eiGroup

At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage.

We’re an R&D and Innovation Venture Studio that transforms human ingenuity into technological value that scales.

Our ecosystem brings together researchers, engineers, and creators who turn complex challenges into scalable products - from subsurface imaging to AI-driven analytics, from remote sensing to digital transformation.

Our ventures are built in-house, born from research, and grown into independent companies.

Together, we’re shaping how innovation takes root in this region - and how it reaches the world.

• → Deliver petroleum engineering research objectives aligned with the team’s subsurface, production, and field-development roadmap, ensuring execution against defined milestones and timelines.

• →Analyze, QC well performance data, gauge data analysis, understanding and interpretation of well performance based on gauge and other data.

• →Support data validation, quality control, and structured data entry for petroleum engineering datasets, including well, production, and operational data.

• →Assist senior engineers and researchers with technical studies, and industry-facing articles related to reservoir performance, drilling, completion, and production optimization.

• →Apply both qualitative engineering judgment and quantitative analysis (statistics, trend analysis, correlations) in subsurface and production studies.

• →Design data-collection templates, workflows, and procedures for petroleum engineering research projects, including field data capture and post-processing.

• →Communicate and present engineering findings, interpretations, and recommendations to management, partners, and clients in a clear and structured manner.

• →Collaborate closely with product design, software engineering, data science, and client teams to translate petroleum engineering workflows into digital and analytical solutions.

• →Contribute to the design, implementation, and evaluation of petroleum engineering studies, including field pilots, algorithm validation, and performance assessment.

• BSc or MSc in Petroleum Engineering or a related field.

• Comfortable with coding and scripting for engineering and data analysis tasks (e.g., using Python or MATLAB)

• Familiarity with data science tools and libraries (e.g., Pandas, NumPy, Matplotlib, Excel)

• 1+ years' experience in relevant field

• Strong understanding of reservoir and production engineering fundamentals

• Ability to independently read and summarize technical papers and industry research

• Ability to work with field data: clean, analyze, and interpret results to support engineering decisions

• Good knowledge of research methodologies

• Good statistical and mathematical aptitude