Data Scientist

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 50,000 - 75,000; Full time

Job summary

Join a leading company as a Junior Data Scientist in the G.L.O.W Graduate Program designed to kickstart your tech career. This program offers hands-on experience and the opportunity to work closely with industry experts on data-driven solutions utilizing machine learning and analytics.

Benefits

Hands-on experience

Exposure to industry experts

Diverse range of projects

Qualifications

• Strong foundation in statistics, data analysis, and machine learning concepts.
• Experience with SQL and data querying.
• Eagerness to learn and grow.

Responsibilities

• Assist in collecting, processing, and analyzing large datasets.
• Build and evaluate predictive models using machine learning.
• Create visualizations and dashboards for insights.

Skills

Statistics

Data Analysis

Machine Learning

Communication

Problem Solving

Education

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

Tools

Python

Ruby

pandas

scikit-learn

NumPy

TensorFlow

SQL

AWS

GCP

Azure

Jupyter Notebooks

Git

Job description

Introduction

Kickstart your career with NTTS’s G.L.O.W Graduate Program, the ultimate launchpad for your tech career!

G – Grow in accelerated development path

L – Lead yourself with purpose & commitment

O – Own your career journey

W – Way Forward

Our comprehensive one-year program is tailored to empower talented and driven graduates like you with valuable hands-on experience, exposure to industry experts, and a diverse range of projects that will sharpen your skills and broaden your understanding to the ICT industry.

We are seeking a highly motivated and curious Junior Data Scientist to join our data team. This role is ideal for fresh graduates who are passionate about data, analytics, and solving real-world problems using machine learning and statistical techniques. You will work closely with experienced data scientists and engineers to build data-driven solutions that drive business value.

Responsibilities

• Assist in collecting, processing, and analyzing large datasets from various sources.

• Build and evaluate predictive models using machine learning algorithms.

• Support the development of data pipelines and automation workflows.

• Create visualizations and dashboards to communicate insights to stakeholders.

• Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.

• Stay updated with the latest trends and tools in data science and AI.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Strong foundation in statistics, data analysis, and machine learning concepts.

• Proficiency in Python or Ruby, and familiarity with libraries such as pandas, scikit-learn, NumPy, or TensorFlow.

• Experience with SQL and data querying.

• Good communication and problem-solving skills.

• Eagerness to learn and grow in a collaborative environment.

Preferred / Added Advantages

• Participation in data science internships, innovation programs, or competitions (e.g., Kaggle, hackathons, university challenges).
• Experience with real-world datasets or academic projects involving predictive modeling or data storytelling.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and tools like Jupyter Notebooks or Git.