About us:Where elite tech talent meets world-class opportunities!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.About the Client:Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.RequirementsRole OverviewWe are seeking a Lead Data Scientist (Fintech / Banking) 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 & StrategyLead, mentor, and grow a team of 5-10 data scientists and ML engineersDefine the data science roadmap aligned with business, product, and engineering goalsDrive end‑to‑end ownership of ML models — from ideation to deployment and monitoringCollaborate with cross‑functional stakeholders (Product, Engineering, Risk, Compliance, Business)Technical ExecutionBuild and optimize predictive models for credit risk, fraud detection, customer segmentation, churn prediction, and personalizationArchitect scalable ML pipelines using modern data platformsConduct exploratory data analysis, feature engineering, and model validationEnsure model governance, fairness, explainability, and regulatory compliance (especially in BFSI)Operational ExcellenceChampion agile methodologies, rapid experimentation, and iterative deliveryImplement best practices in versioning, CI/CD for ML, and model monitoringTranslate complex data insights into clear, actionable business recommendationsRequired Skills & Experience8+ years of hands‑on experience in Data Science, ML, or Applied AIProven experience leading teams of 5-10 in high‑velocity environmentsStrong background in fintech, digital banking, payments, lending, or risk analyticsExpertise in:Python, SQLML frameworks (TensorFlow, PyTorch, Scikit‑Learn)Cloud platforms (AWS, GCP, Azure)MLOps tools (SageMaker, MLflow, Kubeflow, Airflow)Deep understanding of statistical modeling, supervised/unsupervised learning, NLP, and time‑series forecastingExperience working with large‑scale data pipelines and distributed systemsStrong communication skills with the ability to influence senior stakeholdersHigh agility, ownership mindset, and a positive, collaborative attitudePreferred QualificationsExperience in credit scoring, fraud analytics, or regulatory‑grade model developmentExposure to real‑time decisioning systemsPrior experience in startups or high‑growth fintechsWhat We OfferOpportunity to lead high‑impact data science initiatives in a rapidly scaling fintech environmentCross‑functional ownership and autonomyCompetitive compensation and performance‑based rewardsCollaborative, innovation‑driven culture