Job Description - Data Scientist GenAI, Global Markets
Key responsibilities:
As a Data Scientist, you will build and deploy secure AI solutions, apply MLOps practices, and collaborate to align AI initiatives with business goals.
Partner with business stakeholders to identify AI opportunities and translate requirements into data-driven solutions
Evaluate feasibility, risks, and business value of AI initiatives, including proof-of-concept development
Design, build, and deploy machine learning and Generative AI models across multiple use cases
Contribute to enterprise AI initiatives and support the development of the organisation's data science ecosystem
Research emerging AI technologies and industry best practices to inform AI strategy and innovation
Support AI governance, risk, and compliance frameworks to ensure responsible and secure AI adoption
Prepare clear reports, insights, and presentations for stakeholders across all levels
Candidate profile:
To excel in this role, you bring strong AI/ML and software engineering expertise, proficiency in Python/Java, LLM workflows, APIs, databases, AWS (SageMaker, Bedrock), Docker, Kubernetes, and MLOps, with strong collaboration skills and a continuous learning mindset.
Bachelor's degree or above in AI, Computer Science, Statistics, Mathematics, or related field
5-12 years' experience in AI/ML or related roles
Strong knowledge of machine learning, deep learning, NLP, and Generative AI
Proficiency in Python and common AI/ML frameworks and tools
Experience in banking, financial services, or fintech is highly preferred
Familiarity with data visualisation tools (e.g. Tableau) is a plus
Strong analytical, problem-solving, communication, and presentation skills
Fluent in English and Chinese (including Putonghua)
About the company:
A leading financial services organisation in Asia delivers secure, innovative banking solutions with a strong focus on digital transformation, collaboration, and long-term career growth in data and AI.
Keywords: data science, generative AI, AI solutions, MLOps, AWS, Python, financial services
What's next:
Shape the future of AI in finance. Apply now and make an impact!
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