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Data Scientist

Singapore, South West, Singapore

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Apply at Kyndryl Holdings, Inc.

What you’ll work on

Full posting
  • Collaborate to Innovate •Be a team player: Collaborate with top-tier talent in a true builder’s environment, where everyone contributes equally.

  • Build and Deploy •Progress to production: Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.

From the employer’s posting
What you will do Shape Transformation •Impact at scale: Drive Kyndryl as an AI-native company using your ideas and IP to shape transformation. •Solve meaningful challenges: Serve as the bridge between deep technical work and business transformation, identifying solutions to problems using agentic AI. Collaborate to Innovate •Be a team player: Collaborate with top-tier talent in a true builder’s environment, where everyone contributes equally. It’s ideas over titles. •Think in code: Expect rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks. •Have a customer-first mindset: Balance advanced programming with strategic thinking and customer interaction. Build and Deploy •Progress to production: Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale. •Own the lifecycle: Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems. •Architect open source infrastructure: Work on and co-own (not just code, but design, product thinking, and customer success) a modular, open-source agentic AI framework - integrating GenAI and real world tools.
Collaborate to Innovate •Be a team player: Collaborate with top-tier talent in a true builder’s environment, where everyone contributes equally. It’s ideas over titles. •Think in code: Expect rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks. •Have a customer-first mindset: Balance advanced programming with strategic thinking and customer interaction. Build and Deploy •Progress to production: Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale. •Own the lifecycle: Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems. •Architect open source infrastructure: Work on and co-own (not just code, but design, product thinking, and customer success) a modular, open-source agentic AI framework - integrating GenAI and real world tools. Inspire the Next Generation •Share your expertise: Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published. •Elevate your profile: Be an industrial PhD supervisor and co-author whitepapers, publishing as a key contributor with 2nd or 3rd attribution.
Education & alternatives
Build and Deploy •Progress to production: Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale. •Own the lifecycle: Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems. •Architect open source infrastructure: Work on and co-own (not just code, but design, product thinking, and customer success) a modular, open-source agentic AI framework - integrating GenAI and real world tools. Inspire the Next Generation •Share your expertise: Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published. •Elevate your profile: Be an industrial PhD supervisor and co-author whitepapers, publishing as a key contributor with 2nd or 3rd attribution. Who You Are
Who You Are Required Skills and Experience •PhD or equivalent research experience in computer science, mathematics, AI, or a related field •Hands-on agentic AI engineering exposure - building or contributing to frameworks, not just using APIs •Strong programming fluency (Python) and architectural design (e.g. microservice ecosystems, message brokers) •Ability to operate independently and collaborate within a high-trust, low-hierarchy team •Contributions to academic/technical communities and shaping open-source projects Preferred Skills and Experience •Certifications in Azure, AWS, or Google ML platforms •Demonstrated contributions to graph theory, DevOps, or distributed systems •Previous projects involving digital transformation, AI-native product development or enterprise automation •Presence in academic or whitepaper communities (authorship, publication or presentation)

Tools in this posting

  • Python
  • AWS
  • Azure
Source — Tool mentions in context
Collaborate to Innovate •Be a team player: Collaborate with top-tier talent in a true builder’s environment, where everyone contributes equally. It’s ideas over titles. •Think in code: Expect rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks. •Have a customer-first mindset: Balance advanced programming with strategic thinking and customer interaction. Build and Deploy •Progress to production: Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale. •Own the lifecycle: Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems. •Architect open source infrastructure: Work on and co-own (not just code, but design, product thinking, and customer success) a modular, open-source agentic AI framework - integrating GenAI and real world tools. Inspire the Next Generation •Share your expertise: Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published. •Elevate your profile: Be an industrial PhD supervisor and co-author whitepapers, publishing as a key contributor with 2nd or 3rd attribution.
Who You Are Required Skills and Experience •PhD or equivalent research experience in computer science, mathematics, AI, or a related field •Hands-on agentic AI engineering exposure - building or contributing to frameworks, not just using APIs •Strong programming fluency (Python) and architectural design (e.g. microservice ecosystems, message brokers) •Ability to operate independently and collaborate within a high-trust, low-hierarchy team •Contributions to academic/technical communities and shaping open-source projects Preferred Skills and Experience •Certifications in Azure, AWS, or Google ML platforms •Demonstrated contributions to graph theory, DevOps, or distributed systems •Previous projects involving digital transformation, AI-native product development or enterprise automation •Presence in academic or whitepaper communities (authorship, publication or presentation)
Required Skills and Experience •PhD or equivalent research experience in computer science, mathematics, AI, or a related field •Hands-on agentic AI engineering exposure - building or contributing to frameworks, not just using APIs •Strong programming fluency (Python) and architectural design (e.g. microservice ecosystems, message brokers) •Ability to operate independently and collaborate within a high-trust, low-hierarchy team •Contributions to academic/technical communities and shaping open-source projects Preferred Skills and Experience •Certifications in Azure, AWS, or Google ML platforms •Demonstrated contributions to graph theory, DevOps, or distributed systems •Previous projects involving digital transformation, AI-native product development or enterprise automation •Presence in academic or whitepaper communities (authorship, publication or presentation) Being You

About Kyndryl Holdings, Inc.

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

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

Your Role
As an Agentic AI Data Scientist at Kyndryl, you’ll help shape the future of advanced agentic AI while working with a team that’s leading the industry. We're solving real-world problems at a massive scale, powered by creativity, precision, and a shared obsession with what’s next.

You’ll be part of a team shaping the future of agentic AI - architecting and scaling a next-gen open-source framework that powers autonomous systems.

We're not just talking innovation - we're building it. Fast.

What you will do
Shape Transformation
•Impact at scale: Drive Kyndryl as an AI-native company using your ideas and IP to shape transformation.
•Solve meaningful challenges: Serve as the bridge between deep technical work and business transformation, identifying solutions to problems using agentic AI.

Collaborate to Innovate
•Be a team player: Collaborate with top-tier talent in a true builder’s environment, where everyone contributes equally. It’s ideas over titles.
•Think in code: Expect rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks.
•Have a customer-first mindset: Balance advanced programming with strategic thinking and customer interaction.

Build and Deploy
•Progress to production: Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.
•Own the lifecycle: Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems.
•Architect open source infrastructure: Work on and co-own (not just code, but design, product thinking, and customer success) a modular, open-source agentic AI framework - integrating GenAI and real world tools.

Inspire the Next Generation
•Share your expertise: Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published.
•Elevate your profile: Be an industrial PhD supervisor and co-author whitepapers, publishing as a key contributor with 2nd or 3rd attribution.


Who You Are

Required Skills and Experience
•PhD or equivalent research experience in computer science, mathematics, AI, or a related field
•Hands-on agentic AI engineering exposure - building or contributing to frameworks, not just using APIs
•Strong programming fluency (Python) and architectural design (e.g. microservice ecosystems, message brokers)
•Ability to operate independently and collaborate within a high-trust, low-hierarchy team
•Contributions to academic/technical communities and shaping open-source projects

Preferred Skills and Experience
•Certifications in Azure, AWS, or Google ML platforms
•Demonstrated contributions to graph theory, DevOps, or distributed systems
•Previous projects involving digital transformation, AI-native product development or enterprise automation
•Presence in academic or whitepaper communities (authorship, publication or presentation)


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.

Your next step

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Location & working pattern

Singapore, South West, Singapore

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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First seen by us
Sep 22, 2026
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Last seen by us
Sep 28, 2026

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