Data Scientist

1 week ago

New Delhi, India Tytan Technology Inc. Full time

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 RoleWe 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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