We are looking for a Business Analyst for one of our clients with the following details:

Location: Onshore, Abu Dhabi, UAE

Start Date: ASAP

Contract Duration: 6 months (extendable depending on project duration) under MPH contract & sponsorship

Qualification and Experience Required:

• Bachelor’s degree in a quantitative, engineering, or technical field (e.g. Engineering, Computer Science, Data Science, Mathematics, Statistics). Master’s / advanced degree is a plus.
• Must have 7 years of experience in business analysis or product analytics in the Oil & Gas or energy sector; prior exposure to AI projects.
• Strong analytical and quantitative skills; ability to work with large, complex data sets.
• Experience with tools and languages relevant to data science / AI workflows: SQL, Python / R, data visualization tools (Power BI, Tableau, etc.).
• Understanding of AI/ML concepts: model training, validation, overfitting/underfitting, metrics (precision, recall, ROC, etc.).
• Excellent communication skills: able to bridge between domain experts (engineers, geoscientists, operations) and technical teams; explain complex technical issues in business-friendly terms.
• Proven ability in requirements gathering, stakeholder management, creating functional spec documents, user stories, use-cases.
• Experience in monitoring model performance, handling data quality issues, and iterative model improvement.
• Strong organizational skills, ability to manage multiple projects, priorities, and ambiguity.

Key Responsibilities

• Engage with operations, engineering, and management stakeholders in Oil & Gas projects to understand business needs and identify opportunities where AI can add value (e.g. predictive maintenance, production optimization, drilling performance).
• Define, document, and prioritize AI use cases; develop business cases with cost-benefit and ROI analysis.
• Translate business requirements into technical specifications for Data Scientists and AI Engineers; define success metrics and KPIs linked to business objectives.
• Work with data teams to ensure high quality, relevant datasets: identify data sources, assess data integrity, clean, preprocess, and validate data.
• Support model development efforts by ensuring assumptions, constraints, and domain knowledge are properly communicated and incorporated.
• Assist in prototyping, testing, validating and deploying machine learning / AI models; ensure user acceptance, performance tracking, and continuous improvement.
• Develop dashboards and visualizations to present model results, insights, and recommendations to both technical and non-technical stakeholders.
• Monitor deployed models: evaluate performance, detect drift, manage versioning, suggest retraining or refinements as needed.
• Ensure compliance with safety, ethical standards, regulatory requirements, and corporate policies around AI usage, data privacy, bias, etc.
• Facilitate knowledge sharing and documentation: use-cases, model behavior, limitations, lessons learned.

If Interested Kindly apply.