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Lead AI/ML Data Scientist

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead machine learning and Generative AI initiatives

  • Design experiments and evaluation methodologies for AI products

  • Establish quality, performance, and risk standards for models

  • Oversee production-readiness and monitoring practices

  • Mentor and develop data science talent

From the employer’s posting
You will lead machine learning and Generative AI initiatives.
You will design experiments and evaluation methodologies.
You will establish quality, performance, and risk standards.
You will oversee production-readiness and monitoring practices.
You will mentor and develop data science talent.

What you’ll bring

All qualifications

Core experience

  • Proven experience leading technical teams and initiatives
  • Advanced Python and SQL expertise
  • Strong knowledge of statistics and machine learning
  • Experience with Generative AI and Large Language Models
Qualification wording
Proven experience leading technical teams and initiatives.
Advanced Python and SQL expertise.
Strong knowledge of statistics and machine learning.
Experience with Generative AI and Large Language Models.
Education & alternatives
Experience, Education & Certifications - Master’s degree preferred in a quantitative discipline. - Bachelor’s degree with equivalent experience considered.
- Master’s degree preferred in a quantitative discipline. - Bachelor’s degree with equivalent experience considered. - 10+ years of data science or machine learning experience.

About Franklin International

The AI and Digital Platform team within Sales and Distribution develops AI-powered, data-driven, and workflow solutions that support key business objectives.

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

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 SQL expertise. - Strong knowledge of statistics and machine learning.

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 within Sales and Distribution develops AI-powered, data-driven, and workflow solutions that support key business objectives. The team brings together data scientists, software engineers, technical leaders, product managers, architects, and governance specialists to deliver enterprise-scale AI capabilities. Team members work collaboratively in small, multidisciplinary groups focused on evidence-based decision-making, innovation, and responsible AI practices. Joining the team offers the opportunity to shape advanced AI products, influence strategic decisions, and work on high-impact initiatives across the organization.

How you will add value?

Core Responsibilities


  • You will lead machine learning and Generative AI initiatives.
  • You will define scientific approaches for AI product development.
  • You will design experiments and evaluation methodologies.
  • You will guide model, retrieval, and optimization strategies.
  • You will establish quality, performance, and risk standards.
  • You will oversee production-readiness and monitoring practices.
  • You will drive continuous model and product improvement.

Strategic Responsibilities


  • You will translate business problems into measurable solutions.
  • You will partner with product and engineering leaders.
  • You will define evaluation strategies and success criteria.
  • You will prioritize improvements using evidence and user feedback.
  • You will align AI capabilities with business outcomes.

Team & Collaboration


  • You will mentor and develop data science talent.
  • You will establish analytical standards and reusable frameworks.
  • You will communicate findings to business and technology leaders.
  • You will influence decisions through scientific evidence.
  • You will support responsibility and governed AI adoption.

What will help you be successful in this role?

Experience, Education & Certifications


  • Master’s degree preferred in a quantitative discipline.
  • Bachelor’s degree with equivalent experience considered.
  • 10+ years of data science or machine learning experience.
  • Proven experience leading technical teams and initiatives.

Technical Skills


  • Advanced Python and SQL expertise.
  • Strong knowledge of statistics and machine learning.
  • Experience with Generative AI and Large Language Models.
  • Expertise in Retrieval-Augmented Generation and agent frameworks.
  • Experience with MLOps, monitoring, and model governance.
  • Knowledge of cloud-based AI platforms.
  • Experience designing evaluation and experimentation frameworks.

Soft Skills


  • Strong leadership and mentoring capabilities.
  • Excellent communication and stakeholder management skills.
  • Strong analytical and critical-thinking abilities.
  • Ability to influence strategic decisions.
  • Ability to manage ambiguity in regulated 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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