Data Scientist LLM

Franklin Templeton; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Professional development

Educational assistance

Medical insurance

Life insurance

ESIP

Paternity leave

Onsite facilities

Transport facility

Job summary

Franklin Templeton is seeking an experienced AI/ML professional to join their AI Platform and AI Investment Group in Hyderabad. The role focuses on turning business questions into testable hypotheses, building ML and LLM solutions, and producing robust, production-ready models.

You will work with engineers on deployment, monitoring, and governance while communicating uncertainty to stakeholders. You will lead data preparation, feature engineering, and model validation efforts, ensuring bias

Qualifications

• Master’s degree preferred in a quantitative discipline or equivalent experience.
• Five+ years of relevant professional experience.
• Experience delivering models into production or decision workflows.
• Strong foundation in statistics and ML/AI methods.

Responsibilities

• Convert business questions into testable hypotheses and research plans.
• Develop statistical, ML, and Large Language Model solutions.
• Create rigorous evaluation frameworks for accuracy, groundedness, and reproducibility.
• Prepare complex datasets and engineer reliable features.
• Identify bias, leakage, instability, and overfitting.
• Maintain experiment tracking, documentation, lineage, and change controls.

Skills

Advanced Python

SQL

ML & statistics

NLP basics

Production ML

Model validation

Experiment tracking

Communication

Education

Master’s degree in a quantitative field

Bachelor’s degree in a quantitative field

Tools

Cloud platforms

ML Ops

Model registries

Retrieval-augmented generation

Job description

Job Description:

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique.

From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.

About The Department

• Franklin Templeton’s AI Platform and AI Investment Group builds shared data, engineering, and artificial intelligence capabilities across investment, distribution, and corporate functions. Small, multidisciplinary agile teams partner with investment professionals, product leaders, engineers, architects, and governance stakeholders. The collaborative, evidence‑led environment offers opportunities to build trusted enterprise solutions, influence responsible AI adoption, and expand technical expertise.

How You Will Add Value?

Core Responsibilities

• You will convert business questions into testable hypotheses and research plans.
• You will develop statistical, machine-learning, and Large Language Model solutions.
• You will create rigorous evaluation frameworks for accuracy, groundedness, and reproducibility.
• You will prepare complex datasets and engineer reliable features.
• You will identify bias, leakage, instability, and overfitting.
• You will maintain experiment tracking, documentation, lineage, and change controls.

Strategic Responsibilities

• You will identify valuable artificial intelligence opportunities within systems and workflows.
• You will balance artificial intelligence approaches with traditional solutions.
• You will improve testing, alerting, reviews, and documentation through automation.
• You will evaluate emerging methods against measurable business value.

Team & Collaboration

• You will partner with engineers on deployment, monitoring, and drift detection.
• You will communicate evidence, uncertainty, and limitations to diverse stakeholders.
• You will mentor colleagues and contribute to peer reviews.

What Will Help You Be Successful in This Role?

Experience, Education & Certifications

• Master’s degree preferred, or equivalent Bachelor’s-level education and experience.
• Degree in a quantitative or technical discipline.
• Five or more years of relevant professional experience.
• Experience delivering models into production or decision‑making workflows.

Technical Skills

• Advanced Python and Structured Query Language skills.
• Strong statistics, machine learning, and model‑validation expertise.
• Experience with generative artificial intelligence and Large Language Models.
• Retrieval‑augmented generation, prompting, agents, and output evaluation.
• Experience with large, imperfect, and complex datasets.
• Familiarity with cloud platforms, Machine Learning Operations, and model registries.
• Natural language processing experience is advantageous.

Soft Skills

• Strong analytical judgement and structured problem-solving.
• Clear communication with technical and non‑technical audiences.
• Effective collaboration in ambiguous, highly governed environments.

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

At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.

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

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.

Artificial intelligence or automated tools may be used to assist in the screening, assessment, or selection of applicants for this position.