years' relevant experience in modelling or data analysis (postgraduate studies may count).
• Demonstrable programming experience using Python or a similar language.
• Experience with SQL or similar database querying languages.
• Strong IT skills, including modelling, simulation, data analysis and presentation tools.
• Excellent analytical, communication and problem-solving skills.
• Ability to communicate technical information to both technical and non-technical audiences.
• Experience with energy systems modelling or statistical modelling.
• Knowledge of building energy efficiency and heating technologies.
• Understanding of energy decarbonisation and climate action.
• Experience with data engineering and cloud-based tools.
• Strong practical Python programming experience.

Additional Information:

• 35 hours net per week.
• 29 days annual leave, excluding public holidays.
• Hybrid working with a minimum of 2 days in the office.
• Occasional nationwide travel may be required.
• Salary is fixed and non-negotiable.

Closing Date:Thursday12th November 2026 at 5:00pm.