AI Researcher (Data Science & LLMs)

JOB RESPONSIBILITIES ·        Analyse structured datasets to identify trends, patterns, and insights that support research and business decisions. ·        Conduct exploratory data analysis (EDA), statistical testing, and model validation to ensure data quality and reliable outcomes. ·        Develop and apply predictive and mathematical models, including regression, classification, and time series forecasting. ·        Design, build, and evaluate AI agents using LLM-based frameworks to automate research workflows and interact with databases, data pipelines, and predictive models. ·        Assess AI agent performance across task completion, reasoning quality, tool usage accuracy, and reliability. ·        Develop clean, well-documented Python code for data processing, feature engineering, machine learning, and visualisation. ·        Query, transform, and manage structured data using SQL and data science tools such as Pandas, NumPy, Scikit-learn, and data visualisation libraries. ·        Contribute to shared codebases, version control practices, reproducible data pipelines, and experiment tracking frameworks. ·        Collaborate with researchers and stakeholders to deliver projects, communicate technical findings, and present insights to both technical and non-technical audiences. JOB REQUIREMENTS ·        Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, or a related quantitative discipline. ·        Fresh graduates are encouraged to apply; relevant internships, research projects, competitions, or open-source contributions are advantageous. ·        Strong Python programming skills with experience in data science libraries such as Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, and Seaborn. ·        Hands-on experience in data preparation, feature engineering, outlier detection, missing data handling, and model development. ·        Solid foundation in statistics, machine learning, linear algebra, calculus, optimisation, and predictive modelling techniques. ·        Knowledge of supervised, unsupervised, generative AI, and LLM-based applications or agent frameworks. ·        Experience working with SQL, relational databases, and structured datasets. ·        Strong analytical thinking, problem-solving skills, and the ability to communicate technical concepts effectively to diverse audiences. Working Location: Singapore Syahirah Binte Ahmad Ja'afar (R22105331) JAC Recruitment Pte. Ltd. (90C3026)