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AI/ML Data Scientist

Pay
Pay not listed
Work setting
Not stated
Employment
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What you’ll work on

Full posting
  • Build machine learning and generative AI solutions

  • Develop Retrieval-Augmented Generation and retrieval strategies

  • Evaluate and compare models using measurable evidence

  • Integrate models into production workflows and define drift monitoring

  • Convert business questions into data-driven experiments

From the employer’s posting
You will build machine learning and Generative Artificial Intelligence solutions.
You will develop Retrieval-Augmented Generation and retrieval strategies.
You will evaluate and compare models using measurable evidence.
You will integrate models into production workflows.
You will convert business questions into data-driven experiments.

What you’ll bring

All qualifications

Core experience

  • Bachelor's or Master's degree in a quantitative discipline
  • Advanced Python and SQL skills
  • Strong statistical and machine learning knowledge
  • Experience with Generative AI and Large Language Models

Preferred experience

  • Cloud-based data and AI platform experience
Qualification wording
Bachelor’s or Master’s degree in a quantitative discipline.
Advanced Python and Structured Query Language skills.
Strong statistical and machine learning knowledge.
Experience with Generative Artificial Intelligence and Large Language Models.
Cloud-based data and Artificial Intelligence platforms.
Education & alternatives
Experience, Education & Certifications - Bachelor’s or Master’s degree in a quantitative discipline. - 5+ years of data science or machine learning experience.

About Franklin International

The AI and Digital Platform team supports Franklin Templeton’s Sales and Distribution organization by developing Artificial Intelligence, data, digital, and workflow solutions that improve business performance.

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 24, 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

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  • Python
  • SQL
Where the posting names them
Technical Skills - Advanced Python and Structured Query Language skills. - Strong statistical and machine learning knowledge.

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
  • The AI and Digital Platform team supports Franklin Templeton’s Sales and Distribution organization by developing Artificial Intelligence, data, digital, and workflow solutions that improve business performance. The team includes software engineers, data scientists, architects, product specialists, and governance partners who work closely together in small, multidisciplinary teams. The environment is highly collaborative, evidence-driven, and innovation-focused, providing opportunities to work on enterprise-scale Artificial Intelligence products, solve complex business challenges, and expand expertise in emerging technologies.

How You Will Add Value?

Core Responsibilities


  • You will convert business questions into data-driven experiments.
  • You will design hypotheses, metrics, and evaluation frameworks.
  • You will build machine learning and Generative Artificial Intelligence solutions.
  • You will develop Retrieval-Augmented Generation and retrieval strategies.
  • You will create datasets to assess model quality and performance.
  • You will engineer features from structured and unstructured data.
  • You will evaluate and compare models using measurable evidence.

Strategic Responsibilities


  • You will improve model accuracy, reliability, and explainability.
  • You will integrate models into production workflows.
  • You will define monitoring and drift-detection requirements.
  • You will maintain reproducible experiments and documentation.
  • You will support governance and responsible Artificial Intelligence practices.
  • You will communicate findings to technical and business stakeholders.

Team & Collaboration


  • You will collaborate with software engineers and product teams.
  • You will partner with data engineers on deployment activities.
  • You will support peer reviews and knowledge sharing.
  • You will contribute to cross-functional delivery efforts.

What Will Help You Be Successful in This Role?

Experience, Education & Certifications


  • Bachelor’s or Master’s degree in a quantitative discipline.
  • 5+ years of data science or machine learning experience.
  • Experience delivering analytics or machine learning solutions.
  • Experience working with real-world business data.

Technical Skills


  • Advanced Python and Structured Query Language skills.
  • Strong statistical and machine learning knowledge.
  • Feature engineering and experiment design expertise.
  • Experience with Generative Artificial Intelligence and Large Language Models.
  • Retrieval-Augmented Generation, embeddings, and semantic search.
  • Agent workflows and model evaluation techniques.
  • Cloud-based data and Artificial Intelligence platforms.

Soft Skills


  • Strong analytical thinking.
  • Effective communication skills.
  • Collaborative working style.
  • Ability to explain technical concepts clearly.
  • Focus on measurable business outcomes.






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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