AI & Data | Data Science - Energy Resources Industries | Manager
About Deloitte: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.
Our Purpose
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
Our shared values guide the way we behave to make a positive, enduring impact:
- Lead the way
- Serve with integrity
- Take care of each other
- Foster inclusion
- Collaborate for measurable impact
Technical Capabilities:
- on experience (10–15 years) in applied data science, advanced analytics and AI in the Oil and Gas Industry preferably in the Upstream sector.
- series forecasting, anomaly detection, predictive analysis, optimization, and common ML algorithms (tree ensembles, gradient boosting, deep learning architectures).
- augmented generation and prompt engineering.
- driven models to support forecasting, optimization and decision support.
- data frameworks (Spark, Databricks).
- MLOps and production deployment experience: containerisation (Docker), orchestration (Kubernetes), CI/CD for models, model packaging (MLflow, Kubeflow, Seldon), automated monitoring and retraining pipelines.
- Practical experience with cloud ML and data platforms: AWS (SageMaker, EMR), Azure (ML, Databricks), GCP (Vertex), and integration with enterprise data lakes and historian systems (OSIsoft/AVEVA PI).
- Competence in model governance, explainability (SHAP, LIME), validation, performance monitoring and model risk management in regulated/operational environments.
- end solution design.
Functional Capabilities:
- cases with clear business value (production uplift, downtime reduction, energy optimization, emissions reduction, predictive maintenance, process yield improvement).
- value pilots, estimate effort and support pricing and commercial terms.
- Client engagement & account handling: lead technical client workshops, present to executive audiences, translate technical outputs into actionable recommendations and ROI narratives.
- Business development: lead proposals development, technically and commercially, along with quality and risk management journey internally.
- quality artefacts (analysis reports, dashboards, model documentation) and ensure solutions are operationalized and adopted.
- technical stakeholders using dashboards and executive summaries.
- Identify data quality and instrumentation gaps in operational environments and recommend pragmatic remediation strategies.
Leadership Capabilities:
- Embed Deloitte purpose and values in client work and team leadership.
- Lead, mentor and develop multidisciplinary analytics teams; champion best practice, knowledge sharing and capability uplift.
- Take ownership for engagement financials, resource planning, risk management and delivery quality; escalate as appropriate.
- market activities.
- in and drive change adoption.
- suite and technical leadership.
Required Qualifications:
- Bachelor’s or Master’s (or higher) degree in Data Science, Computer Science, Statistics, Mathematics, Engineering (Petroleum/Process), or related discipline.
- 10–15 years’ practical experience in data science, analytics or AI roles with significant, demonstrable exposure to the oil & gas industry (upstream mainly).
- end delivery from requirements and PoC to deployment and monitoring.
- Experience leading proposal development, client BD activities and managing client relationships.
- Strong technical proficiency in the data science stack, cloud platforms and MLOps tooling.
- Excellent communication, stakeholder management and presentation skills; fluent English (written & spoken).
- oriented environment and flexible work hours.
- Willingness to travel across GCC region (50–75% of time).
Additional Preferred Qualifications:
- Experience in Consulting/Big Four is a must, leading consulting firms or global system integrators is a plus.
- Experience with International Oil Companies (IOCs) is preferred.
- Domain certifications or technical credentials in cloud, MLops or industry standards are a plus.
- Arabic language is a plus.
- Publications, patents or recognized contributions in AI/ML or industry analytics is an advantage.
- UA, WITSML) is a plus.