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Lead Data Scientist - JLL
Data Scientist
Lead data science initiatives in financial forecasting and modeling, driving enterprise analytics with Python, SQL, and AWS. Spearhead advanced machine learning projects, data modeling, and predictive analytics to inform real‑estate investment decisions.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models for financial forecasting and real‑estate valuation.
- Lead cross‑functional teams in data acquisition, cleaning, and feature engineering using SQL and Python.
- Implement and maintain data pipelines on AWS, ensuring high availability and performance.
- Translate complex analytical insights into actionable business recommendations for senior stakeholders.
- Mentor junior data scientists and promote best practices in model governance and reproducibility.
Requirements
- 10+ years of experience in data science, with a focus on financial modeling and forecasting.
- Proficiency in Python, SQL, and AWS services (S3, Redshift, SageMaker).
- Strong background in machine learning algorithms, statistical modeling, and time‑series analysis.
- Experience leading data science projects and managing end‑to‑end model lifecycle.
- Excellent communication skills and ability to present technical concepts to non‑technical audiences.
Skills
pythonmachine learningsqlaws