Data Analyst

ATT DIGIVERSE PTE. LTD.; Singapore; On-site; SGD 50,000 - 75,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Junior Data Analyst to support AI/ML modelling and predictive analytics. The successful candidate will engage with stakeholders to gather requirements, prepare datasets, and develop predictive models using Python and statistical methods. This is an excellent opportunity for individuals eager to advance in data science and machine learning. Candidates should have a degree in a quantitative field and possess strong analytical skills.

Qualifications

• Strong foundation in statistics and probability.
• 3–5 years of experience in data analysis or modelling.
• Hands-on experience with Python libraries for data science.

Responsibilities

• Gather and translate stakeholder requirements into analytical tasks.
• Clean and prepare datasets for modelling.
• Develop predictive models using machine learning techniques.
• Build and automate analytics dashboards.

Skills

Analytical skills

Mathematical skills

Python (pandas, NumPy, SciPy)

Communication skills

Curiosity for AI/ML

Education

Degree in Mathematics, Statistics, Data Science, or related fields

Tools

AWS

PyTorch/TensorFlow

Job description

Job Overview

We are seeking a Junior Data Analyst with strong analytical and mathematical skills to support AI/ML modelling, predictive analytics, and optimisation work. This role is ideal for candidates who want to grow into data science, machine learning, or optimisation modelling roles.

Key Responsibilities

Data Requirements & Understanding

• Work with stakeholders to gather requirements and translate them into modelling or analytical tasks.
• Understand operational workflows and identify opportunities for predictive modelling and optimisation.

Data Preparation & Engineering Support

• Clean, transform, and prepare datasets for modelling.

• Assist in building data pipelines for model training, evaluation, and reporting.

Predictive Modelling & Machine Learning

• Develop predictive models using statistical, machine-learning, and deep-learning techniques.

• Analyse behavioural and operational patterns to uncover insights and improve decision-making.

• Build and test real-time inference models for integration with applications and backend systems.

AI / ML Pipeline Development

• Implement end-to-end ML workflows in cloud environments (preferably AWS).

• Support model deployment, monitoring, and API integration with applications.

Optimisation & Mathematical Modelling

• Develop models for scoring, ranking, scheduling, and resource optimisation.

• Apply operations research methods to improve efficiency and balance supply-demand scenarios.

Analytics & Dashboard Support

• Build dashboards and automated analytics tools to visualise performance and trends.

• Provide timely insights based on data analysis and model outputs.

Model Governance & Monitoring

• Maintain proper versioning, documentation, and reproducibility of models.

• Monitor model drift, data drift, and performance degradation over time.

Required Skills & Qualifications

• Degree in Mathematics, Statistics, Applied Mathematics, Operations Research, Data Science, or related quantitative fields.

• Strong foundation in statistics, probability, optimisation, or mathematical modelling.

• 3–5 years of experience in data analysis, modelling, or related work

• Hands‑on experience with Python (pandas, NumPy, SciPy, scikit‑learn; PyTorch/TensorFlow a bonus).

• Familiarity with cloud platforms (AWS preferred) and ML workflow tools.

• Understanding of real‑time data processing and API‑based model deployment concepts.

• Excellent communication skills and ability to explain technical concepts simply.

• Curious, analytical, and eager to learn AI/ML techniques.