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.
Role Overview
We 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 Responsibilities
Leadership & 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 recommendations
Required 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 (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 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 attitude
Preferred 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 fintechs
What 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
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