{"id":2596544,"url":"https://alion.io/job/lrqa-junior-data-scientist","title":"Junior Data Scientist","company":{"id":1756963,"name":"Lrqa","domain":"lrqa.com","url":"https://alion.io/company/lrqa-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"LLMOps","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-13T02:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-15T16:26:00Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job ID:44383\nLocation:LRQA - Hong Kong - Cambridge Hou\nPosition Category:Information Technology\nPosition Type:Employee Regular\nAbout EiQ\nEiQ 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.\nRole Purpose：\nWe 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.\nYou 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.\nKey Responsibilities:\nESG insights: Analyze structured and unstructured data to generate actionable insights on ESG and supply-chain risks across industries, markets, and geographies.\nData and AI solutions: Design, build, deploy, and monitor scalable data pipelines and machine learning solutions for ESG and supply-chain applications.\nData quality and governance: Prepare and integrate internal and external data, ensuring quality, reliability, security, privacy, and responsible AI practices.\nCloud delivery: Develop scalable, cloud-based data and AI solutions, preferably using Microsoft Azure, with AWS or Google Cloud experience also valued.\nProduct development: Contribute to the design and continuous improvement of data, analytics, and AI products and services.\nBusiness impact: Translate business and ESG challenges into clear analytical approaches, practical solutions, and measurable outcomes.\nCollaboration 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.\nWhat You’ll Bring:\nMaster’s degree in computer science, Data Science, Artificial Intelligence, Statistics, Engineering, or a closely related quantitative discipline.\nAt least one year of relevant professional experience in data science, machine learning, or a related field.\nStrong Python and SQL skills, including experience writing maintainable, testable, and reusable code.\nHands-on experience building data pipelines and working with data from ingestion and transformation through to curated data models or golden datasets.\nSolid understanding of machine learning methods and core statistical concepts, including model evaluation, sampling, experimentation, uncertainty, and causality.\nExperience working with structured and unstructured data, with practical knowledge of data preparation, feature engineering, and model development.\nHands-on experience with at least one major cloud platform: Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP). Azure experience is preferred.\nPractical understanding of generative AI and large language model solution patterns, including prompting, embeddings, vector search, RAG, evaluation, guardrails, and responsible AI.\nProfessional written and spoken English is required; Mandarin language capability is a plus.\nCritical thinking, attention to detail, a proactive and collaborative mindset, and the ability to deliver in a time-sensitive environment.\nPreferred Qualifications\nExperience with cloud data and AI services, data lakes or lakehouses, orchestration tools, distributed processing, APIs, containers, CI/CD, MLOps, or LLMOps.\nExperience with data modeling, metadata, lineage, data governance, observability, and automated data-quality testing.\nExperience developing production-grade document processing, NLP, or multimodal solutions.\nKnowledge of supply chains, sustainability, ESG, social compliance, risk management, or assurance services.\nExperience working directly with clients or cross-functional business stakeholders.\nWho are LRQA?\nLRQA is a leading global assurance partner, combining deep industry expertise with innovative solutions to help organizations manage risk, improve performance, and drive sustainable growth.\nOperating 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.\nWhat We Offer:\nJoin 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.\nPre-Employment Checks\nIf 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.\nThese 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.\nFor questions about the screening process, contact  , For queries regarding your personal data, contact \nAt LRQA, we belive that as a leading Global Leading Assurance and Risk Management Service provider, our talented people are our risk management advantage.\nWe belive the best outcomes come from diverse perspectives, shared ambition and working together with integrity. That's how we buid a workplace where everyone can contribute, grow and thrive.\nGuided by Vision and powered by Expertise, we're united by a shared purpose. If you're driven to make a difference, you'll belong here.\nAll rights reserved. Terms of use. 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