AI and ML Simulation Specialist

AI and ML Simulation Specialist will provide technical expertise in gas network modelling, data analysis, and decision support for large-scale gas distribution systems. The role supports operational planning, regulatory compliance, business development, and future network innovation through advanced modelling, analytics, and industry best practice.

• Develop, maintain, and apply gas distribution network models using industry-recognized commercial modelling packages.

• Analyze large gas distribution network datasets using SCADA, GIS, and other operational data sources.

• Apply data processing, statistical techniques, and data-driven modelling approaches to support network planning, optimization, and risk assessment.

• Interpret and apply UK gas industry standards, regulations, statutory requirements, and regulatory priorities in all modelling activities.

• Produce high-quality technical reports, model outputs, and written analyses for internal and external stakeholders.

• Contribute to the development of new modelling tools, methodologies, and research aligned with future industry needs.

• Deliver training and technical support to internal staff and external clients on gas distribution modelling tools and methodologies.

• Act as a subject matter expert, supporting capability development across the modelling team

• Support successful project delivery by providing robust technical input, problem-solving, and quality assurance.

• Contribute to business development activities, including proposals, technical scopes, and client engagement.

• Support innovation initiatives and continuous improvement in modelling practices.

• Demonstrate solid leadership through critical thinking, independent decision-making, and proactive problem-solving.

• Work independently while collaborating effectively with colleagues across the gas modelling and wider engineering teams.

• Take initiative to identify issues, develop solutions, and drive progress without close supervision.

Qualifications:

• Degree in a relevant subject area (e.g. Engineering, Mathematics, Physics, Data Science) or equivalent professional experience.

• 2+ years of experience in procurement, logistics, or supply chain operations.

• Experience with gas distribution commercial modelling software.

• Strong skills in SCADA and GIS applied to large gas distribution networks.

• Advanced data processing, statistical analysis, and data-driven modelling skills.

• Proven ability to analyze data and produce clear, well-structured written outputs.

• Strong proficiency in Azerbaijani and English (written and verbal) Russian language is a plus

Why Esyasoft Holding?

At Esyasoft, we’re transforming the energy landscape with cutting-edge solutions in Smart Grids, IoT, and more. Join a global team driving sustainability and innovation while building a fulfilling career.