採用
Benefits & Perks
•Gym
•Free Meals
•Private Health Insurance
•Flexible Hours
•Gym
•Meals
•Flexible Hours
Required Skills
Machine Learning
Leadership
Cloud deployment
LLMs
RAG systems
Agentic AI
Python
Engineering practices
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.
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:
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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.
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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.
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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.
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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.
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Opportunity to be part of a strong, fun, and collaborative team culture.
We are looking for:
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2+ years of managerial or tech lead experience.
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7+ years of hands-on experience with machine learning, including leading projects and communicating their value.
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Experience deploying production-level code in the cloud (AWS, Azure, GCP, Databricks, etc.)
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Hands-on experience with LLMs, RAG systems, and agentic AI architectures
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Great coding skills and engineering practices.
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An entrepreneurial mentality; excited to work with product and business teams to identify new opportunities, plan, and lead their development.
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Excellent communication skills in English.
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An MSc degree (PhD advantage) in computer science, mathematics, or another STEM field.
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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 La Salle (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 La Salle (“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.
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About JLL

JLL
PublicJLL is a global commercial real estate services company providing property management, investment management, and advisory services. The company serves corporate clients, investors, and property owners across various real estate markets worldwide.
10,001+
Employees
Chicago
Headquarters
Reviews
3.2
10 reviews
Work Life Balance
2.5
Compensation
2.8
Culture
3.2
Career
3.5
Management
2.3
35%
Recommend to a Friend
Pros
Good coworkers and supportive team members
Learning opportunities and skill development
Supportive management (when present)
Cons
Poor management treatment and unprofessional behavior
Low pay relative to workload
Frequent layoffs and job instability
Salary Ranges
0 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$120,000
total / year
Base
$120,000
Stock
-
Bonus
-
$102,000
$138,000
Interview Experience
7 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer Rate
29%
Experience
Positive 14%
Neutral 43%
Negative 43%
Interview Process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Case Study/Technical Assessment
5
Final Interview/Presentation
6
Offer
Common Questions
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Real Estate/Industry Specific
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