Associate Data Scientist

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements.

Come join us in delivering better outcomes for our clients around the world!

About the Department:

Our Data Science team drives innovation in investment management by applying data science, machine learning, and AI to optimize portfolio strategies and manage investment risk. We collaborate closely with portfolio managers, research analysts, and technology experts to deliver actionable insights that support investment decision-making. Joining us means working in a dynamic, intellectually stimulating environment where you will contribute to data-driven investment decisions while growing your expertise in finance and emerging technologies.

How You Will Add Value?

In this role, you will:

Support the end-to-end data science workflow, including data extraction, cleaning, feature engineering, model development, validation, and deployment.

Apply statistical and machine learning techniques to financial datasets, including market data, transactional data, and alternative data sources.

Build and maintain predictive models and analytical tools to support portfolio management, risk assessment, and investment research.

Implement and refine NLP and Generative AI solutions for research automation, sentiment analysis, and document summarization.

Create data visualizations and dashboards (e.g., Python Streamlit) to help communicate insights to portfolio managers, research teams, and senior stakeholders.

Document methodologies, results, and processes to ensure reproducibility and effective knowledge sharing.

What Will Help You Succeed in This Role?

Education & Certifications:

Bachelor’s or Master’s degree in Engineering, Data Science, Statistics or related field.

CFA, CQF, or FRM certification is a plus.

Experience:

0 - 2 years in data science roles.

Exposure to financial services data is preferred but not required.

Technical Skills:

Proficiency in Python and SQL for data extraction, analysis, modeling, and reporting.

Practical experience building and evaluating ML models (e.g., regression, classification, clustering, ensemble methods).

Foundational understanding of time-series analysis, statistical modeling, and optimization techniques.

Awareness of MLOps concepts (e.g., version control, model monitoring, pipeline automation, and reproducible workflows) is a plus but not required

Hands-on exposure to generative AI and agent-based frameworks

Soft Skills:

Good communication skills with the ability to present technical findings.

Ability to work independently while collaborating effectively in a team-oriented environment.

Intellectual curiosity and a passion for using data to generate insights.

Results-oriented mindset with a proactive approach to problem-solving.

Interest in capital markets and investment processes.

Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST

Experience our welcoming culture and reach your professional and personal potential!

Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.

Hear more from our employees

  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. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered.  

Highlights of our benefits include: Professional development growth opportunities through in-house classes and over 150 Web-based training courses

An educational assistance program to financially help employees seeking continuing education

Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents)

Life insurance for protection of employees’ families

Personal accident insurance for protection of employees and their families

Personal loan assistance

Employee Stock Investment Plan (ESIP)

12 weeks Paternity leave

Onsite fitness center, recreation center, and cafeteria

Transport facility

Child day care facility for women employees

Cricket grounds and gymnasium

Library

Health Center with doctor availability

HDFC ATM on the campus

Learn more about the wide range of benefits we offer at Franklin Templeton

Franklin Templeton 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.    Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com . In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.