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Researcher (Data Science & AI)

salary Salary :

$6,000 - 8,000 monthly

icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Researcher (Data Science & AI)

Overview
We are looking for an AI Researcher to join the R&D team to work on applied AI, statistical modelling, predictive systems, and LLM-powered agent development. This role focuses on building intelligent analytical systems that combine machine learning, structured data processing, and AI agents to solve real-world research and business problems.

Responsibilities

  • Conduct exploratory data analysis (EDA), statistical modelling, and predictive analytics using structured and unstructured datasets.
  • Design, develop, and evaluate machine learning models including regression, classification, and forecasting models.
  • Build and develop AI agents powered by LLMs to automate research workflows and analytical tasks.
  • Integrate AI agents with databases, predictive models, and data pipelines for end-to-end reasoning and orchestration.
  • Evaluate AI agent performance including reasoning quality, tool usage accuracy, hallucination handling, and task completion.
  • Develop clean, scalable, and well-documented Python code for data processing, feature engineering, modelling, and visualisation.
  • Query and manipulate structured datasets using SQL.
  • Contribute to shared codebases, experiment tracking, and reproducible AI/data science workflows.
  • Present technical findings and research insights clearly to both technical and non-technical stakeholders.
  • Participate in research reviews, peer code reviews, and collaborative knowledge-sharing sessions.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Statistics, Engineering, Data Science, or related quantitative disciplines.
  • Strong foundation in Python programming and data science libraries such as Pandas, NumPy, Scikit-learn, SciPy, and Matplotlib.
  • Knowledge of statistical modelling, machine learning, and mathematical concepts including linear algebra, calculus, and optimisation.
  • Hands-on experience with data wrangling, feature engineering, handling missing data, and structured datasets.
  • Familiarity with supervised, unsupervised, and generative AI models.
  • Exposure to LLMs, AI agents, or agentic AI frameworks is advantageous.
  • Experience with SQL and relational databases..
  • Fresh graduates with internships, research projects, Kaggle competitions, or open-source contributions are welcome to apply
Original job Researcher (Data Science & AI) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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About the Company

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.

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