Data Scientist
Actively Reviewing the ApplicationsFranklin Templeton
India, Telangana, Hyderabad
Full-Time
On-site
INR 12–20 LPA
Posted 14 hours ago
•
Apply by May 5, 2026
Job Description
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
Core Responsibilities
Experience, Education & Certifications
Clarion Partners is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. Clarion Partners offers generous benefits designed with the health and financial welfare of our employees and their families in mind, including highly competitive and expansive health care coverage, a comprehensive 401K, company-sponsored volunteer opportunities, individual volunteer time off, parental leave and childcare programs, as well as other benefits and discount purchase programs.
Clarion Partners is committed to fostering an inclusive environment. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.
About The Research & Strategy Department
- The Research & Strategy team delivers quantitative insights that guide Clarion’s 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 learning—offering 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.
- 2–4 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.
- Experience taking research models into production.
- Hands‑on exposure to full analytical pipelines.
- Knowledge of risk modeling or portfolio optimization.
- Experience with generative AI and natural language processing techniques.
- Familiarity with MLOps practices.
- Experience with alternative or unstructured datasets.
- Proficiency with Azure, Snowflake, and orchestration tools like Airflow or Data Factory.
- Strong communication skills for technical and non‑technical audiences.
- Ability to manage data science project work and stakeholder needs.
Clarion Partners is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. Clarion Partners offers generous benefits designed with the health and financial welfare of our employees and their families in mind, including highly competitive and expansive health care coverage, a comprehensive 401K, company-sponsored volunteer opportunities, individual volunteer time off, parental leave and childcare programs, as well as other benefits and discount purchase programs.
Clarion Partners is committed to fostering an inclusive environment. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.
Required Skills
Communication
Machine Learning
Engineering
Forecasting
Python
Risk Analysis
SQL
Research
Snowflake
Pandas
NumPy
Natural Language Processing
MLOps
Excel
Wealth Management
Azure
Airflow
Data Engineering
Data Science
Continuous Learning
Statistics
Real Estate
Asset Management
Genetic information
Mathematics
Risk
Gender expression
Investment
Medical condition
Orchestration
Gender
Natural language
Modeling
Military
Generative
Fundamentals
Portfolio optimization
Quantitative Research
Lifestyle
MACHINE
Ancestry
Statistical
Natural
Data pipelines
Document
Risk modeling
Analysts
Linear
Regulation
Factory
Law
Experimentation
Estate
Probability
Commercial
Gender identity
Generative AI
Marital Status
Positive
Time off
Computer Science
SciKit
Natural language processing techniques
Data Factory
Wealth
Exploring
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