Senior Data Scientist

Lead design, development, testing, and production deployment of AI-powered agentic solutions including multi-agent workflows integrated with enterprise platforms and data sources.

Translate business needs into operational agent goals, workflow logic, exception handling and human-in-the-loop controls to ensure reliable and secure AI application in real-world processes.

Establish evaluation and observability practices to monitor AI solution quality, safety, latency, and cost, ensuring continuous optimisation and compliance within enterprise settings.

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field; Master's degree preferred.

6+ years of experience in data science, machine learning, applied AI, or software engineering with production delivery experience.

Strong hands-on experience with LLM-powered applications including prompt engineering, retrieval-augmented generation (RAG), workflow orchestration, enterprise integrations, and human-in-the-loop processes.

Proficiency in Python and SQL with experience in source control, CI/CD, testing, deployment, and monitoring for AI or ML solutions; role is 100% in office (no remote).

Experienced in operationalizing complex AI agents and workflows within large enterprise systems demonstrating strategic impact in SMB or mid-market environments.

Proficient in integrating LLMs with heterogeneous enterprise platforms and data sources with a strong focus on compliance, security, and responsible AI governance.

Skilled at autonomous delivery end-to-end from requirements gathering through production with cross-functional collaboration including product, engineering, security, and compliance teams.