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Kindly share resume - Contact - Swetha (91-8826247648)Job Title: Head of Data ScienceExperience: 7+ yearsLocation: GurgaonReporting: Top Management (CXO Level)CTC: 35 LPA to 45 LPA6 Days Working, Alternate Saturday OFFKey ResponsibilitiesStrategic Leadership & RoadmapEnd-to-End Tech Stack Ownership: Define, own, and evolve the complete data science and analytics technology stack to ensure scalability and performance.Business Roadmap & ROI: Develop and execute a data analytics-driven business roadmap, ensuring every initiative is aligned with organizational goals and delivers measurable Return on Investment (ROI).Executive Decision Support: Create and present high-impact executive decision packs, providing actionable insights that drive key business strategies.Model Design & Deployment (Hands-on)Hands-on Development: Lead by example with hands-on involvement in AI modeling, machine learning model design, and algorithm development using Python.Deployment & Ops: Oversee and execute the deployment of models into production environments, ensuring reliability, scalability, and seamless integration with existing systems.Leverage expert-level knowledge of Google Cloud Agentic AI, Vertex AI and BigQuery to build advanced predictive models and data pipelines.Develop business dashboards for various sales channels and drive data driven decision making to improve sales and reduce costs.Governance & QualityData Governance: Establish and enforce robust data governance frameworks, ensuring data accuracy, security, consistency, and compliance across the organization.Best Practices: Champion best practices in coding, testing, and documentation to build a world-class data engineering culture.Collaboration & InnovationWork closely with Product, Engineering, and Business leadership to identify opportunities for AI/ML intervention.Stay ahead of industry trends in AI, Generative AI, and financial modeling to keep Bajaj Capital at the forefront of innovation.Must-Have Skills & ExperienceExperience:At least 7 years of industry experience in Data Science, Machine Learning, or a related field.Proven track record of applying AI and leading data science teams or initiatives that resulted in significant business impact.Technical Proficiency:Core Languages: Proficiency in Python is mandatory, with strong capabilities in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.Cloud Data Stack: Expert-level command of Google Cloud Platform (GCP), specifically Agentic AI, Vertex AI and BigQuery.AI & Analytics Stack: Deep understanding of the modern AI and Data Analytics stack, including data warehousing, ETL/ELT pipelines, and MLOps.Visualization: PowerBI in combination with custom web/mobile applications.Leadership & Soft Skills:Ability to translate complex technical concepts into clear business value for stakeholders.Strong ownership mindset with the ability to manage end-to-end project lifecycles.Experience in creating governance structures and executive-level reporting.Good-to-Have / PlusDomain Expertise: Prior experience in the BFSI domain (Wealth Management, Insurance, Mutual Funds, or Fintech).Certifications: Google Professional Data Engineer or Google Professional Machine Learning Engineer certifications.Advanced AI: Experience with Generative AI (LLMs), RAG architectures, and real-time analytics.EducationB.Tech / B.E. / MCA / M.Sc or equivalent in Computer Science, Statistics, Mathematics, or Data Science.