Data Scientist
NTT SINGAPORE PTE. LTD.

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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