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Data Scientist / AI Engineer – Energy & Asset Intelligence

Data Scientist / AI Engineer – Energy & Asset Intelligence

Tytan Technology Inc.Coimbatore, IN
2 days ago
Job description

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

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Petroleum Engineering, Applied Mathematics, or related fields .
  • 3–7 years of hands-on experience in data science, AI engineering, or ML operations, preferably in Oil & Gas, Energy, or Financial Services sectors.
  • Proven ability to design and implement ML algorithms , time-series models, and optimization techniques.
  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow).
  • Experience with data querying and processing tools (SQL, PySpark, Databricks, or Snowflake).
  • Knowledge of GenAI / LangChain / OpenAI API for automation or analytical applications.
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and CI / CD pipelines for ML deployment.
  • Excellent analytical, problem-solving, and communication skills, with the ability to work cross-functionally in technical and investment teams.

    • Preferred Experience (Nice-to-Have)

  • Exposure to energy trading analytics , asset performance modeling , or reservoir data analysis .
  • Experience in developing AI copilots or internal chatbots using enterprise data.
  • Understanding of financial modeling or risk analysis in private equity or investment environments.
  • Experience integrating LLMs or knowledge graphs for document intelligence or portfolio insights.
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    Data Scientist • Coimbatore, IN