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Updated 2026-06-30 14:00 UTC·© 2025–2026 RoleSuite
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Data Scientist (Mirage/Data Practice/AI)

Kyndryl · Singapore, South West, Singapore

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

Our team has developed whole-of-government tools like Cloak for anonymisation, which is used by 100+ agencies today and has anonymised over 30 million documents to power data analytics and Generative AI use cases, as well as Mirage for Synthetic Data Generation. Additionally, we partner across ecosystems to design and develop reusable, scalable, and cost-effective cloud-native data and AI products to address common industry challenges.

We are seeking Data and AI Scientists across three distinct tracks to help architect Singapore’s digital future

Track A: Product & Software Integration (Mirage Focus)

  • Model Development: Design and conduct experiments to evaluate emerging Synthetic Data Generation (SDG) models (e.g., DDPM, ARF, Gaussian Copula). Tune hyperparameters, refine architectures, and investigate failure cases.
  • Feature & Product Development: Collaborate with software engineers to build product features requiring ML/DS input (e.g., imputation methods, handling of constraints, preprocessing pipelines).
  • Diagnostics & Debugging: Work directly with users and the engineering team to diagnose issues with training failures, poor outputs, or integration challenges.
  • Collaboration: Work closely with the software engineering team (Next.js, FastAPI, AWS) to integrate the generation engine into production-ready systems.

2. Track B: Applied Research & Agency Partnership (PETs Portfolio)

  • Applied Research & Development: Design and execute rigorous experiments to evaluate emerging privacy solutions (Advanced Anonymisation, Homomorphic Encryption, Differential Privacy, Federated Learning). Translate academic research into practical, deployable proof-of-concepts.
  • Agency Partnership & Pilot Implementation: Collaborate directly with government agencies to understand unique privacy challenges, design and execute pilot programmes, and provide technical consultation throughout their adoption journey.
  • Solution Innovation: Identify opportunities where PETs can address common data challenges across government and establish clear implementation pathways for widespread ecosystem adoption.

3. Track C: Cloud-Native & Advanced AI Applications (Industry Focus)

  • AI Product Development: Work with product owners, engineering teams, and industry partners throughout the product lifecycle from concept, data curation, to operationalisation.
  • Advanced Workflow Deployment: Hands-on development and deployment of AI Agents, Retrieval-Augmented Generation (RAG), and vector/graph databases.
  • Architectural Engineering: Develop and deploy software components based on a microservices-based architecture within agile secure software development processes.
  • Geometric Modeling: Propose and validate algorithms utilizing 3D geometry, vector math, coordinate systems, and mesh manipulation.


 


Who You Are

  • Bachelor's degree or higher in Computer Science, Data Science, Engineering, Computer Engineering, Mathematics, Statistics, Business Analytics, or a related field.

  • At least 2-3 years of relevant professional experience.

  • Strong foundation in machine learning, with hands-on experience in model development and experimentation.

  • Strong programming proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

  • Ability to analyze model behavior, diagnose training issues, and design experiments to optimize performance and reliability.

  • Working knowledge of backend development (REST APIs, FastAPI, Flask, or similar).

  • Comfortable working with cloud environments (AWS preferred) and engineering best practices (Git, CI/CD).

  • Demonstrated ability to read, synthesize, and critically evaluate academic research papers and technical literature

  • Extensive experience with OpenAI and Claude code-based prompt engineering.

  • Hands-on experience developing AI Agents and RAG.

  • Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Revit) and/or programming libraries (e.g., OpenGL, CGAL, Three.js).

  • Familiarity with frontend integration workflows (Next.js/React).


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.

Data & ML pay context

Based on 1,539 disclosed Data & ML salaries on RoleSuite, the role pays a median of $161K/year, with most offers between $127K and $200K (10th–90th percentile: $102K–$245K).

See the full Data & ML salary breakdown →
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