Data Science SME- Manager Grade

Job Description Roles & Responsibilities My client is seeking a highly experienced AI & Production Optimization Subject Matter Expert (SME) with strong expertise in LNG/Oil & Gas operations, Machine Learning, Deep Learning, and Mathematical Optimization. Key Responsibilities: Review and validate upstream and midstream gas supply process models, including operational and process constraints. Assess production forecasts for overall gas production and component-level yields (C1, C2, C3, C4, and C5+). Review and validate feature engineering, data quality, and model design used in Machine Learning and Deep Learning solutions. Evaluate AI-based production optimization approaches and identify opportunities to improve model accuracy, operational efficiency, and profitability. Recommend enhancements to model parameters, feature selection, constraint prioritization, and optimization strategies. Support production planning, scheduling, and commercial decision-making through predictive analytics and optimization solutions. Translate complex technical concepts and AI outputs into clear, business-focused recommendations for stakeholders. Required Skills & Experience: Strong expertise in Python, Machine Learning, Deep Learning, and optimization techniques. Hands-on experience with models such as LSTM, SARIMA, Kalman Filters, SVR, Ridge Regression, probabilistic models, and ensemble approaches. Strong understanding of feature engineering, model validation, overfitting prevention, and time-series forecasting. Experience with Linear Programming, constraint-based optimization, and production optimization methodologies. Ability to interpret and challenge mathematical models and optimization equations. Strong understanding of LNG and Oil & Gas processing operations across upstream, midstream, and LNG value chains. Proven ability to review hybrid AI solutions and provide SME-level recommendations to improve technical performance and business outcomes. Preferred Experience: 10+ years of experience in LNG, Oil & Gas, Advanced Analytics, AI/ML, or Production Optimization. Experience supporting digital transformation, process simulation, and AI-driven optimization initiatives within the energy sector. Desired Candidate Profile Strong expertise in Python, Machine Learning, Deep Learning, and optimization techniques. Hands-on experience with models such as LSTM, SARIMA, Kalman Filters, SVR, Ridge Regression, probabilistic models, and ensemble approaches. Strong understanding of feature engineering, model validation, overfitting prevention, and time-series forecasting. Experience with Linear Programming, constraint-based optimization, and production optimization methodologies. Ability to interpret and challenge mathematical models and optimization equations. Strong understanding of LNG and Oil & Gas processing operations across upstream, midstream, and LNG value chains. Proven ability to review hybrid AI solutions and provide SME-level recommendations to improve technical performance and business outcomes. Preferred Experience: 10+ years of experience in LNG, Oil & Gas, Advanced Analytics, AI/ML, or Production Optimization. Experience supporting digital transformation, process simulation, and AI-driven optimization initiatives within the energy sector. Company Industry Oil & GasPetroleum Department / Functional Area IT Software Keywords Data Science SME- Manager Grade Get real-time job updates only on our App