AI Researcher

JAC Recruitment Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

JAC Recruitment Pte Ltd represents a research and technology organization in Singapore seeking a data scientist to analyze structured and unstructured data, develop predictive models, and deliver insights to researchers and business teams.

You will work with Python, Pandas, NumPy, Scikit-learn, SQL, and build scalable data pipelines, conduct EDA and feature engineering, and design experiments. Fresh graduates are encouraged to apply.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline. Fresh graduates with strong technical foundations are encouraged to apply.
• Proficiency in Python and core data science libraries, including Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and Seaborn.
• Strong understanding of data wrangling, feature engineering, data normalization, missing data handling, and outlier detection.
• Solid mathematical foundations in linear algebra, calculus, optimization, probability.

Responsibilities

• Analyze structured and unstructured data to identify patterns, trends, and statistically significant insights that support research and business objectives.
• Develop and apply predictive models, including regression, classification, time-series forecasting, and other statistical or mathematical modeling techniques.
• Conduct exploratory data analysis (EDA), feature engineering, data quality assessment, and model validation using appropriate evaluation frameworks.
• Design and execute statistical experiments, including hypothesis testing, significance testing, and power analysis.
• Research, design, and develop AI agents powered by Large Language Models (LLMs) to automate and orchestrate analytical workflows.
• Integrate AI agents with databases, predictive models, and data pipelines to enable autonomous querying, reasoning, and interpretation of results.
• Evaluate agent performance across task completion, reasoning quality, tool utilization, hallucination rates, and failure handling.
• Build scalable data processing, machine learning, and visualization solutions using Python and related technologies.
• Query, manipulate, and analyze data from relational databases using SQL.
• Contribute to reproducible data pipelines, experiment tracking, code reviews, technical documentation, and research reporting.
• Present technical findings and recommendations to both technical and non-technical stakeholders.

Skills

Python

Data analysis

Statistical modeling

EDA

Communication

Education

Bachelor's degree in CS/Data Science/Math/Statistics

Fresh graduates welcome

Tools

Pandas

NumPy

SciKit-Learn

SciPy

Matplotlib

Seaborn

Job description

About the company

We are representing a research and technology organization focused on developing advanced analytical solutions that combine data science, machine learning, and artificial intelligence.

Responsibilities

• Analyze structured and unstructured data to identify patterns, trends, and statistically significant insights that support research and business objectives.

• Develop and apply predictive models, including regression, classification, time-series forecasting, and other statistical or mathematical modeling techniques.

• Conduct exploratory data analysis (EDA), feature engineering, data quality assessment, and model validation using appropriate evaluation frameworks.

• Design and execute statistical experiments, including hypothesis testing, significance testing, and power analysis.

• Research, design, and develop AI agents powered by Large Language Models (LLMs) to automate and orchestrate analytical workflows.

• Integrate AI agents with databases, predictive models, and data pipelines to enable autonomous querying, reasoning, and interpretation of results.

• Evaluate agent performance across task completion, reasoning quality, tool utilization, hallucination rates, and failure handling.

• Build scalable data processing, machine learning, and visualization solutions using Python and related technologies.

• Query, manipulate, and analyze data from relational databases using SQL.

• Contribute to reproducible data pipelines, experiment tracking, code reviews, technical documentation, and research reporting.

• Present technical findings and recommendations to both technical and non-technical stakeholders.

Requirements

• Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline. Fresh graduates with strong technical foundations are encouraged to apply.

• Proficiency in Python and core data science libraries, including Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and Seaborn.

• Strong understanding of data wrangling, feature engineering, data normalization, missing data handling, and outlier detection.

• Solid mathematical foundations in linear algebra, calculus, optimization, probability.

Working Location: Singapore