Description :

Franklin Templeton hiring Data Scientist 2 - 5 Years, investment Banking or Finance domain experience must. Looking candidates from Tier-1 or Tier 2 colleges

Clarion Partners has been a leading real estate investment manager for over 40 years. Headquartered in New York, the firm maintains strategically located offices across the United States and Europe. Clarion Partners offers a broad range of real estate strategies across the risk/return spectrum to approximately 500 institutional investors across the globe. Clarion Partners operates independently as a Specialist Investment Manager owned by Franklin Templeton (FT), a diversified firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals.

About the Research & Strategy Department :

The Research & Strategy team delivers quantitative insights that guide Clarions global real estate investment decisions. The team includes researchers, data scientists, and analysts who collaborate to build models, analyze markets, and provide actionable intelligence to portfolio and investment teams. You will join a group that values analytical rigor, experimentation, and continuous learningoffering strong opportunities to deepen your expertise in applied data science within a real-estate investment environment.

Core Responsibilities :

- You will support research that informs commercial real estate investment decisions.

- You will develop and test statistical and machine-learning models.

- You will analyze structured and semi-structured datasets.

- You will maintain forecasting and ranking models across markets.

- You will evaluate model performance and update models when required.

- You will apply model results to scenarios, risk analysis, and portfolio insights.

- You will contribute to experiments exploring new features and modeling approaches.

- You will maintain shared codebases and data pipelines.

- You will collaborate with global teams to communicate insights.

- You will document methods and results clearly.

Experience, Education & Certifications :

- Degree in Mathematics, Statistics, Computer Science, or related discipline.

- 2 to 4 years of experience in data science or quantitative research.

- Strong skills in probability, statistics, time-series analysis, and machine learning.

- Experience maintaining forecasting models in production.

- Advanced Python skills with pandas, NumPy, and scikit-learn.

- Experience with linear and tree-based machine-learning models.

- Working knowledge of SQL and data engineering fundamentals.

Technical Skills :

- Experience taking research models into production.

- Knowledge of risk modeling or portfolio optimization.

- Experience with alternative or unstructured datasets.

- Experience with generative AI and natural language processing techniques is preferred.

- Hands-on exposure to full analytical pipelines.

Soft Skills :

- Strong communication skills for technical and non-technical audiences.

- Ability to manage data science project work and stakeholder needs.

Work Shift Timings - 2 : 00 PM - 11 : 00 PM IST