> Markdown version of [/jobs/ext/4122919-principal-data-scientist](https://www.wearedevelopers.com/jobs/ext/4122919-principal-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). --- # Principal Data Scientist - **Company:** Mott MacDonald - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Computer Vision, Microsoft Azure, Github, Python (Programming Language), Machine Learning, Operational Databases, Tensorflow, Pytorch, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, Keras, Agentic-AI, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Terraform, Docker, Databricks - **Published:** October 26, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bd2c782cfc912a5a ## About the Role * Experience delivering production data science, machine learning or AI in an enterprise environment * Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras * Practical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine-tuning techniques * Experience designing and operating end-to-end MLOps workflows, including model training, deployment, monitoring, automation and continuous improvement * Ability to work across cloud and engineering environments, including tools such as Azure, Kubernetes, Docker, MLflow, GitHub Actions, Terraform or Databricks * Clear communication and stakeholder engagement skills, with the ability to explain complex technical concepts in accessible business language * Experience coaching, mentoring or giving technical guidance to data scientists, machine learning engineers or data professionals Desirable: * Experience applying computer vision, geospatial data science or predictive modelling to engineering, infrastructure, environmental or asset management work * Knowledge of tools and methods such as LangChain, LLM orchestration, agentic tool use, segmentation foundation models, zero/few-shot visual understanding * Experience developing reusable internal AI platforms, foundation-model services or automation capabilities for use by wider teams * Postgraduate qualification or equivalent research experience in data science, engineering, computer science, applied mathematics or a related discipline * Evidence of innovation, publication, award recognition or contribution to data science practice We are actively recruiting a diverse workforce that is reflective of the communities we serve. We recognise that differences in ability, skills and experience are a strength and encourage applications from people of all backgrounds. ## Description We are looking for a Principal Data Scientist to help shape the design, development and delivery of production-grade AI, machine learning and data science solutions across Mott MacDonald. The role will focus on turning complex business, engineering and environmental needs into scalable, reliable data products and AI services. The successful candidate will bring technical experience across generative AI, large language models, retrieval augmented generation, machine learning, computer vision, geospatial data science and MLOps. They will work with multidisciplinary teams to identify valuable use cases, shape solution architecture, develop reliable models and ensure solutions are tested, monitored and improved in live use. The role includes end-to-end AI and data science delivery; setting standards for model development, evaluation and deployment; building reusable internal AI services; coaching data scientists and engineers; contributing to AI governance; and translating technical opportunities into clear business value for project teams and senior stakeholders.