JLL

Lead Data Scientist

JLL
US Chicago, IL, US
Onsite 2026-06-27
Announced salary
$140,000 - $150,000
Low
$87K
Median
$114K
High
$151K
Market in Chicago · BLS OEWS 2025
Estimated net pay
$8,348 - $8,876
/month · 28% withheld
after tax & contributions · Single, no dependents

Job description

**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. Lead Data Scientist ( Financial Forecasting \& Modeling), Enterprise Analytics, JLL Technologies JLL Technologies Enterprise Data team is a central organization that oversees JLL’s data strategy. Enterprise Analytics is an internal consulting team that provides data\-driven expertise to various business and support functions, with a growing focus on financial forecasting, AI\-powered insights, and advanced predictive modeling. The Lead Data Scientist is a senior technical leader responsible for driving high\-impact analytics initiatives, applying the latest machine learning and AI techniques to solve complex business problems. The ideal candidate is passionate about using data and AI to drive business strategy and develop enterprise\-grade data products. They will lead end\-to\-end data science projects, scoping, designing, and executing the vision, while collaborating with finance, operations, and technology stakeholders. Experience with financial forecasting and a command of modern AI/ML frameworks are essential to this role. **Key Responsibilities** ------------------------ * Lead end\-to\-end data science projects by understanding business needs, scoping solutions, and delivering measurable outcomes. Act as a technical leader who advises, mentors, and delegates to junior data scientists and analysts. * Develop and own financial forecasting models, including revenue projections, cost modeling, bud

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