Mott MacDonald is a global engineering, management, and development consultancy committed to delivering impactful work that shapes the future.

We are a team of over 20,000 experts working across the world in more than 50 countries.
We are proud to be part of an ever-changing global industry, delivering transformative work that’s defining our future. It’s our people who power that performance. As an employee-owned business, we invest in creating a space for everyone to feel safe and valued and empowered with the right tools and support.

Whether you want to pursue excellence in your specialism or broaden your experience with versatile roles across our business, you’ll be connected to a community of global experts championing you to be your best. Join us and shape your story with Mott MacDonald, where everyone has the opportunity to be brilliant.

We are seeking a Data Scientist to lead the integration of Generative AI and Agentic Workflows into our global projects. From automating complex engineering compliance to enhancing digital twins with natural language interfaces,



your work will directly contribute to more sustainable and efficient infrastructure worldwide.

Your Impactful Role
- Architecting the Future: Lead the end-to-end development and deployment of AI/ML projects, ensuring they solve real-world engineering and consultancy challenges.
- Agentic Innovation: Design and implement Agentic AI architectures (using LangChain, Lang Graph, etc.) to automate complex reasoning tasks across technical documentation and project management.
- From Vision to Reality: Rapidly develop Proof of Concepts (PoCs) and transition them into high-availability, enterprise-grade applications hosted on Azure.
- Connected Thinking: Work alongside structural engineers, environmental consultants, and digital architects to integrate AI/ML into the wider ecosystem.
- Strategic Growth: Contribute to the scale-up of AI solutions, ensuring cost-optimized deployment (LlmOps) and alignment with

📌 Data Scientist (India)
🏢 Mott MacDonald
📍 India