> Markdown version of [/jobs/ext/4573920-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/4573920-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:** gb Data Careers - **Location:** East London, UK (Remote available) - **Experience:** Expert - **Salary:** £65,000.0 - £70,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Information Engineering, Python (Programming Language), Linear Programming, Machine Learning, Operational Databases, Search Technologies, Software Systems, Web Application Frameworks, Pytorch, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Generative AI, Fastapi, Pyspark, Production Code, Machine Learning Operations, Api Design, Data Pipelines, Databricks - **Published:** November 5, 2026 - **Apply:** https://www.totaljobs.com/job/senior-data-scientist/data-careers-job108276775 ## About the Role Skills: Python, Machine Learning, Statistical Modelling, AWS, Data Engineering An exciting opportunity has arisen for an experienced Senior Data Scientist to join a growing international technology business developing innovative, AI-powered software solutions. Working within a specialist Data & AI team, you'll combine advanced statistical modelling with hands-on Python software engineering, helping to develop, improve and maintain production systems used by customers worldwide. This is not a traditional reporting or analytics-focused Data Scientist position. We're looking for someone who enjoys solving complex mathematical problems and has the technical ability to turn models and algorithms into reliable, production-ready software. You'll work across data science, machine learning, data engineering and AI development, with the opportunity to influence new product capabilities., * 5+ years' experience in Data Science, Machine Learning Engineering or a closely related technical discipline. * Strong commercial Python programming experience, including developing clean, tested and maintainable production code. * Excellent mathematical and statistical knowledge, including probability, statistical modelling and optimisation. * Proven experience developing and deploying machine learning or data-intensive solutions into production environments. * Experience developing, supporting or maintaining production software systems. * Ability to work independently, investigate complex problems and take ownership of technical solutions. * Strong communication skills and a collaborative approach. Desirable Experience * Data engineering technologies such as Databricks, PySpark or Spark. * Cloud platforms, particularly AWS. * Python frameworks such as FastAPI and PyTorch. * Experience developing APIs and data pipelines. * Infrastructure as Code, CI/CD and containerisation. * Hands-on experience with LLMs, RAG, embeddings or generative AI. * Mathematical optimisation techniques, such as linear programming or constraint satisfaction. * Experience within EdTech, educational assessment or psychometrics. * MSc or PhD in a mathematical, scientific or other quantitative discipline. ## Description * Develop, maintain and enhance statistical models and machine learning algorithms. * Build production-quality Python applications, services and APIs. * Support and improve existing mathematical modelling and automated assessment systems. * Develop and maintain data pipelines, services and infrastructure. * Contribute to new AI capabilities, including Large Language Models (LLMs), embeddings, semantic search and Retrieval-Augmented Generation (RAG). * Deploy, monitor and troubleshoot production data and machine learning systems. * Work collaboratively with software engineers, data specialists and product teams. * Apply mathematical and statistical techniques to solve complex technical challenges.