Data Science jobs in Israel

Own AI- and LLM-powered fraud and risk detection products from modeling and evaluation through production monitoring. Partner with engineering teams to deploy models in real-time and batch systems and improve measurable product outcomes.

Join an advertising technology company’s Algorithms team in Tel Aviv to develop and deploy machine learning models for real-time bidding, pricing, recommendation, and auction optimization.

Own the data science lifecycle for AI- and LLM-powered fraud and risk detection products, including modeling, prompt design, evaluation, experimentation, and production performance.

Join a fintech company developing algorithmic trading infrastructure for hedge funds, proprietary trading firms, and institutional investors. Work on systematic strategies and collaborate with research and engineering teams in an on-site Tel Aviv role.

Lead a hands-on data science function for an investment firm managing consumer debt portfolios across Australian and European markets. Own production models, retraining infrastructure, feedback loops, and an agentic AI layer that brings model outputs to portfolio managers and business stakeholders.

Lead the design, development, and scaling of AI-driven platforms, data infrastructure, and analytics systems for an investment firm and its portfolio companies. This hands-on senior role covers architecture, coding, production delivery, business research, and AI-led transformation.

Join a core data science team developing generative AI, agentic systems, classical machine learning, and statistical models for scalable product solutions.

Develop and operationalize production data science solutions for satellite and RAN systems, including performance analytics, anomaly detection, quality scoring, forecasting, and service scheduling.

An electricity system operator is seeking an engineer to prepare national electricity demand and load forecasts, evaluate forecasting methods, and support operations teams with weather-related updates.

Join a central role focused on implementing data and NLP solutions, analyzing clinical and business requirements, processing medical text, and supporting advanced analytical and research tasks.