9 дней назад
Junior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior Data Scientist (AI) (Machine Learning, Generative AI, and Data Engineering): Building scalable data pipelines, machine learning solutions, and AI products for ESG and supply-chain intelligence with an accent on structured and unstructured data, cloud delivery, and trustworthy data products. Focus on developing production-ready models, LLM solutions, golden datasets, data governance, and measurable business insights.
Location: Hong Kong, Hong Kong
Company
is a global assurance and risk management partner providing certification, cybersecurity, inspection, training, and supply-chain intelligence services. The role supports EiQ, an AI-enabled data product for ESG and supply-chain insight.
What you will do
- Analyze structured and unstructured data to generate insights on ESG and supply-chain risks.
- Design, build, deploy, and monitor scalable data pipelines and machine learning solutions.
- Prepare and integrate internal and external data into reliable curated models and golden datasets.
- Develop cloud-based data and AI solutions, preferably with Microsoft Azure.
- Contribute to data, analytics, and AI product development and continuous improvement.
- Translate business and ESG challenges into analytical approaches, practical solutions, and measurable outcomes while communicating findings to stakeholders.
Requirements
- Master’s degree in computer science, data science, artificial intelligence, statistics, engineering, or a 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 maintainable, testable, and reusable code.
- Experience building data pipelines across ingestion, transformation, and curated data models.
- Knowledge of machine learning, statistics, model evaluation, sampling, experimentation, uncertainty, and causality.
- Professional written and spoken English is required. Experience with Azure, AWS, or GCP and practical knowledge of generative AI and large language model patterns are required.
Nice to have
- Mandarin language capability.
- Experience with data lakes, lakehouses, orchestration, distributed processing, APIs, containers, CI/CD, MLOps, or LLMOps.
- Experience with document processing, NLP, multimodal solutions, data governance, observability, or automated data-quality testing.
- Knowledge of supply chains, sustainability, ESG, social compliance, risk management, or assurance services.
- Experience working with clients or cross-functional business stakeholders.
Culture & Benefits
- Collaborative work environment within a global team.
- Professional development and growth opportunities.
- Flexible working arrangements where applicable.
- Market-aligned salary and comprehensive benefits package.
- Pre-employment checks may include identity, right-to-work, employment, education, and criminal-record verification where permitted by local law.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
13 дней назад
BRAIN Researcher (Quant Finance)
Akuna Capital
13 дней назад
Junior Quantitative Researcher (Deep Learning)
12 дней назад
Quantitative Researcher (Machine Learning)
13 дней назад
Operations Research Engineer Intern (AI)
14 дней назад
Director - Forecasting (Energy)
14 дней назад