Data Scientist

We are looking for a talented

Data Scientist

to join a growing team within a global technology organisation, helping shape the future of

AI quality operations

. This role sits at the intersection of

LLM / 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 by

millions of users globally

, where data integrity and model reliability are critical.

About the Role

You will be responsible for

validating 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 apply

statistical methods, automation, and engineering best practices

to strengthen AI quality processes.

Key Responsibilities

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

Key Requirements

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

Preferred Skills

Experience with

LLM / agentic AI frameworks

(e.g. RAG pipelines, embeddings, evaluation techniques)

Experience building

self-serve tools, dashboards, or internal platforms

(e.g. Flask, Streamlit, Tableau, Power BI)

Exposure to

advanced statistical models or machine learning techniques

Experience working within

large-scale, service-oriented or high-volume data environments

Strong problem-solving skills with a focus on

scalability and risk mitigation

Why Join Us

Work at the forefront of

AI validation, LLM quality, and data reliability

Build

airtight, scalable systems

that directly impact products used by millions

Join a

fast-moving, high-impact team

spanning 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