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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Sega Europe Limited - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, Microsoft Azure, Business Systems, Information Engineering, Database Development, Video Game Development, Python (Programming Language), Machine Learning, Power BI, Search Technologies, Software Systems, Systems Integration, Tableau (Software), Enterprise Data Management, Enterprise Software Applications, Large Language Models, Prompt Engineering, Apache Spark, IT Architecture, Generative AI, AI Platforms, Pyspark, Data Analytics, Machine Learning Operations, Data Pipelines, Databricks - **Published:** September 9, 2026 - **Apply:** https://www.collegerecruiter.com/job/2850543253-senior-data-scientist ## About the Role * Commercial experience developing AI, machine learning or data-driven software solutions. * Strong Python and SQL development skills. * Experience working with Large Language Models such as OpenAI, Anthropic, Llama or similar. * Experience building AI applications using frameworks such as LangChain, LangGraph, Semantic Kernel or LlamaIndex. * Experience developing AI agents, RAG solutions and integrating AI into enterprise applications. * Experience with Databricks or equivalent cloud AI platforms. * Experience integrating AI with enterprise systems using APIs, Model Context Protocol (MCP) or similar integration patterns. * Understanding of vector databases, embeddings and semantic search technologies. * Knowledge of AI governance, prompt engineering and responsible AI practices. * Strong communication skills with the ability to explain technical concepts to non-technical audiences., * Experience with Databricks Mosaic AI, Vector Search, Model Serving or MLflow. * Experience with Apache Spark and PySpark. * Experience deploying AI solutions within Azure, AWS or GCP. * Familiarity with traditional machine learning techniques and predictive modelling. * Experience with Power BI or Tableau. * Passion for video games. ## Description * Design, build and deploy AI-powered applications using Large Language Models, AI agents and modern AI frameworks. * Develop agentic AI and Retrieval Augmented Generation (RAG) solutions that securely leverage SEGA's enterprise data. * Utilise Databricks AI capabilities including AI Gateway, Mosaic AI, Vector Search, Model Serving and MLflow to deliver production-ready AI solutions. * Configure and integrate AI services into business systems, products, developer workflows and enterprise data platforms, including the use of Model Context Protocol (MCP). * Evaluate emerging AI technologies and identify opportunities where AI can improve productivity, automate processes and generate business value. * Develop AI governance, prompt engineering standards and evaluation frameworks to support secure and responsible AI adoption. * Collaborate with Data Engineering and Analytics teams to integrate AI capabilities into data pipelines, products and dashboards. * Evangelise AI across the organisation through demonstrations, workshops and knowledge sharing. * Act as an experienced knowledge holder for AI architecture, best practices and solution design across SEGA Europe. * Continue to evaluate advances in AI through research, experimentation and professional development. You will collaborate closely with Data Engineers, Analytics Engineers, Data Scientists and business stakeholders to deliver innovative solutions that leverage SEGA's enterprise data platform. As an excellent communicator, you will present AI concepts, prototypes and recommendations to both technical and non-technical audiences, helping translate complex technology into tangible business outcomes. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Best practices: Building Enterprise Applications that leverage GenAI](https://www.wearedevelopers.com/videos/1513-best-practices-building-enterprise-applications-that-leverage-genai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)