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Data Scientist

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Develop and deploy Generative AI and LLM projects aligned with business goals

  • Build AI agents and contribute to Gen AI solutions

  • Design and deploy POCs and POVs across industry verticals

  • Demonstrate Generative AI applications to customers

  • Integrate AI/ML solutions into cloud environments with cross-functional teams

From the employer’s posting
Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
Participate in the development of gen AI solutions, AI Agent development
Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals
Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).

What you’ll bring

All qualifications

Core experience

  • Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
  • Experience in AI/ML, with a focus on Generative AI and Large Language Models.
  • Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
  • Experience in using LLM models on cloud i.e.
Qualification wording
Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.

About Kyndryl Holdings

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.

In the employer’s words · Read in context

Apply at Kyndryl Holdings

Posting record

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Open 5 monthsWe first saw this posting 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 16, 2026150 days ago
Recorded sightings
281
Last seen by us
Nov 13, 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 150

Up longer than most. Similar jobs usually come down between day 8 and day 60.

Well past Kyndryl Holdings’s usual: its jobs come down by about day 24.

From 11,783 similar postings that came down, and 125 of Kyndryl Holdings’s. Coming down is not always a hire.

Kyndryl Holdings is hiring

39 open jobs

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

  • Hiring is picking up
  • Takes jobs down at a usual pace
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.

  • C
  • Python
  • AWS
  • Azure
  • GCP
  • C++
Where the posting names them
- Should have done 2-3 projects in domain of expertise, - Should have strong good knowledge of Python, C/C++. - Be fluent in English (written and spoken).
- Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses. - Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). Who You Are
- ​Comfortable with development of AI Agents - Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). - Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
- Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions. - Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI. - Should have done 2-3 projects in domain of expertise,

Your next step

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

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Already applied? Track this application

Has Kyndryl Holdings posted this job before?

Yes. We’ve followed 3 other Data Scientist jobs there since May 2026. One came down after 65 days. 2 are still up.

  1. GurugramStill up after 188 days, first seen May 9
  2. MumbaiStill up after 188 days, first seen May 9
  3. BarcelonaCame down after 65 days, first seen May 9
  4. This jobUp 150 days so far, first seen Jun 16

Large employers often post one title for several teams, so these can be separate openings.

About Kyndryl Holdings

People
About 72,000 in 2026, down 1% from the year before.Annual report (SEC Form 10-K)
Company
Listed as KD.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% 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 1,403, the most 2,949, and the latest week had 2,098.
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 ↗

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.


The Role

We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
Responsibilities
 

  • Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
  • Participate in the development of gen AI solutions, AI Agent development
  • Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
  • Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).


Who You Are

Requirements

        

      MUST HAVE

  • Graduate / Postgraduate in computer science or computer engineering or equivalent with 6-8 years of experience in the IT Industry.
  • Minimum 4 years of hands on experience Data Scientist Role or Similar role. 
  • Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
  • ​Comfortable with development of AI Agents
  • Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). 
  • Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
  • Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
  • Should have done 2-3 projects in domain of expertise, 
  • Should have strong good knowledge of Python, C/C++.
  • Be fluent in English (written and spoken).


Being You

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.


What You Can Expect

Your career with us isn’t just a job—it’s an adventure with purpose.  We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.

From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.

We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.

We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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KIN51514 Gurugram (KIN51514)

What You Can Expect Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
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