Data Scientist

NTT SINGAPORE PTE. LTD.


Date: 2 days ago
Area: Singapore, Singapore
Salary: SGD 3,800 - SGD 4,500 per month
Contract type: Full time

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.
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