We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises.
Requirements
- MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
- 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
- Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
- Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
- Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
- Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
- Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.
Benefits
- Equity
- Private medical insurance
- Unlimited Time Off Policy
- Hybrid work approach
- New starter budget for home office equipment
- Annual learning budget