Data Scientist

KYNDRYL (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology firm in Singapore is seeking an experienced Data Scientist to bridge business problems and innovative solutions. The candidate will work on data analysis, machine learning, and privacy-enhancing technologies, collaborating with engineering teams for enterprise solutions. A bachelor's degree and 3 years of experience in the field are required. Join us to redefine what's possible with data.

Qualifications

• 3 years of professional experience in data science and machine learning.
• Strong programming proficiency in Python and experience with ML frameworks.
• Familiarity with AWS cloud services and backend development.

Responsibilities

• Work on end-to-end data science initiatives and develop predictive models.
• Conduct research on privacy-enhancing technologies and apply findings.
• Monitor and troubleshoot data pipelines and cloud services.

Skills

Data analysis

Machine learning

Python

Analytical thinking

Communication

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Tools

AWS Redshift

AWS Glue

AWS QuickSight

AWS Lambda

PyTorch

TensorFlow

scikit-learn

Job description

Job Description

As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.

You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.

Our team is focused on advancing data privacy capabilities and driving adoption of Privacy-Enhancing Technologies (PETs) across industries. We have developed innovative tools for data anonymization and Synthetic Data Generation (SDG)—a cutting‑edge technology that creates safe, shareable alternatives to sensitive data for analytics and AI use cases.

We are seeking a Data Scientist to support the growth of our SDG platform, currently offered as a web interface with API integration on the roadmap. This role involves active feature development and collaboration with engineering teams to deliver scalable, secure solutions for enterprise clients.

Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.

If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl

Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands‑on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Job Qualifications

Who You Are

As a Data Scientist, you will work on end-to-end data science initiatives, including analyzing large datasets and developing predictive models using Python and leading ML frameworks such as PyTorch, TensorFlow, and scikit‑learn. You will conduct research and experiments on privacy‑enhancing technologies (PETs), translating academic findings into practical, deployable solutions. This role involves designing proof‑of‑concepts and pilot programs to validate innovative approaches, collaborating closely with software engineers to integrate machine learning features into production systems, and supporting CI/CD workflows. Additionally, you will monitor and troubleshoot data pipelines and cloud services (AWS Redshift, Glue, QuickSight, Lambda), create dashboards and visualizations to communicate insights effectively, and document methodologies to ensure transparency and knowledge sharing across stakeholders.

Required Skills and Experience

• Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics, or related field.
• 3 years of professional experience in data science and machine learning.
• Strong programming proficiency in Python and experience with ML frameworks.
• Familiarity with AWS cloud services and backend development (REST APIs, FastAPI, Flask).
• Knowledge of CI/CD, Git, and collaborative coding best practices.
• Strong analytical thinking, problem-solving, and communication skills.

Preferred Skills and Experience

• Experience with privacy‑enhancing technologies (anonymization, SDG, differential privacy).
• Familiarity with frontend integration workflows (Next.js/React).
• Prior experience in multi‑disciplinary product teams.
• Curiosity and willingness to learn new domains, especially data privacy.