Job Description

Introduction

Support the data science projects in ONE, by performing data analysis and development, focusing mainly on Machine Learning and AI developments for inhouse projects. Undertaking data collection, pre-processing and analysis to make smarter decisions. Presenting information using data visualization techniques to enhance business outcomes.

Key Responsibilities:

Work closely with the data science team to contribute to live projects. Assist in designing, developing, and implementing data-driven solutions. Deliver project outcomes to internal stakeholders or external customers. Clean, preprocess, and analyze structured and unstructured data. Apply statistical analysis, data analysis, machine/deep learning models, and predictive analytics to solve business problems. Assist in feature engineering, model training, evaluation, and optimization. Collaborate with cross-functional teams, including project lead, data analysts, data engineers and MLOps Engineers. Work with customers to understand their needs and translate them into data science solutions. Present insights and findings in a clear, actionable format. Document workflows, methodologies, and results for knowledge sharing. Stay updated with the latest advancements in machine learning, AI, and data science. Participate in technical discussions and knowledge-sharing sessions.

Required Skills & Qualifications:

Currently pursuing or having completed a Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, AI, Engineering, or a highly related field is required. A Master's degree in any of the above disciplines is preferred. Proficiency in Python and SQL, along with relevant data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Experience with data preprocessing, feature engineering, and model evaluation techniques or projects. Familiarity with big data technologies (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure) is a plus. Ability to communicate technical concepts effectively and collaborate with cross-functional teams. Commitment Period : 6 months (Full Time)

Job Type

: Internship

Contract length

: 6 months

Work Location

: In person

Expected Start Date

: 16/06/2025

Schedule:

Monday to Friday (8.30am to 530pm)
Experience:

Machine learning : 1 year (Preferred)
Job Types: Full-time, Internship
Contract length: 6 months

Pay: $1.00 - $1,200.00 per month

Benefits:

Food provided
Schedule:

Monday to Friday
Work Location: In person

Application Deadline: 06/07/2025
Expected Start Date: 01/08/2025