Data Scientist (Mirage/Data Practice/AI)

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.