AI Data Analyst - Production Optimization - Oil & Gas

Job Description:

• Perform advanced data analysis on production and operational datasets to identify performance trends, inefficiencies, and optimization opportunities.

• Assist in developing and training AI/ML models (forecasting, anomaly detection, optimization, predictive maintenance).

• Build and maintain cloud-based data workflows and analytical pipelines (AWS or Alibaba Cloud).

• Integrate external/public datasets (weather, market, satellite, macro trends) into AI models and analyses.

• Create dashboards, data visualizations, and automated insights for engineering and operations teams.

• Translate business and operational questions into AI/analytics solutions that support strategic and operational goals.

• Support digital transformation and AI initiatives through documentation, prototyping, and cross-functional collaboration.

Job Requirements

• Bachelor's degree in Data Science, Computer Science, Engineering, or related field.

• 3 years of experience in data analytics, AI/ML, or operations analytics (oil & gas preferred).

• Strong skills in Python and SQL familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch).

• Experience working with cloud platforms (AWS or Alibaba Cloud) for data and AI workloads.

• Understanding of production/operational data and basic oil & gas processes.

• Ability to build dashboards and visualizations (Power BI, Tableau, or equivalent).

• AI, cloud, or data certifications (AWS ML, Alibaba AI Engineer, Google Data Analytics) are an advantage.

• Strong analytical, problem-solving, and communication skills.

HOW TO APPLY:

Interested applicants, please click on Apply Now and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website .

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Jordan Fung Si Jong

EA Personnel Reg No: R23112945