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.   

Job Description

We are seeking a skilled Data Scientist to join our Global Benchmarking Services team. You will have expertise in SQL, Python, and Machine Learning (Supervised and Unsupervised techniques). You’ll design and deploy predictive models, uncover actionable insights from complex real estate and human experience data, and build scalable solutions that guide clients toward optimal workplace and portfolio strategies. This role is ideal for a problem-solver passionate about turning data into strategic value for global corporations.

Key Responsibilities

• Model Development: Build, validate, and deploy machine learning models using Python to forecast space utilization, optimize portfolio performance, and predict key drivers of employee experience.

• Cross-functional Collaboration: Partner with workplace strategy, client services, and business development teams to align predictive models with client objectives and strategic real estate goals.

• Cloud Integration: Design, deploy, and manage machine learning models on the Azure cloud platform, ensuring scalability, robust monitoring, and performance tuning.

• Insight Communication: Translate complex model outputs and statistical findings into clear, actionable recommendations for clients and senior leadership through advanced visualizations and strategic narratives.

• Continuous Improvement: Stay updated on advancements in AI/ML, cloud technologies, and emerging trends in workplace analytics and commercial real estate.

Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.

• Experience: 2+ years in a data science role, with a focus on commercial real estate, workplace analytics, or human experience measurement.

• Experience with ML Ops practices for model lifecycle management.

• Familiarity with big data tools (e.g., Spark, Databricks).

• Advanced knowledge of Natural Language Processing (NLP) for sentiment analysis and topic modeling on survey feedback.

Location:

Scheduled Weekly Hours:

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.

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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 [email protected]. 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.