Senior Data Scientist / Analytics Engineer Palantir Foundry (New Delhi)

About the Company ThreatXIntel is a fast-growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. Our expertise spans cloud security, web & mobile application security testing, DevSecOps, vulnerability assessments, IT consulting, and skilled staffing services. We support global corporate clients by deploying skilled professionals across IT and finance domains, helping organizations strengthen compliance, optimize operations, and scale efficiently. About the Role We are seeking an experienced Senior Data Scientist / Analytics Engineer to support critical analytics, forecasting, and machine learning initiatives within the Utilities domain. The ideal candidate will have strong expertise in Python, SQL, statistical modeling, forecasting, and cloud-based analytical platforms, with hands-on experience in Palantir Foundry or similar data platforms. This role involves developing scalable analytical solutions, building predictive models, and transforming complex datasets into actionable business insights for stakeholders. Key Responsibilities - Design, develop, and deploy statistical, forecasting, and machine learning models. - Build reproducible analytical pipelines and data products using Palantir Foundry (Code Workbooks, Ontology, Pipelines). - Perform advanced analysis on large-scale datasets including time-series, scenario, market, network, and policy data. - Create dashboards, visualizations, and analytical reports for business stakeholders. - Collaborate with Data Engineers, Analysts, Product Teams, and Business Users. - Ensure compliance with data governance, lineage, quality, and assurance standards. - Maintain model documentation, version control, and reusable analytical assets. - Support Utilities Network Operations use cases through advanced analytics and forecasting. Required Skills - Strong Python expertise (Pandas, NumPy, Scikit-Learn, StatsModels) - Advanced SQL development skills - Forecasting and Predictive Analytics - Statistical Modeling and Machine Learning - Time-Series Analysis - Scenario Analysis - Palantir Foundry (Preferred) - Cloud Data Platforms - Data Visualization and Storytelling - Utilities / Network Operations Domain Experience About the Company ThreatXIntel is a fast-growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. Our expertise spans cloud security, web & mobile application security testing, DevSecOps, vulnerability assessments, IT consulting, and skilled staffing services. We support global corporate clients by deploying skilled professionals across IT and finance domains, helping organizations strengthen compliance, optimize operations, and scale efficiently. About the Role We are seeking an experienced Senior Data Scientist / Analytics Engineer to support critical analytics, forecasting, and machine learning initiatives within the Utilities domain. The ideal candidate will have strong expertise in Python, SQL, statistical modeling, forecasting, and cloud-based analytical platforms, with hands-on experience in Palantir Foundry or similar data platforms. This role involves developing scalable analytical solutions, building predictive models, and transforming complex datasets into actionable business insights for stakeholders. Key Responsibilities - Design, develop, and deploy statistical, forecasting, and machine learning models. - Build reproducible analytical pipelines and data products using Palantir Foundry (Code Workbooks, Ontology, Pipelines). - Perform advanced analysis on large-scale datasets including time-series, scenario, market, network, and policy data. - Create dashboards, visualizations, and analytical reports for business stakeholders. - Collaborate with Data Engineers, Analysts, Product Teams, and Business Users. - Ensure compliance with data governance, lineage, quality, and assurance standards. - Maintain model documentation, version control, and reusable analytical assets. - Support Utilities Network Operations use cases through advanced analytics and forecasting. Required Skills - Strong Python expertise (Pandas, NumPy, Scikit-Learn, StatsModels) - Advanced SQL development skills - Forecasting and Predictive Analytics - Statistical Modeling and Machine Learning - Time-Series Analysis - Scenario Analysis - Palantir Foundry (Preferred) - Cloud Data Platforms - Data Visualization and Storytelling - Utilities / Network Operations Domain Experience