Tech Product Lead Data Scientist

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Technical Product Lead Data Scientist

Location Intelligence Geospatial AI Agent Development

Portfolio Services Technology Jones Lang LaSalle

JLL

May 2026

Job Title

Function

Location

Reporting To

Type

Tech Product Lead Data Scientist

Technology / Portfolio Services

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 required for 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

5 years of hands-on data science experience with at least 2 years working with geospatial data location intelligence or spatial analytics in a product or platform environment

Strong Python proficiency including geospatial libraries such as GeoPandas Shapely Folium PostGIS or equivalent

Demonstrated experience building and deploying AI agents or LLM-based systems in production including RAG design agent orchestration and output evaluation

Experience designing multi-criteria scoring and weighting frameworks for complex decision support applications

Proficiency building and managing data pipelines on cloud infrastructure ideally AWS or Azure

Experience working with commercial real estate demographic or labour market data sources including CoStar CBRE or equivalent

Strong product mindset able to translate data science outputs into user-facing value and communicate model behaviour to non-technical stakeholders clearly

Ability to operate across the full delivery cycle from requirements and architecture through to production validation and iteration

Desirable

Experience with AWS geospatial services SageMaker or AWS AgentCore for production ML deployment

Familiarity with ESG data frameworks carbon emissions modelling or sustainability scoring methodologies

Experience in real estate financial services or enterprise SaaS environments

Knowledge of vector databases embeddings and semantic search for geospatial or document intelligence use cases

Experience with Pendo Optimal Workshop or equivalent product analytics and user research tools

Familiarity with map rendering libraries and spatial visualisation tools for web applications

Knowledge of responsible AI frameworks bias evaluation and model governance for enterprise deployment

Key Technologies

Data Science

Geospatial

AI & Agents

Platform

Python Pandas NumPy Scikit-learn SQL (Postgres / SQLite)

GeoPandas Shapely PostGIS Folium CoStar API

LangChain / LlamaIndex RAG Vector DBs AWS AgentCore Claude / OpenAI

AWS / Azure Confluence Jira Pendo Optimal Workshop

Why This Role

Location intelligence is the foundation of every meaningful portfolio decision and no one in the real estate industry is yet using it at the level Navigator is designed to operate. This role places you at the leading edge of how geospatial AI location data and multi-agent systems come together in a production platform used by JLLs largest clients. You will not be running experiments you will be building the analytical engine that powers decisions worth billions in real estate value. If you have the technical depth the product instinct and the geospatial expertise this is the role that lets you put all three to work.

About JLL

Jones Lang LaSalle (JLL) is a leading professional services firm specialising in real estate and investment management. Operating across more than 80 countries JLL is committed to delivering technology-led solutions that create long-term value for clients employees and communities.

JLL CONFIDENTIAL Portfolio Services Technology

May 2026

Location:

Scheduled Weekly Hours:

If this job description resonates with you we encourage you to apply even if you dont meet all of the requirements. Were interested in getting to know you and what you bring to the table!

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