Location/s: Madrid, ES Mott MacDonald 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 general 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 global reach.
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; 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 environment
Practical experience in Python and modern machine learning frameworks such as PyTorch, TensorFlow or Keras
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
Experience 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 work
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
Private medical insurance
Agile/flexible working – because life isn’t 9-5
Access to our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability and parents/carers communities
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 MacDonald, 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.

📌 Data Scientist - Machine Learning/Python/Tableau (Madrid)
🏢 Mott MacDonald
📍 Madrid