Data Science Lead managing ML and AI projects at JLL. Leading a team while addressing complex problems and ensuring the products' stability and reliability.
About the role
- Intern to transform Supply Chain Finance with automation, predictive analytics, and scenario modeling. Build real solutions using Python, SQL, and data visualization tools.
Responsibilities
- Help transform Supply Chain Finance with compliant automation, predictive analytics, and scenario modeling
- Build automation and analytics prototypes (Python, SQL, notebooks) that streamline Finance reporting and close processes
- Develop scenario models (incl. regression) to test assumptions, quantify sensitivities, and generate decision-ready insights
- Contribute to data architecture and strategy—data sourcing, modeling, lineage, and governance for reusable analytics assets
- Instrument solutions with metrics (time-savings, error rates, adoption) and create clear documentation for scale-out
- Partner with Finance stakeholders to run discovery, define success criteria, and validate outcomes in real workflows
- Participate in “Show & Share” forums and learning circles in a safe, supportive environment
Requirements
- Currently pursuing bachelor’s in Data Science, Computer Science, business analytics or any relevant fields
- Experience in working statistics and machine learning linear/logistic regression, feature engineering, model evaluation in projects
- Working knowledge of Python (pandas, scikit-learn), SQL, and data visualization (Power BI/Tableau or similar)
- Experience building scenario models (sensitivity analysis, what-if simulations) using notebooks or BI tools.
Benefits
- Onsite canteen and coffee shop
- In-house gym and dance studio
- After-work badminton and table tennis competitions
- On-site celebrations and community volunteer opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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