Data Scientist

We are building an Advisory Intelligence capability that applies advanced analytics, econometrics, and AI to some of the most complex questions in commercial real estate and investment advisory, market risk, pricing dynamics, liquidity, valuation context, and capital allocation., * Build and evaluate machine learning and AI-based PoCs applied to CRE-specific problems (e.g., market condition scoring, liquidity risk, valuation dispersion)

• Support experimentation with generative AI and large language models (LLMs) for research synthesis, insight generation, and analytical augmentation

• Contribute to early implementations of agentic AI, including multi-step analytical workflows, tool-using agents, and human-in-the-loop systems

• Help assess where AI adds decision value versus where traditional statistical approaches are more appropriate

Socio-Economic & Market Context Modeling

• Incorporate socio-economic, demographic, labor, income, education, and other external indicators into market-level and submarket-level analyses

• Support spatial and place-based analysis to contextualize asset and market performance

• Connect macroeconomic and local indicators to CRE outcomes in a structured, explainable way

Data Exploration & PoC Enablement

• Perform targeted data collection, cleaning, and integration as required for specific PoCs

• Work with internal and third-party data sources in analytical environments such as Databricks

• Collaborate with data engineering and platform teams when PoCs move toward scaling

• Clearly document analytical approaches, assumptions, and findings to support knowledge transfer

Advisory & Stakeholder Collaboration

• Translate analytical outputs into clear insights, signals, and implications for advisory and investment-focused audiences

• Collaborate with senior advisors, product leaders, and researchers to refine problem statements and analytical direction

• Communicate findings in a structured, concise manner appropriate for executive and client-facing contexts

We are looking for a Junior Data Scientist with a strong quantitative foundation (Master's level) and experience in analytical problem-solving environments, such as large consulting firms or investment-focused teams. This is a role for someone who enjoys structured thinking, experimentation, and rapid hypothesis testing, and wants to work on problems where data, economics, and judgment intersect., * Hold a Master's degree in Data Science, Mathematics, Econometrics, Statistics, Economics, Engineering, or a closely related quantitative field

• Have 1-3 years of experience in consulting, investment finance, or CRE advisory/research

• Enjoy problem-solving and experimentation more than maintaining production pipelines

• Are comfortable moving between theory and application

• Have strong proficiency in Python for data analysis and modeling

• Have solid foundation in statistical modeling and quantitative reasoning

• Are intellectually curious, structured in your thinking, and comfortable working in uncertain problem spaces

Preferred Qualifications

• Applied experience with econometric or advanced statistical techniques beyond basic regression

• Exposure to commercial real estate, investment analysis, or market research workflows

• Familiarity with Databricks or similar analytical data platforms

• Experience working with socio-economic or macroeconomic datasets

• Exposure to machine learning, generative AI, or LLM-based applications

• Hands-on experience (professional or academic) with agentic AI or autonomous analytical workflows

• Experience building proofs of concept rather than only production systems

• Familiarity with data visualization tools (Tableau, Power BI, or Python libraries)

• Growing contribution to AI-enabled insights and future data products within Advisory Intelligence

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.

The company will not pay less than minimum wage for this role.

The compensation for the position is: $ 72,165.00 - $84,900.00

Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.