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!

• At Franklin Templeton, everything we do is focused on one thing – delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge. Over 9,500 employees working in 30 countries around the world are dedicated to servicing investment solutions for our clients in more than 155 countries. For more than 75 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team.

What is the Data Scientist in FTT Digital Technology group responsible for?

• As a Data Scientist, you will play a critical role in leveraging data analytics to tackle business challenges and drive insights. Your responsibilities will include working on machine learning models and applying advanced analytics techniques to solve problems and support decision-making. You will be involved in various aspects of the data pipeline, from collection to analysis, and will contribute to the development of data-driven solutions. You’ll work under the guidance of senior team members, gaining hands-on experience and growing your skills in both traditional and innovative data science methodologies

What are the ongoing responsibilities of a Data Scientist?

Data Collection and Preprocessing:

• Implement data collection strategies to gather relevant data from different sources.
• Clean, preprocess, and validate data to ensure accuracy and reliability for subsequent analysis.
• Assist in maintaining and enhancing data pipelines in collaboration with data engineering teams.

Statistical Analysis:

• Perform exploratory data analysis to identify trends, patterns, and insights within datasets.
• Apply basic statistical techniques to test hypotheses, validate assumptions, and draw conclusions from data.

Machine Learning and AI Model Development:

• Develop and optimize machine learning models to address business problems and improve processes.
• Explore and apply Generative AI techniques under the supervision of senior team members to contribute to innovative solutions.
• Assist in model evaluation, validation, and deployment, monitoring performance and making adjustments as needed.

Understanding Human Behavior for AI Applications:

• Analyze data related to human behavior to help develop models that predict and influence outcomes.
• Work with domain experts to incorporate insights into AI models, enhancing their relevance and accuracy.

Data Engineering Collaboration:

• Collaborate with data engineering teams to ensure smooth integration of models into existing data systems.
• Contribute to designing and implementing scalable data storage solutions.

Cross-functional Collaboration:

• Work with product management, marketing, and business stakeholders to understand requirements and provide data-driven insights.
• Communicate analytical concepts and insights effectively to non-technical stakeholders through reports and visualizations.

Continuous Learning and Innovation:

• Stay updated on the latest developments in data science, machine learning, and AI technologies.
• Experiment with new methodologies and tools to enhance project outcomes and expand your skill set.

What ideal qualifications, skills & experience would help someone to be Successful?

• Master’s or bachelor’s degree in Statistics, Mathematics, Econometrics, Computer Science, Engineering, or related disciplines
• 2-4 years of experience in data science, predictive modeling, and machine learning.
• Proficiency in Python, R, or SQL, with hands-on experience in data analysis and model development.
• Basic knowledge of Generative AI models and their applications
• Ability to translate business problems into analytical tasks.
• Skill in explaining statistical and machine learning techniques to business partners.
• Experience in creating data-driven stories and insights.
• Proficiency in handling large datasets, including data cleansing, manipulation, and mining.
• Capability to tackle ambiguous challenges with a problem-solving mindset.
• Curiosity and willingness to learn independently.
• Strong written and verbal communication skills.
• Effective organizational and planning abilities
• Ability to work well under pressure and adapt in a dynamic environment.
• Team-oriented approach with a capacity to work independently when needed.
• Strong interpersonal skills and the ability to build relationships with colleagues and stakeholders

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 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 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.