Job Description - Data Scientist (3 year exp, Gen AI, Top-Tier Finance)
1 year renewable contract w/ permanent conversion
ML Ops, AI for Financial Risk Project
About Our Client
This organization is a prominent entity within the public sector (Finance regulatory), known for its focus on delivering valuable services and insights to the community. As a large organization, it fosters a collaborative and professional working environment, supporting impactful projects that influence the region.
Job Description
Develop and fine-tune Generative AI and LLM-based solutions (e.g., RAG systems, text analytics, domain-specific copilots) to support research and operational workflows.
Conduct data science research leveraging granular, alternative, and unstructured data to improve risk monitoring and surveillance capabilities.
Maintain, enhance, and monitor internal AI-powered platforms and web portals-including LLM tools, chatbots, and intelligent knowledge systems.
Build and optimise end-to-end data and model pipelines, including data ingestion, feature engineering, evaluation, and deployment.
Collaborate with engineers to automate dashboards, improve database workflows, and operationalise machine learning models using MLOps/LLMOps best practices.
Experiment with emerging foundation models, GenAI frameworks, and vector database technologies to evaluate their applicability in research and analytics.
The Successful Applicant
Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or related fields.
Minimum 3 years of experience in data science, data engineering, or machine learning.
Strong proficiency in Python, SQL, and Tableau.
Experience working with Generative AI / LLM technologies (e.g., Transformers, RAG, embeddings, NLP libraries such as Hugging Face or spaCy).
Hands-on experience with Docker and Kubernetes for containerisation and deployment.
Understanding of DevOps and orchestration tools such as Git, Terraform, Jenkins, and Apache Airflow.
Solid understanding of cross-system integration and full data pipeline development.
Knowledge of ML algorithms, MLOps concepts, and big data processing frameworks is a plus.
Highly motivated, with strong communication, analytical, and problem-solving skills.
Good command of written and spoken English and Chinese.
What's on Offer
Competitive salary
Collaborative and professional work environment within a large organization.
Access to cutting-edge tools and technologies in the field of data analytics.
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