Tech Product Lead - Data Scientist

Technical Product Lead Data Scientist Location Intelligence Geospatial AI Portfolio Services Technology Jones Lang LaSalle [Location / Hybrid / Remote] Head of Portfolio Services Technology [Permanent / Contract] About the Role JLLs Portfolio Services Technology function is building Navigator, a next-generation AI-powered platform that enables clients and JLL teams to model complex real estate portfolio scenarios, evaluate strategic options and make data-driven decisions at scale. Central to Navigators intelligence layer is the ability to understand and reason about location integrating geospatial data, demographic intelligence, labour market analytics and real estate market signals into the AI agents that power the platform. We are looking for a Technical Product Lead Data Scientist who combines deep data science capability with a product mindset and specialist expertise in location intelligence and geospatial AI. This is a hands-on senior role that sits at the intersection of data science, AI agent development and product strategy. You will build and own the models, pipelines and geospatial frameworks that underpin Navigators analytical capabilities, while working directly with engineering, product and design teams to ensure those capabilities are embedded effectively into the platform. This is not a pure research role. You will be responsible for production-grade outputs that directly inform client-facing AI recommendations from site selection and labour force mapping to cost modelling and ESG scoring. What You Will Do Location Intelligence Geospatial AI Design and build geospatial models that power Navigators location scoring, market positioning and demographic analysis capabilities, integrating data from CoStar, labour market sources and third-party geospatial providers Develop location-based AI agent capabilities, including the Analytics Agents real-time market intelligence layer, enabling the platform to surface relevant location insights for any given portfolio scenario Build and maintain geospatial data pipelines that ingest, transform and serve location data at the scale - multi-portfolio analysis including property-level data, demographic overlays, transport networks and ESG indicators Integrate map functionality into the Navigator platform, including synchronised list and map views, property clustering, search and filtering, and data overlays working closely with engineering to ensure performance and usability Evaluate and onboard geospatial data sources, including CoStar and other third-party providers, assessing data quality, coverage and commercial terms for inclusion in the platform AI Agent Development Data Science Design, train and validate machine learning models that underpin Navigators multi-criteria scoring framework including Cost Optimisation, ESG/Sustainability, Talent Accessibility, Market Positioning and Risk Mitigation axes Own the data science architecture for the AI Scenario Agent, developing the model logic that generates and evaluates alternate portfolio strategies based on client-defined criteria and weighted priorities Build RAG pipelines and document intelligence capabilities that enable agents to reason over lease documents, market reports and financial data directly relevant to the Lease Admin Agents programme Define evaluation frameworks and guardrails for AI output quality, including bias detection, accuracy validation and responsible AI compliance ensuring model outputs are commercially credible and production-ready Monitor and optimise model performance in production, using NPS data from Pendo and user feedback from Optimal Workshop to identify where model outputs are falling short and iterating accordingly Product Strategy Stakeholder Collaboration Act as the data science product authority, translating business requirements from deep dive workshops and SME sessions into data science specifications that engineering teams can build against Own the analytical product roadmap, defining how location intelligence, geospatial AI and data science capabilities will evolve across Navigators development phases from current MVP through to future iterations Contribute to the AWS platform selection decision, specifically assessing the geospatial and ML infrastructure capabilities of AWS AgentCore and related services against Navigators analytical requirements Participate in Critical Design Reviews (CDR), providing data science and geospatial expertise to ensure architectural decisions support the analytical capabilities the product requires Present model outputs, methodology and validation findings to senior stakeholders and client-facing audiences in clear, non-technical language Governance Standards Maintain documentation on model methodology, data sources, validation outcomes and geospatial data lineage in Confluence supporting CDR compliance and responsible AI governance Ensure all geospatial and AI models comply with JLLs data governance policies, applicable data privacy regulations, and the AI Terms Addendum obligations under vendor contracts Support token cost management and optimisation across AI agent interactions, working with engineering to ensure the analytical layer operates efficiently at scale What We Are Looking For Essential Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.