cover image
Feesa Ltd

Feesa Ltd

www.feesa.net

1 Job

3 Employees

About the Company

FEESA Limited is an employee owned engineering consultancy and software developer, specialising in flow assurance and field development planning in the upstream oil and gas industry. Our main focus is on improving the efficiency of projects in the conceptual design phase, when many development solutions and technical issues must be investigated by a small design team within tight deadlines. To achieve this, FEESA has developed Maximus, a Flow Assurance and Integrated Production Modelling simulator that is designed to fit in with the work flow of engineering teams better than any other flow assurance simulator. Maximus speeds up the interface between flow assurance and the other key engineering interfaces (such as subsurface, pipelines, corrosion and topsides engineering, etc) and in doing so improves the speed at which the whole engineering team works towards a technically sound and economically viable project. FEESA's consultancy skills cover the full range of flow assurance requirements, including Steady State Thermal Hydraulic Modelling, Deliverability Modelling, Transient Multiphase Modelling, Flow Assurance Operability Studies, Specialist Fluid Flow Studies & Expert Witness and Forensic work. Using Maximus and/or our consultancy, Operators, Consultancies and Contractors are finding never before seen efficiencies in their analysis of complex upstream oil and gas systems. This has led to a steady growth in the uptake of Maximus throughout the industry.

Listed Jobs

Company background Company brand
Company Name
Feesa Ltd
Job Title
Simulation & Data Science Presales Lead
Job Description
**Job Title** Simulation & Data Science Pre‑Sales Lead **Role Summary** Act as the technical bridge between advanced simulation, data science, and AI solutions and potential industrial clients. Lead the creation, delivery, and technical support of tailored product demonstrations, proofs‑of‑concept, and pilots to articulate value and win business opportunities. Collaborate closely with sales, product, and engineering teams to translate customer operational challenges into software‑based solutions and to influence product roadmap through feedback. **Expactations** - Deliver expert technical presentations, demonstrations, and proofs‑of‑concept that clearly show ROI and technical feasibility. - Translate customer KPIs and operational pain points into actionable simulation and data‑science solutions. - Respond timely and convincingly to RFPs, technical questionnaires, and proposal requests. - Build and maintain trusted advisor relationships with technical stakeholders and decision‑makers. - Provide continuous learning and knowledge sharing to keep the team current on industry trends and competitive solutions. **Key Responsibilities** - Design first‑principles‑based simulation models tailored to refinery and industrial processes, integrating AI and data‑science components for predictive enhancement. - Prepare and deliver customized demos, presentations, and pilots that showcase technical and business value. - Collaborate with sales, product, and engineering to align customer requirements with product capabilities and roadmap. - Draft technical content for proposals, whitepapers, and product documentation. - Support technical evaluation during pilots/trials, ensuring successful deployment and satisfaction. - Provide feedback to product and engineering to shape future releases based on customer insights. - Manage contract‑related client interactions and maintain relationship health. - Lead improvement initiatives by identifying gaps in processes and proposing changes. **Required Skills** - Expertise in simulation tools (e.g., finite‑element, CFD, process simulators) and first‑principles modeling. - Strong data‑science and AI background: analysis, modeling, and deployment skills. - Excellent technical communication: presentation, documentation, and proposal writing. - Customer‑focused mindset with ability to translate technical solutions into business benefits. - Project management capability for small‑ to medium‑scale initiatives. - Familiarity with refinery or comparable industrial processes and KPIs. - Ability to work collaboratively across sales, product, and engineering functions. **Required Education & Certifications** - Bachelor’s or Master’s degree in Mechanical Engineering, Chemical Engineering, Industrial Engineering, Computer Science, Data Science, or a related technical discipline. - Valid credentials in simulation or data‑science platforms (e.g., MATLAB/Simulink, ANSYS, Aspen Plus, Python/R data‑science, AI/ML certifications) are strongly preferred.
Walton-on-thames, United kingdom
On site
Senior
08-09-2025