Data Scientist

ALLEGIS GROUP SINGAPORE PRIVATE LIMITED; Singapore; Vor Ort; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

Allegis Group Singapore Private Limited is seeking a Data Scientist to join a growing global technology team focused on AI quality operations. You will validate and improve outputs from LLM and ML models, building scalable data quality systems and dashboards to monitor performance.

The role interfaces with data engineering, product, and operations to ensure reliable datasets and workflows. The ideal candidate has strong statistics, Python (Pandas, NumPy, Scikit-learn), SQL, and experience

Qualifikationen

• Proven experience as a Data Scientist with strong foundations in statistics and data analysis.
• Hands-on experience working with or validating LLM / ML models in production environments.
• Strong proficiency in Python (e.g. Pandas, NumPy, Scikit-learn) and SQL.
• Experience applying statistical methods for validation, experimentation, or anomaly detection.
• Demonstrated ability to build tools, automation workflows, or data pipelines.
• Solid understanding of data quality, risk identification, and validation methodologies.

Aufgaben

• Audit and validate AI/LLM model outputs to ensure accuracy, consistency, and relevance.
• Design and implement data quality metrics, sampling strategies, and audit frameworks.
• Perform statistical analysis and anomaly detection to identify risks and improve output quality.
• Build and enhance automation tools, dashboards, and self-serve platforms for quality monitoring.
• Develop Python-based solutions to process, evaluate, and improve data reliability.
• Collaborate with data engineering, product, and operations teams to ensure high-quality datasets and workflows.
• Identify risks, propose action plans, and continuously improve quality control processes.
• Contribute to building scalable systems for large-scale AI validation and monitoring.

Kenntnisse

Data Science

Statistics

Python

SQL

ML/LLM validation

Tools

Pandas

NumPy

Scikit-learn

Tableau

Jobbeschreibung

We are looking for a talentedData Scientistto join a growing team within a global technology organisation, helping shape the future ofAI quality operations. This role sits at the intersection ofLLM / AI, data science, and quality engineering, ensuring that AI systems deliver reliable, accurate, and high-quality outputs at scale.

This is a high-impact role supporting systems used bymillions of users globally, where data integrity and model reliability are critical.

About the Role

You will be responsible forvalidating and improving outputs from LLM and machine learning models, while building scalable systems to ensure data quality and model reliability. Working closely with cross-functional teams, you will applystatistical methods, automation, and engineering best practicesto strengthen AI quality processes.

Key Responsibilities

• Audit and validate AI/LLM model outputs to ensure accuracy, consistency, and relevance
• Design and implementdata quality metrics, sampling strategies, and audit frameworks
• Performstatistical analysis and anomaly detectionto identify risks and improve output quality
• Build and enhanceautomation tools, dashboards, and self-serve platformsfor quality monitoring
• DevelopPython-based solutionsto process, evaluate, and improve data reliability
• Collaborate with data engineering, product, and operations teams to ensure high-quality datasets and workflows
• Identify risks, propose action plans, and continuously improve quality control processes
• Contribute to buildingscalable systems for large-scale AI validation and monitoring

Key Requirements

• Proven experience as aData Scientistwith strong foundations in statistics and data analysis
• Hands-on experience working with or validating LLM / ML models in production environments
• Strong proficiency inPython (e.g. Pandas, NumPy, Scikit-learn)andSQL
• Experience applyingstatistical methodsfor validation, experimentation, or anomaly detection
• Demonstrated ability to buildtools, automation workflows, or data pipelines
• Solid understanding ofdata quality, risk identification, and validation methodologies

Preferred Skills

• Experience withLLM / agentic AI frameworks(e.g. RAG pipelines, embeddings, evaluation techniques)
• Experience buildingself-serve tools, dashboards, or internal platforms(e.g. Flask, Streamlit, Tableau, Power BI)
• Exposure toadvanced statistical models or machine learning techniques
• Experience working withinlarge-scale, service-oriented or high-volume data environments
• Strong problem-solving skills with a focus onscalability and risk mitigation

Why Join Us?

• Work at the forefront ofAI validation, LLM quality, and data reliability
• Buildairtight, scalable systemsthat directly impact products used by millions
• Join afast-moving, high-impact teamspanning data science, AI, and engineering
• Collaborate with global stakeholders across data, search, and AI domains

We regret to inform that only shortlisted candidates will be notified.

EA Registration No.:R2414837, Garey Gan Chia Wen

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544