M

Data Scientist (3 year exp, Gen AI, Top-Tier Finance)

salary Salary :

$35,000 - 600,000 monthly

icon building Company : Michael Page
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Number of Applicants

 : 

000+

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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.
Original job Data Scientist (3 year exp, Gen AI, Top-Tier Finance) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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