Positions:2 Full Time
Experience
8 - 12 Years
Senior Data Scientist Geospatial AI and Location Intelligence
Location Remote or Hybrid as per our client policy
Department Product and Analytics
Reports to Head of Data Science or Chief Product Officer
About the Role
We are seeking a highly experienced Senior Data Scientist to lead the development of geospatial AI and location intelligence capabilities for Navigator next generation portfolio analytics platform. This is a strategic role that combines deep technical expertise in geospatial modeling machine learning and AI agents with a strong product mindset and the ability to influence enterprise scale decision making.
You will own the analytical architecture that powers Navigators location scoring market positioning demographic analysis and multi criteria portfolio optimization. Working cross functionally with engineering product and business stakeholders you will translate complex data science requirements into production ready capabilities that deliver measurable user value.
What You Will Do
Location Intelligence and 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 scale for multi portfolio analysis including property level data demographic overlays transport networks and ESG indicators
Integrate map functionality into the Navigator platform including synchronized 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 and Data Science
Design train and validate machine learning models that underpin Navigators multi criteria scoring framework including Cost Optimisation ESG and 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 Retrieval Augmented Generation 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 optimize model performance in production using NPS data from Pendo and user feedback from Optimal Workshop identifying where model outputs are falling short and iterating accordingly
Product Strategy and 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 and 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 optimization across AI agent interactions working with engineering to ensure the analytical layer operates efficiently at scale
What We Are Looking For
Essential Requirements
10 plus 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 with the ability 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 Skills and Experience
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 visualization tools for web applications
Knowledge of responsible AI frameworks bias evaluation and model governance for enterprise deployment
Key Technologies
Data Science
Python
Pandas
NumPy
Scikit learn
SQL including Postgres and SQLite
Geospatial
GeoPandas
Shapely
PostGIS
Folium
CoStar API
AI and Agents
LangChain or LlamaIndex
RAG
Vector DBs
AWS AgentCore
Claude or OpenAI
Platform and Tools
AWS or Azure
Confluence
Jira
Pendo
Optimal Workshop
Mandatory Technical Competencies
Geospatial AI and Location Intelligence
GeoPandas
LangChain or LlamaIndex
RAG Retrieval Augmented Generation
Why Join Us
Strategic Impact
Lead the data science architecture for a transformational platform used by enterprise real estate teams globally
Technical Leadership
Own end to end ownership of geospatial AI and analytics capabilities from design through production
Cutting Edge Technology
Work with the latest in geospatial modeling LLMs AI agents and cloud infrastructure
Collaborative Environment
Partner with world class engineering product and business teams across JLL
Learning and Growth
Continuous exposure to emerging AI and ML technologies responsible AI governance and enterprise scale analytics
Competitive Compensation
Competitive salary benefits and professional development opportunities
About Our Client
They are a leading professional services and investment management company specializing in real estate. We combine local market expertise with global resources to deliver exceptional results for clients in the worlds major markets. Our commitment to innovation client success and employee development makes us an industry leader.
Equal Opportunities
They are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race color religion sex national origin age disability sexual orientation gender identity or any other protected characteristic.
To apply please submit your resume a brief cover letter highlighting relevant geospatial and AI agent experience and links to relevant projects or publications.
PIf2133997aded-37437-41331913
