Description
Personetics harnesses AI to help financial institutions deliver data-driven guidance that empowers customers to make smarter spending and saving decisions. Using our technology, banks can act on their transaction data in real-time to offer timely, contextual insights that drive engagement, deepen customer relationships, and fuel business growth. As industry leaders—yes, we really are leaders—we serve 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.
About the position
We are seeking an experienced Senior Data Scientist to advance cutting-edge Machine Learning (ML) & Deep Learning (DL) research as well as Generative AI (GenAI) innovation. This role offers the opportunity to develop and optimize ML models while also pioneering innovative AI applications. You’ll work on both structured, production-ready AI systems and experimental, next-generation AI solutions, adapting based on business needs.
If you love both rigorous ML development and creative AI prototyping, this is the perfect role for you!
Responsibilities
ML/DL Research & Applied Data Science:
- Develop, optimize, and deploy ML/DL models aligned with business goals.
- Conduct data exploration, preprocessing, and model enhancement to improve performance.
- Implement robust model monitoring pipelines to ensure reliability and mitigate drift.
- Collaborate with engineering & product teams to integrate AI solutions into production systems.
Generative AI & Innovation:
- Design and develop proof-of-concepts (PoCs) and rapid prototypes for emerging AI use cases.
- Implement LLMs, Retrieval-Augmented Generation (RAG), agent-based AI, and multimodal AI solutions.
- Stay ahead of AI trends, applying state-of-the-art GenAI techniques in real-world settings.
- Present innovative AI solutions to internal teams and clients, iterating based on feedback.
Requirements
- 4-7 years in Data Science, Machine Learning, or AI Research.
- Proficiency in Python (PyTorch, TensorFlow, Hugging Face, Pandas, NumPy).
- Expertise in ML/DL modelling & Generative AI (LLMs, RAG, reinforcement learning).
- Strong analytical skills for structured & unstructured data.
- Ability to translate academic research into real-world applications.
- Excellent communication & collaboration skills.
Nice to have
- Experience with cloud platforms (AWS, Azure, GCP).
- Background in FinTech, Banking, or AI-driven products.
- Familiarity with multimodal AI solutions (text, image, audio).
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What We Do
Money Management & PFM for Banks & Financial Institutions. Personetics serves hundreds of banks and financial institutions across 30 global markets. See how your bank can harness the power of AI to engage customers and increase revenue with financial data-driven personalized customer engagement, PFM, and money management platform. Harnessing the power of AI, Personetics’ Self-Driving Finance™ solutions are used by the world’s largest financial institutions to transform digital banking into the center of the customer’s financial life – providing real-time personalized insight and advice, automating financial decisions, and simplifying day-to-day money management. Serving over 135 million bank customers worldwide, Personetics has the largest direct customer impact of any AI solution provider in banking today. Personetics now counts among its customers 6 of the top 12 banks in North America and Europe, as well as other leading banks throughout the world. Personetics is the global leader in financial-data-driven personalized banking and customer engagement for financial services and the company behind the industry’s first Self-Driving Finance™ platform. Led by a team of seasoned FinTech entrepreneurs with a proven track record, Personetics is a rapidly growing company with offices in New York, London, Paris, Singapore, Tokyo, Tel Aviv and Nazareth. The company has been named a Gartner Cool Vendor, a Top Ten FinTech Company by KPMG, and a Top Ten Company to Watch by American Banker









