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Personetics is a cognitive banking platform that uses AI to help financial institutions anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. The platform analyzes real-time transactional data to enable banks to proactively support customers in managing finances and reaching financial goals.
The company partners with leading global financial institutions, serving over 150 million customers monthly across 35 markets. Personetics operates offices in New York, London, Singapore, São Paulo, and Tel Aviv.
As an Applied Data Scientist, you will work on developing and deploying machine learning models that drive the core value proposition of the platform. You will collaborate with product, engineering, and business teams to translate business problems into data science solutions, build predictive models for customer behavior and financial outcomes, and optimize algorithms for real-time performance at scale.
Your responsibilities will include designing experiments to validate hypotheses, analyzing transactional and behavioral data to uncover patterns, implementing end-to-end ML pipelines, and monitoring model performance in production. You will contribute to the technical roadmap and help establish best practices for data science across the organization.
This role is based in Tel Aviv and offers the opportunity to work on high-impact problems in fintech with a proven, well-funded company serving some of the world's largest banks.
Requirements: The posting provided does not specify explicit requirements such as years of experience, required skills, education, or certifications.
