Junior Data Scientist

LRQA; Hong Kong Island; On-site; HKD 260,000 - 420,000; Full time

Benefits offered by this job

Flexible working arrangements

Job summary

LRQA is seeking a Junior Data Scientist to work on EiQ, our flagship supply chain intelligence platform. You will handle full data lifecycles from raw sources to trusted datasets and production-ready AI products, applying ML, generative AI, and data engineering skills.

You will collaborate with consulting, assessment, product, and technology teams to deliver end‑to‑end solutions, translating ESG challenges into actionable analytics and measurable outcomes. Mandarin is a plus.

Qualifications

• Master’s degree in computer science, Data Science, AI, Statistics, Engineering, or related quantitative field.
• At least 1 year of relevant experience in data science or ML.
• Strong Python and SQL skills, writing maintainable code.
• Experience building data pipelines from ingestion to curated datasets.
• Solid understanding of ML methods, statistics, and experimental design.
• Experience with structured and unstructured data and feature engineering.
• Hands-on cloud experience with Azure, AWS, or GCP; Azure preferred.
• Knowledge of generative AI, LLMs, prompting, embeddings, and RAG.

Responsibilities

• Analyze ESG and supply-chain data to generate actionable insights.
• Design, build, deploy, and monitor scalable data pipelines and ML solutions.
• Ensure data quality, governance, privacy, and responsible AI practices.
• Develop cloud-based data/AI solutions, preferably on Azure; other clouds valued.
• Contribute to data/AI product design and continuous improvement.
• Translate business/ESG challenges into analytical approaches and measurable outcomes.
• Collaborate with cross-functional teams to deliver end-to-end solutions and communicate findings clearly.

Skills

Python

SQL

Data pipelines

Machine learning

Generative AI

Cloud platforms

English communication

Critical thinking

Collaboration

Education

Master's degree

Tools

Azure

AWS

GCP

Job description

EiQ is LRQA’s flagship supply chain intelligence platform and is entering a major growth phase as it evolves into a scalable, AI-enabled data product. With ambitious growth targets and increasing adoption by global clients, EiQ is a core strategic asset within LRQA’s digital portfolio, powering client insight, transparency, and risk‑based decision‑making across complex supply chains.

We are looking for a Junior Data Scientist with strong foundations in machine learning, generative AI, and data engineering. This is not a traditional front‑end analytics role focused mainly on dashboards or pre-existing structured tables. You will work across the full data lifecycle, from raw and often unstructured sources to trusted, reusable “golden” datasets, intelligent models, and production‑ready data products.

You will thrive in this role if you are curious about data, believe in data‑driven decision‑making, respect the power and limitations of data, and enjoy finding valuable signals hidden in complex information. You will investigate sources, challenge assumptions, understand limitations, and build the path from raw data to trustworthy insights and intelligent action.

Key Responsibilities

• ESG insights: Analyze structured and unstructured data to generate actionable insights on ESG and supply‑chain risks across industries, markets, and geographies.
• Data and AI solutions: Design, build, deploy, and monitor scalable data pipelines and machine learning solutions for ESG and supply‑chain applications.
• Data quality and governance: Prepare and integrate internal and external data, ensuring quality, reliability, security, privacy, and responsible AI practices.
• Cloud delivery: Develop scalable, cloud‑based data and AI solutions, preferably using Microsoft Azure, with AWS or Google Cloud experience also valued.
• Product development: Contribute to the design and continuous improvement of data, analytics, and AI products and services.
• Business impact: Translate business and ESG challenges into clear analytical approaches, practical solutions, and measurable outcomes.
• Collaboration and communication: Work with consulting, assessment, product, and technology teams to deliver end‑to‑end solutions and communicate findings clearly to clients and internal stakeholders.

What You’ll Bring

• Master’s degree in computer science, Data Science, Artificial Intelligence, Statistics, Engineering, or a closely related quantitative discipline.
• At least one year of relevant professional experience in data science, machine learning, or a related field.
• Strong Python and SQL skills, including experience writing maintainable, testable, and reusable code.
• Hands‑on experience building data pipelines and working with data from ingestion and transformation through to curated data models or golden datasets.
• Solid understanding of machine learning methods and core statistical concepts, including model evaluation, sampling, experimentation, uncertainty, and causality.
• Experience working with structured and unstructured data, with practical knowledge of data preparation, feature engineering, and model development.
• Hands‑on experience with at least one major cloud platform: Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP). Azure experience is preferred.
• Practical understanding of generative AI and large language model solution patterns, including prompting, embeddings, vector search, RAG, evaluation, guardrails, and responsible AI.
• Professional written and spoken English is required; Mandarin language capability is a plus.
• Critical thinking, attention to detail, a proactive and collaborative mindset, and the ability to deliver in a time‑sensitive environment.

Preferred Qualifications

• Experience with cloud data and AI services, data lakes or lakehouses, orchestration tools, distributed processing, APIs, containers, CI/CD, MLOps, or LLMOps.
• Experience with data modeling, metadata, lineage, data governance, observability, and automated data‑quality testing.
• Knowledge of supply chains, sustainability, ESG, social compliance, risk management, or assurance services.
• Experience working directly with clients or cross‑functional business stakeholders.

Who are LRQA?

LRQA is a leading global assurance partner, combining deep industry expertise with innovative solutions to help organizations manage risk, improve performance, and drive sustainable growth.

Operating in over 50 countries with a team of 2,500+ professionals, we support more than 60,000 clients worldwide through assurance, certification, cybersecurity, inspection, and training services. Our purpose is simple: to help businesses build a safer, more secure, and more sustainable future.

What We Offer

Join a global team where your expertise is valued and your development is supported. We offer a collaborative work environment, opportunities for professional growth, flexible working arrangements where applicable, a competitive salary aligned with the market, and a comprehensive benefits package.

Pre-Employment Checks

If you are successful in securing a role with us, we may carry out pre-employment checks, as permitted by local law, including verification of identity, right to work, employment history, education, and criminal records where applicable.

These checks are conducted by our trusted screening partner, Cfirst, in compliance with applicable data protection laws. Any personal data collected will be used solely for recruitment purposes, stored securely, and retained only as required.