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Staff Data Scientist (Hybrid)

Jones Lang LaSalle

Staff Data Scientist (Hybrid)

full-timePosted: Jan 23, 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 Staff Data Scientist to join the Enterprise Data Science Group - an exceptional data scientist who thrives on tackling complex problems, owning solutions end-to-end, leading projects, and leveraging ML and GenAI to drive business value at scale. 

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:

  • Work on a diverse set of projects that create real-world impact. One of the truly unique aspects of our domain is the diversity of data, ML, and AI challenges we work on.
  • Collaborate with amazing talent, participating in and leading projects such as agentic workflows and LLMs pipelines, RAG systems, classical ML, recommender systems, entity resolution, and more.
  • Opportunity to regularly present your work while continuously growing your leadership and communication skills.
  • Explore new technologies and tools to incorporate in our evolving tech stack.
  • 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.

On a typical day, you will:

  • Work on the full ML and GenAI lifecycle including data processing, exploratory data analysis, benchmark creation, feature engineering, diverse LLMs and agents, modeling/fine-tuning, evaluation, and more.
  • Ensure reliable model deployment and continuous monitoring, seeing most of your projects go beyond the research phase and into production.
  • Collaborate closely with talented colleagues including DSs, engineers, and product.
  • Communicate findings, propose new solutions, and explore new opportunities to facilitate impact and help us grow.

We are looking for:

  • 6+ years of industry experience
  • A track record of delivering ML/AI projects and communicating their value.
  • Strong hands-on experience with the full machine learning cycle (data processing, error analysis, feature engineering, modeling, evaluation, etc.)
  • Hands-on experience with LLMs, RAG systems, and agentic AI architectures
  • Great coding skills (Python, SQL, and engineering design practices)
  • Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.)
  • An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities and lead their development end-to-end.
  • Excellent communication skills in English.
  • An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field

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

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

  • Pythonintermediate
  • SQLintermediate
  • Engineering design practicesintermediate
  • Machine learning lifecycle (data processing, error analysis, feature engineering, modeling, evaluation)intermediate
  • LLMsintermediate
  • RAG systemsintermediate
  • Agentic AI architecturesintermediate
  • Cloud deployment (AWS, Azure, GCP, Databricks)intermediate

Required Qualifications

  • 6+ years of industry experience (experience)
  • A track record of delivering ML/AI projects and communicating their value (experience)
  • Strong hands-on experience with the full machine learning cycle (data processing, error analysis, feature engineering, modeling, evaluation, etc.) (experience)
  • Hands-on experience with LLMs, RAG systems, and agentic AI architectures (experience)
  • Great coding skills (Python, SQL, and engineering design practices) (experience)
  • Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.) (experience)
  • An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities and lead their development end-to-end (experience)
  • Excellent communication skills in English (experience)
  • An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field (experience)

Responsibilities

  • Work on the full ML and GenAI lifecycle including data processing, exploratory data analysis, benchmark creation, feature engineering, diverse LLMs and agents, modeling/fine-tuning, evaluation, and more
  • Ensure reliable model deployment and continuous monitoring, seeing most of your projects go beyond the research phase and into production
  • Collaborate closely with talented colleagues including DSs, engineers, and product
  • Communicate findings, propose new solutions, and explore new opportunities to facilitate impact and help us grow

Benefits

  • general: Flexible hybrid work from Tel Aviv headquarters
  • general: Team breakfast gatherings
  • general: On-site gym
  • general: Private health insurance

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Jones Lang LaSalle logo

Staff Data Scientist (Hybrid)

Jones Lang LaSalle

Staff Data Scientist (Hybrid)

full-timePosted: Jan 23, 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 Staff Data Scientist to join the Enterprise Data Science Group - an exceptional data scientist who thrives on tackling complex problems, owning solutions end-to-end, leading projects, and leveraging ML and GenAI to drive business value at scale. 

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:

  • Work on a diverse set of projects that create real-world impact. One of the truly unique aspects of our domain is the diversity of data, ML, and AI challenges we work on.
  • Collaborate with amazing talent, participating in and leading projects such as agentic workflows and LLMs pipelines, RAG systems, classical ML, recommender systems, entity resolution, and more.
  • Opportunity to regularly present your work while continuously growing your leadership and communication skills.
  • Explore new technologies and tools to incorporate in our evolving tech stack.
  • 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.

On a typical day, you will:

  • Work on the full ML and GenAI lifecycle including data processing, exploratory data analysis, benchmark creation, feature engineering, diverse LLMs and agents, modeling/fine-tuning, evaluation, and more.
  • Ensure reliable model deployment and continuous monitoring, seeing most of your projects go beyond the research phase and into production.
  • Collaborate closely with talented colleagues including DSs, engineers, and product.
  • Communicate findings, propose new solutions, and explore new opportunities to facilitate impact and help us grow.

We are looking for:

  • 6+ years of industry experience
  • A track record of delivering ML/AI projects and communicating their value.
  • Strong hands-on experience with the full machine learning cycle (data processing, error analysis, feature engineering, modeling, evaluation, etc.)
  • Hands-on experience with LLMs, RAG systems, and agentic AI architectures
  • Great coding skills (Python, SQL, and engineering design practices)
  • Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.)
  • An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities and lead their development end-to-end.
  • Excellent communication skills in English.
  • An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field

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

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

  • Pythonintermediate
  • SQLintermediate
  • Engineering design practicesintermediate
  • Machine learning lifecycle (data processing, error analysis, feature engineering, modeling, evaluation)intermediate
  • LLMsintermediate
  • RAG systemsintermediate
  • Agentic AI architecturesintermediate
  • Cloud deployment (AWS, Azure, GCP, Databricks)intermediate

Required Qualifications

  • 6+ years of industry experience (experience)
  • A track record of delivering ML/AI projects and communicating their value (experience)
  • Strong hands-on experience with the full machine learning cycle (data processing, error analysis, feature engineering, modeling, evaluation, etc.) (experience)
  • Hands-on experience with LLMs, RAG systems, and agentic AI architectures (experience)
  • Great coding skills (Python, SQL, and engineering design practices) (experience)
  • Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.) (experience)
  • An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities and lead their development end-to-end (experience)
  • Excellent communication skills in English (experience)
  • An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field (experience)

Responsibilities

  • Work on the full ML and GenAI lifecycle including data processing, exploratory data analysis, benchmark creation, feature engineering, diverse LLMs and agents, modeling/fine-tuning, evaluation, and more
  • Ensure reliable model deployment and continuous monitoring, seeing most of your projects go beyond the research phase and into production
  • Collaborate closely with talented colleagues including DSs, engineers, and product
  • Communicate findings, propose new solutions, and explore new opportunities to facilitate impact and help us grow

Benefits

  • general: Flexible hybrid work from Tel Aviv headquarters
  • general: Team breakfast gatherings
  • general: On-site gym
  • general: Private health insurance

Target Your Resume for "Staff Data Scientist (Hybrid)" , Jones Lang LaSalle

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

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

Check Your ATS Score for "Staff Data Scientist (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

REQ476830jllcareers

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

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.