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Data Scientist / LLM

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Turn business questions into testable hypotheses and research plans

  • Develop statistical, machine-learning, and LLM solutions

  • Create evaluation frameworks for accuracy, groundedness, and reproducibility

  • Prepare complex datasets and engineer reliable features

  • Partner with engineers on deployment, monitoring, and drift detection

From the employer’s posting
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 partner with engineers on deployment, monitoring, and drift detection.

What you’ll bring

All qualifications

Core experience

  • 5+ years of relevant professional experience
  • Experience delivering models into production or decision-making workflows
  • Advanced Python and SQL skills
  • Strong statistics, machine learning, and model-validation expertise
  • Experience with generative AI and Large Language Models
Qualification wording
Five or more years of relevant professional experience.
Experience delivering models into production or decision-making workflows.
Advanced Python and Structured Query Language skills.
Strong statistics, machine learning, and model-validation expertise.
Experience with generative artificial intelligence and Large Language Models.
Education & alternatives
Experience, Education & Certifications - Master’s degree preferred, or equivalent Bachelor’s-level education and experience. - Degree in a quantitative or technical discipline.

About Franklin International

Franklin Templeton’s AI Platform and AI Investment Group builds shared data, engineering, and artificial intelligence capabilities across investment, distribution, and corporate functions.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 202612 days ago
Recorded sightings
13
Last seen by us
Nov 9, 2026
Employer says posted
Oct 27, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 12

Similar jobs usually come down between day 7 and day 57.

At Franklin International, jobs usually come down by about day 39.

From 10,789 similar postings that came down, and 33 of Franklin International’s. Coming down is not always a hire.

Franklin International is hiring

19 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 5% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
Where the posting names them
Technical Skills - Advanced Python and Structured Query Language skills. - Strong statistics, machine learning, and model-validation expertise.

Your next step

Complete your application on franklintempleton.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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About Franklin International

People
About 439 in 2025.Benefit plan filings (Form 5500)
Company
Listed as BEN.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

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Location & working pattern

Hyderabad, Telangāna, India

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