Data Scientist / AI Engineer – Energy & Asset Intelligence

Please apply directly or send your resume to request@tytantech.com with the subject line : “Application – Data Scientist / AI Engineer – Energy & Asset Intelligence”

About the Role

We are seeking a highly skilled Data Scientist / AI Engineer to join our growing AI & Analytics Team within a leading Oil & Gas Private Equity firm. This role is ideal for individuals who combine strong data science and software engineering expertise with a deep understanding of energy markets, operations, or asset optimization . You’ll work closely with our investment, engineering, and technology teams to develop advanced models and data-driven products that enhance decision-making across exploration, production, asset management, and capital allocation.

Key Responsibilities

• Design and implement AI and ML models that support investment analysis, production forecasting, equipment optimization, and market intelligence.
• Build end-to-end data pipelines for data ingestion, transformation, and feature engineering using structured and unstructured datasets (production logs, financial data, IoT, etc.).
• Develop and deploy machine learning solutions (predictive, prescriptive, generative) leveraging modern frameworks (PyTorch, TensorFlow, Scikit-learn, LangChain, etc.).
• Collaborate with engineers, investment analysts, and domain experts to translate business challenges into analytical solutions .
• Work on GenAI and NLP-based applications for unstructured document analysis, deal evaluation, and portfolio reporting.
• Write production-grade, scalable code for ML pipelines and APIs (Python, FastAPI, Flask, etc.).
• Conduct exploratory data analysis (EDA) , model validation, and performance tracking using statistical and visualization techniques.
• Contribute to cloud-based ML workflows (Azure, AWS, or GCP), including containerization (Docker) and orchestration (Kubernetes).
• Support internal innovation projects on Agentic AI, MLOps, and generative intelligence for operational insights .

Qualifications

Preferred Experience (Nice-to-Have)