Data Scientist — AI & Data Solutions (Hybrid)

Kyndryl

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+

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Job summary

Kyndryl in Singapore is seeking a Data Scientist to bridge business problems with data-driven solutions. You will collect and explore data, build hypotheses, and deploy models as code to applications, ensuring value across the lifecycle.

The role blends statistics, domain knowledge, and software engineering to deliver measurable impact. You’ll join a hybrid-friendly culture that supports well-being and growth, with learning opportunities, certifications, and a commitment to inclusive

Qualifications

  • Knowledge of modeling tools and programming languages in Python and CTT.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry.
  • Develop and deploy software components based on microservices architecture.
  • Strong technical knowledge in AI.
  • Strong coding experience in programming languages such as Python and/or C+.
  • Hands on experience developing and deploying AI Agents, RAG and vector/graph databases.
  • Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformations.
  • Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js).
  • Team player with the ability to work in a cross-functional team with excellent interpersonal skills.
  • Strong communication skills, both verbal and written, as well as strong presentation and engagement skills.

Skills

Python
C++
Analytical thinking
AI
Microservices
AI Agents
RAG
Vector/Graph databases
Mesh algorithms
Blender
OpenGL
CGAL
Three.js
Teamwork
Communication

Tools

Blender
OpenGL
CGAL
Three.js

Job description

Kyndryl in Singapore is seeking a Data Scientist to bridge business problems with data-driven solutions. You will collect and explore data, build hypotheses, and deploy models as code to applications, ensuring value across the lifecycle.

The role blends statistics, domain knowledge, and software engineering to deliver measurable impact. You’ll join a hybrid-friendly culture that supports well-being and growth, with learning opportunities, certifications, and a commitment to inclusive

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