JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

Job DescriptionWe 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 ResponsibilitiesModel 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.

QualificationsEducation: 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.

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





Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.

About JLL –

We’re JLL—a leading qualified services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility.

That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.

Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.

Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.

📌 Data Scientist (Mumbai)
🏢 JLL
📍 Mumbai