Data Scientist - AI Research (Fintech)

TL;DR

Data Scientist - AI Research (GenAI): Developing and integrating cutting-edge GenAI technologies and agentic workflows into decisioning solutions for banks and insurers with an accent on RAG pipelines and LLM evaluation. Focus on driving research from ideation to production and solving complex business challenges using classical ML and advanced AI.

Company

hirify.global is a provider of mission-critical, cloud-based intelligent decisioning solutions for global insurers and banks.

What you will do

• Lead targeted research projects from initial hypothesis through to production-ready solutions.
• Design and build workflows for LLMs, agentic systems, and modern AI methods.
• Establish and contribute to rigorous evaluation frameworks for LLMs to ensure accuracy and safety.
• Collaborate with developers and product managers to integrate ML features into the core product.
• Implement state-of-the-art AI research and methodologies to accelerate research velocity.

Requirements

• 3 to 5 years of industry experience as an AI Researcher or Data Scientist.
• M.Sc. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Deep theoretical knowledge and hands-on experience with classical ML algorithms and statistical modeling.
• Proven experience building RAG pipelines, agentic workflows, and autonomous AI systems.
• Strong proficiency with AI productivity tools such as Claude Code, Cursor, or GitHub Copilot.
• Ability to communicate complex mathematical concepts to non-technical stakeholders.

Nice to have

• Experience in the Finance domain, such as risk modeling, algorithmic trading, or fraud detection.
• Knowledge of causal inference techniques to measure business impact.
• Experience designing and training deep neural networks using PyTorch or TensorFlow.

Culture & Benefits

• High level of autonomy to execute key research initiatives and impact the product roadmap.
• Direct access to and mandate to work with the latest GenAI models and frameworks.
• Collaborative environment focused on excellence without corporate bureaucracy.