Junior Data Scientist — AI, ESG Insights & Pipelines

Nettitude Group; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Benefits offered by this job

Comprehensive benefits package

Competitive salary aligned with market

Flexible working arrangements where at

Applicable flexible working

Job summary

LRQA is seeking a Junior Data Scientist to join our information technology and digital portfolio team in Hong Kong. The role focuses on end-to-end data lifecycle work—from unstructured sources to trusted datasets, intelligent models, and production-ready data products.

You will build ESG and supply-chain analytics, design scalable data pipelines, and apply generative AI methods, with a strong emphasis on data quality, governance, and responsible AI practices.

Qualifications

• Master’s degree or equivalent in a quantitative field.
• At least 1 year experience in data science or ML.
• Strong Python and SQL skills with maintainable code.
• Experience building data pipelines from ingestion to curated datasets.
• Solid understanding of ML methods, statistics, and experimentation.
• Experience with structured and unstructured data.
• Hands-on cloud experience; Azure preferred.
• Knowledge of generative AI and LLM patterns.
• Proficient English; Mandarin a plus.

Responsibilities

• ESG insights: Analyze structured and unstructured data for ESG and supply-chain risks.
• Design, build, deploy, and monitor scalable data pipelines and ML solutions.
• Data quality, governance, security, privacy, and responsible AI practices.

Skills

Python

SQL

Data pipelines

Cloud platforms

Generative AI

English communication

Education

Master’s degree in Computer Science/Data Science/AI/Statistics/Engineering

Tools

Azure

AWS

GCP

Job description

LRQA is seeking a Junior Data Scientist to join our information technology and digital portfolio team in Hong Kong. The role focuses on end-to-end data lifecycle work—from unstructured sources to trusted datasets, intelligent models, and production-ready data products.

You will build ESG and supply-chain analytics, design scalable data pipelines, and apply generative AI methods, with a strong emphasis on data quality, governance, and responsible AI practices.