Data Scientist

Description

Defining how AI and finance work together — securely, intelligently, and at scale. 
We at Unique AI are building a generative AI platform that financial institutions trust with high-stakes work: finance-grade in its reliability, auditability, and security. Banks, asset managers, and hedge funds use our platform to put LLM-based agents to work inside real workflows — investment research, client advisory, risk, and compliance. Our mission is to augment financial professionals, not replace them: AI takes on the repetitive and routine so people can spend their time on judgment, clients, and performance. We offer an inclusive environment at Unique and we encourage all genders and all neuro-diversities to apply.

We are now looking for at least 2 Data Scientists to join our London team

1.  Data Scientist (Core): 80% internal, 20% client facing
2.  Data Scientist (Forward Deployed): 80-100% client facing, 0-20% internal (where appropriate)

In both cases, we are looking for data scientists who are passionate about developing AI agents using Unique AI's SDK for the Financial Services Industry. 

Requirements

• Experience: 4+ years of experience as a data scientist
• Hands-on experience with LLMs: including tool calling and low-level experimentation beyond frameworks, as well as prompt engineering for customer use cases
• Production GenAI delivery: demonstrated experience designing, deploying, operating and evaluating LLM-based applications in production environments, including agentic systems with tool calling and orchestration
• Solid understanding of AI systems and their functionalities, such as deep research and other applied AI techniques, combined with strong Python coding skills to translate these concepts into production-ready workflows and maintain robust AI pipelines - ideally with experience deploying multi-agent systems
• History of successfully delivering projects for clients: translating customer requirements into tailored solutions
• Industry expertise: expertise in financial services environments (private banking, wealth/ asset management, insurance) is a plus
• Languages: English (French and/ or German is a plus)
• Education: Master’s or Ph.D. degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field