> Markdown version of [/jobs/ext/3236535-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/3236535-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Moss - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Automation of Tests, Python (Programming Language), Pytorch, Large Language Models, Scikit Learn, Xgboost, Machine Learning Operations - **Published:** September 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4305ebf3706cfcd8 ## About the Role * 5-10+ years in applied ML with production ownership of shipping models/systems. * Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production. * Strong Python + ML stack (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills. * Strategic Problem Solver: You approach ambiguous problems by deeply understanding business context and framing data science solutions that drive meaningful outcomes. You rigorously validate assumptions, identify root causes, and prioritize solving the right problem before building. * End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities. You ensure solutions are scalable, monitored, and maintained with thoughtful evaluation, deployment, and iteration strategies ## Description * Own LLM/ML pipelines for extraction, classification, anomaly detection, and recommendations. * Define evaluation & monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking. * Productionize with Platform/Data Eng: bring your models live and iterate/improve until they are adopted by your stakeholders