At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.RequirementsJob Description: Lead Data Scientist (Fintech / Banking)Role OverviewWe are seeking a Lead Data Scientist with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. The ideal candidate has a strong track record of leading high‑performing teams (5-10 members), delivering scalable ML solutions, and operating with high agility in fast‑paced environments.Key ResponsibilitiesLeadership & Strategy Lead, mentor, and grow a team of 5-10 data scientists and ML engineers Define the data science roadmap aligned with business, product, and engineering goals Drive end‑to‑end ownership of ML models — from ideation to deployment and monitoring Collaborate with cross‑functional stakeholders (Product, Engineering, Risk, Compliance, Business)Technical Execution Build and optimize predictive models for credit risk, fraud detection, customer segmentation, churn prediction, and personalization Architect scalable ML pipelines using modern data platforms Conduct exploratory data analysis, feature engineering, and model validation Ensure model governance, fairness, explainability, and regulatory compliance (especially in BFSI)Operational Excellence Champion agile methodologies, rapid experimentation, and iterative delivery Implement best practices in versioning, CI/CD for ML, and model monitoring Translate complex data insights into clear, actionable business recommendationsRequired Skills & Experience 8+ years of hands‑on experience in Data Science, ML, or Applied AI Proven experience leading teams of 5-10 in high‑velocity environments Strong background in fintech, digital banking, payments, lending, or risk analytics Expertise in: Python, SQL ML frameworks (Tensor Flow, PyTorch, Scikit‑Learn) Cloud platforms (AWS, GCP, Azure) MLOps tools (Sage Maker, MLflow, Kubeflow, Airflow) Deep understanding of statistical modeling, supervised/unsupervised learning, NLP, and time‑series forecasting Experience working with large‑scale data pipelines and distributed systems Strong communication skills with the ability to influence senior stakeholders High agility, ownership mindset, and a positive, collaborative attitudePreferred Qualifications Experience in credit scoring, fraud analytics, or regulatory‑grade model development Exposure to real‑time decisioning systems Prior experience in startups or high‑growth fintechsWhat We Offer Opportunity to lead high‑impact data science initiatives in a rapidly scaling fintech environment Cross‑functional ownership and autonomy Competitive compensation and performance‑based rewards Collaborative, innovation‑driven culture