AI Researcher (Statistical Modelling)

Overview

We are looking for an AI Researcher to join our R&D team, focusing on statistical modelling, predictive analytics, machine learning, and applied AI development. The role involves developing rigorous analytical models and exploring LLM-powered AI agents to solve real-world research problems.

Responsibilities

• Develop and evaluate predictive models, including regression, classification, time-series forecasting, and mathematical models.
• Conduct statistical analysis and experimentation, including EDA, hypothesis testing, power analysis, significance testing, and model validation.
• Perform data wrangling, feature engineering, outlier detection, and analysis of structured datasets.
• Research and develop LLM-powered AI agents capable of reasoning, querying data, and invoking predictive models or analytical tools.
• Build reproducible Python-based ML pipelines and evaluate model performance and limitations.
• Communicate research findings clearly to technical and non-technical stakeholders.

Requirements

• Master's or PhD in Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science or a related quantitative discipline preferred
• Strong hands-on experience in predictive modelling: regression, classification and/or time-series forecasting.
• Strong foundation in statistical modelling and experimental analysis.
• Proficient in Python, Pandas, NumPy, Scikit-learn and SciPy, with good data manipulation and feature-engineering skills.
• Good understanding of supervised, unsupervised and generative machine-learning models.
• Exposure to LLMs, AI agents, Generative AI or agentic frameworks is advantageous.
• Strong research methodology, analytical thinking, model evaluation and experimentation skills.