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Data Scientist

SingtelSingaporePosted 20 May 2026

Singtel is seeking a Data Scientist to analyze complex datasets and develop machine learning models to support business strategy. Responsibilities include gathering and preprocessing data, designing and deploying predictive models, and collaborating with cross-functional teams. Candidates require over 5 years of experience and an advanced degree in a quantitative field. This role focuses on driving actionable intelligence within a large telecommunications infrastructure.

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Experience

5+ years

Function

Research

Work mode

Onsite, Singapore

Company

Tier 2

What you will work on

Singtel is seeking a Data Scientist to analyze complex datasets and develop machine learning models to support business strategy. Responsibilities include gathering and preprocessing data, designing and deploying predictive models, and collaborating with cross-functional teams. Candidates require over 5 years of experience and an advanced degree in a quantitative field. This role focuses on driving actionable intelligence within a large telecommunications infrastructure.

TAL's take

Quality 60/1005/5 clarityTier 2 company

Stable established employer with clearly defined, standard data science responsibilities.

The JD clearly outlines the data science workflow, required technical skills, and educational qualifications.

Must haves

  • Master's Degree or PhD in CS, Data Science, Statistics, Mathematics, or Engineering
  • More than 5 years in data science, machine learning, or advanced analytics
  • Experience with large, complex structured and unstructured datasets
  • Proficiency in scripting for data analysis and machine learning
  • Strong foundation in probability, hypothesis testing, regression, and optimization
  • Skills in ML Frameworks, ETL pipelines, and feature engineering

Tools and skills

scriptingml frameworksetl pipelinesfeature engineeringsupervised learningunsupervised learningreinforcement learning

About the company

Singtel is a major regional telecommunications corporation, classified as tier 2 for engineering roles as it is not a tech-native company.

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