Tech Product Lead - Data Scientist

JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

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

JLL's 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 Navigator's 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 Navigator's 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 Navigator's 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 Agent's 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 Navigator's 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 Navigator's 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 Navigator's 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 JLL's 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 JLL's 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:

On-site –Bengaluru, KA, Gurugram, HR

Scheduled Weekly Hours:

40

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

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

JLL's 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 Navigator's 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 Navigator's 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 Navigator's 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 Agent's 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 Navigator's 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 Navigator's 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 Navigator's 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 JLL's 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 JLL's 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:

On-site –Bengaluru, KA, Gurugram, HR

Scheduled Weekly Hours:

40

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.