Data Scientist

1 week ago

Delhi, India Tytan Technology Inc. Full time

Please apply directly or send your resume to 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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