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Data Science Lead (Hybrid)

Jones Lang LaSalle

Data Science Lead (Hybrid)

full-timePosted: Jan 22, 2026

Job Description

JLL empowers you to shape a brighter way.  

Our people at JLL and JLL Technologies 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.   

About us 

JLL (NYSE: JLL) is Fortune 500 leader in commercial real estate, operating in dozens of countries, with annual revenue of tens of billions of dollars. Within JLL, we are part of JLL Technologies, the strategic business unit dedicated to leveraging cutting-edge technology to enhance the value and liquidity of the world's built environment.

The Tel Aviv technology hub leads enterprise-scale AI, data science, ML and research initiatives that directly impact JLL’s multi-billion-dollar business. Our teams design, build, and operate production-grade AI systems that sit at the core of how decisions are made across the company. 

The position 

We are looking for a Data Science Lead (staff level) to join the Enterprise Data Science Group - a senior, hands-on technical leader who thrives on tackling complex problems, owning solutions end-to-end, leading projects, and shaping how machine learning and AI drive business value at scale.

This role offers a rare combination of diverse data, hard ML and AI challenges, and leadership. You’ll work closely with experienced data scientists, engineers, product managers, and business stakeholders, work on challenging problems, and see the direct impact of your work in production.

We embrace a flexible hybrid work from our newly renovated Tel Aviv headquarters and prioritize employee well-being through team breakfast gatherings, an on-site gym, and private health insurance. 

 
Highlights: 

  • Be a hands-on lead of ML/AI projects across business lines with rich data and many challenging, high-impact use cases. Examples of projects include recommender systems, agentic workflows, RAG systems, and LLM pipelines. 

  • Coach and develop a team of top data scientists and AI engineers in Europe (remote), while gradually growing the team with new projects – potentially hiring locally, aligning product and business stakeholders on goals and KPIs, presenting vision and roadmaps, and communicating progress. 

  • Best of both worlds: Guide your small team of direct reports towards pushing the bar of accuracy while contributing hands-on towards ensuring product stability, reliable deployment, and continuous monitoring. 

  • We are a medium-size team (approx. 20 people) where people have great relationships, working collectively and with colleagues abroad to impact a multi-billion dollar business. 

  • Opportunity to be part of a strong, fun, and collaborative team culture. 

 

We are looking for: 

  • 2+ years of managerial or tech lead experience. 

  • 7+ years of hands-on experience with machine learning, including leading projects and communicating their value. 

  • Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.) 

  • Hands-on experience with LLMs, RAG systems, and agentic AI architectures 

  • Great coding skills and engineering practices. 

  • An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities, plan, and lead their development. 

  • Excellent communication skills in English. 

  • An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field. 

  • Experience managing or working with international colleagues – advantage 

 

Location:

On-site –TEL AVIV, ISR

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.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

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.

Locations

  • TEL AVIV, Israel (Remote)

Salary

Estimated Salary Rangemedium confidence

240,000 - 480,000 ILS / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine learningintermediate
  • LLMsintermediate
  • RAG systemsintermediate
  • Agentic AI architecturesintermediate
  • Cloud deployment (AWS, Azure, GCP, Databricks)intermediate
  • Codingintermediate
  • Engineering practicesintermediate
  • English communicationintermediate

Required Qualifications

  • 2+ years of managerial or tech lead experience (experience)
  • 7+ years of hands-on experience with machine learning, including leading projects and communicating their value (experience)
  • Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.) (experience)
  • Hands-on experience with LLMs, RAG systems, and agentic AI architectures (experience)
  • Great coding skills and engineering practices (experience)
  • An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities, plan, and lead their development (experience)
  • Excellent communication skills in English (experience)
  • An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field (experience)

Preferred Qualifications

  • Experience managing or working with international colleagues (experience)

Responsibilities

  • Be a hands-on lead of ML/AI projects across business lines with rich data and many challenging, high-impact use cases (recommender systems, agentic workflows, RAG systems, LLM pipelines)
  • Coach and develop a team of top data scientists and AI engineers in Europe (remote), while gradually growing the team with new projects
  • Align product and business stakeholders on goals and KPIs, presenting vision and roadmaps, and communicating progress
  • Guide small team of direct reports towards pushing the bar of accuracy while contributing hands-on towards ensuring product stability, reliable deployment, and continuous monitoring

Benefits

  • general: Flexible hybrid work from newly renovated Tel Aviv headquarters
  • general: Team breakfast gatherings
  • general: On-site gym
  • general: Private health insurance
  • general: Strong, fun, and collaborative team culture

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Jones Lang LaSalle logo

Data Science Lead (Hybrid)

Jones Lang LaSalle

Data Science Lead (Hybrid)

full-timePosted: Jan 22, 2026

Job Description

JLL empowers you to shape a brighter way.  

Our people at JLL and JLL Technologies 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.   

About us 

JLL (NYSE: JLL) is Fortune 500 leader in commercial real estate, operating in dozens of countries, with annual revenue of tens of billions of dollars. Within JLL, we are part of JLL Technologies, the strategic business unit dedicated to leveraging cutting-edge technology to enhance the value and liquidity of the world's built environment.

The Tel Aviv technology hub leads enterprise-scale AI, data science, ML and research initiatives that directly impact JLL’s multi-billion-dollar business. Our teams design, build, and operate production-grade AI systems that sit at the core of how decisions are made across the company. 

The position 

We are looking for a Data Science Lead (staff level) to join the Enterprise Data Science Group - a senior, hands-on technical leader who thrives on tackling complex problems, owning solutions end-to-end, leading projects, and shaping how machine learning and AI drive business value at scale.

This role offers a rare combination of diverse data, hard ML and AI challenges, and leadership. You’ll work closely with experienced data scientists, engineers, product managers, and business stakeholders, work on challenging problems, and see the direct impact of your work in production.

We embrace a flexible hybrid work from our newly renovated Tel Aviv headquarters and prioritize employee well-being through team breakfast gatherings, an on-site gym, and private health insurance. 

 
Highlights: 

  • Be a hands-on lead of ML/AI projects across business lines with rich data and many challenging, high-impact use cases. Examples of projects include recommender systems, agentic workflows, RAG systems, and LLM pipelines. 

  • Coach and develop a team of top data scientists and AI engineers in Europe (remote), while gradually growing the team with new projects – potentially hiring locally, aligning product and business stakeholders on goals and KPIs, presenting vision and roadmaps, and communicating progress. 

  • Best of both worlds: Guide your small team of direct reports towards pushing the bar of accuracy while contributing hands-on towards ensuring product stability, reliable deployment, and continuous monitoring. 

  • We are a medium-size team (approx. 20 people) where people have great relationships, working collectively and with colleagues abroad to impact a multi-billion dollar business. 

  • Opportunity to be part of a strong, fun, and collaborative team culture. 

 

We are looking for: 

  • 2+ years of managerial or tech lead experience. 

  • 7+ years of hands-on experience with machine learning, including leading projects and communicating their value. 

  • Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.) 

  • Hands-on experience with LLMs, RAG systems, and agentic AI architectures 

  • Great coding skills and engineering practices. 

  • An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities, plan, and lead their development. 

  • Excellent communication skills in English. 

  • An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field. 

  • Experience managing or working with international colleagues – advantage 

 

Location:

On-site –TEL AVIV, ISR

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.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

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.

Locations

  • TEL AVIV, Israel (Remote)

Salary

Estimated Salary Rangemedium confidence

240,000 - 480,000 ILS / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine learningintermediate
  • LLMsintermediate
  • RAG systemsintermediate
  • Agentic AI architecturesintermediate
  • Cloud deployment (AWS, Azure, GCP, Databricks)intermediate
  • Codingintermediate
  • Engineering practicesintermediate
  • English communicationintermediate

Required Qualifications

  • 2+ years of managerial or tech lead experience (experience)
  • 7+ years of hands-on experience with machine learning, including leading projects and communicating their value (experience)
  • Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.) (experience)
  • Hands-on experience with LLMs, RAG systems, and agentic AI architectures (experience)
  • Great coding skills and engineering practices (experience)
  • An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities, plan, and lead their development (experience)
  • Excellent communication skills in English (experience)
  • An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field (experience)

Preferred Qualifications

  • Experience managing or working with international colleagues (experience)

Responsibilities

  • Be a hands-on lead of ML/AI projects across business lines with rich data and many challenging, high-impact use cases (recommender systems, agentic workflows, RAG systems, LLM pipelines)
  • Coach and develop a team of top data scientists and AI engineers in Europe (remote), while gradually growing the team with new projects
  • Align product and business stakeholders on goals and KPIs, presenting vision and roadmaps, and communicating progress
  • Guide small team of direct reports towards pushing the bar of accuracy while contributing hands-on towards ensuring product stability, reliable deployment, and continuous monitoring

Benefits

  • general: Flexible hybrid work from newly renovated Tel Aviv headquarters
  • general: Team breakfast gatherings
  • general: On-site gym
  • general: Private health insurance
  • general: Strong, fun, and collaborative team culture

Target Your Resume for "Data Science Lead (Hybrid)" , Jones Lang LaSalle

Get personalized recommendations to optimize your resume specifically for Data Science Lead (Hybrid). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Science Lead (Hybrid)" , Jones Lang LaSalle

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

REQ481148jllcareers

Answer 10 quick questions to check your fit for Data Science Lead (Hybrid) @ Jones Lang LaSalle.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.