Location/s: Madrid, ESMott Mac Donald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices.We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance – we succeed when they do. Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you're surrounded by global specialists who want to combine their expertise and champion you to be your best.

The team works collaboratively to offer specialist advice, best practice and technology to all areas of our business specifically designed for our general reach.Overview of the roleWe 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 Mac Donald. 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; coaching data scientists and engineers; and translating technical opportunities into clear business value for project teams and senior stakeholders.

Experience delivering production data science, machine learning or AI in an enterprise environmentPractical experience in Python and modern machine learning frameworks such as Py Torch, Tensor Flow or KerasPractical experience with generative AI, large language models, embedding models, retrieval augmented generation, AI agents, model evaluation and fine-tuning techniquesExperience designing and operating end-to-end MLOps workflows, including model training, deployment, monitoring, automation and continuous improvementAbility to work across cloud and engineering environments, including tools such as Azure, Kubernetes, Docker, MLflow, Git Hub Actions, Terraform or DatabricksClear communication and stakeholder engagement skills, with the ability to explain complex technical concepts in accessible business languageExperience coaching, mentoring or giving technical guidance to data scientists, machine learning engineers or data professionals Experience applying computer vision, geospatial data science or predictive modelling to engineering, infrastructure, environmental or asset management workKnowledge of tools and methods such as Lang Chain, LLM orchestration, agentic tool use, segmentation foundation models, zero/few-shot visual understandingExperience developing reusable internal AI platforms,



foundation-model services or automation capabilities for use by wider teamsPostgraduate qualification or equivalent research experience in data science, engineering, computer science, applied mathematics or a related disciplineEvidence 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. Competitive annual leaveLife insuranceAn annual professional institution subscriptionPrivate medical insuranceOptional benefits via salary sacrifice (restaurant voucher/transport card/day care voucher)Continuous development opportunities – because we want you to thriveAgile/flexible working – because life isn't 9-5Wellbeing support including access to an independent Employer Assistance Scheme, wellbeing champions and access to learning and support resourcesAccess to our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability and parents/carers communitiesOur employee ownership model means no external investors, just us, creating a culture of shared success.Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses.Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future.For our senior roles you will have a direct pathway towards ownership from day one.

At Mott Mac

Donald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments.

We offer a hybrid working policy that embraces your well-being, flexibility, and trust.

📌 Principal Data Scientist - Tech (Madrid)
🏢 Mott MacDonald
📍 Madrid