Applied Data Scientist

Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals.

As industry leaders yes, we really are leaders we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv.

• 2–3 years hands-on as a Data Scientist in a product environment.

• Strong Python (Pandas, NumPy, scikit-learn, PyTorch).

• Classical ML on tabular data — feature engineering, gradient-boosted trees, and model evaluation.

• Hands-on GenAI/LLM application building — RAG, prompt engineering, and evaluation of LLM-based systems.

• Experience building agentic systems — tool use, multi-step workflows, and orchestration.

• Clear technical writing, and the ability to explain a model to a non-technical audience.