Data Scientist (Generative AI)
Ambition WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Our client is a global insurance and financial services organisation undergoing significant digital acceleration and expansion. With a strong global footprint and long-established market presence, the company is now heavily investing in data, analytics, and AI-driven capabilities to modernise its operations and elevate customer experience.
Key Responsibilities
- Develop, fine‑tune, and deploy Large Language Models (LLMs) and agentic AI systems for automation, knowledge extraction, summarisation, and conversational intelligence.
- Execute analytical experiments and design advanced ML pipelines that leverage structured and unstructured data.
- Identify, gather, and process large datasets; perform data cleaning, validation, and statistical analysis to improve model accuracy.
- Build and optimise algorithms for predictive modelling, natural language processing, and generative AI use cases.
- Work with engineering teams to productionise models and integrate them into existing systems using cloud AI platforms (Azure Cognitive Services, Azure ML, Azure Bot Services).
- Analyse trends, patterns, and business signals, and communicate insights through well‑designed dashboards and storytelling using Power BI .
Requirements
3+ years’ experience in data science, applied machine learning, or AI engineering.Proven hands‑on expertise in LLMs , Generative AI , and frameworks such as Hugging Face Transformers, LangChain, or OpenAI APIs.Familiarity with agentic AI frameworks (AutoGPT, BabyAGI, CrewAI) is highly desirable.Strong analytical foundation in predictive modelling, deep learning, NLP, statistics, and data mining.Proficiency in Python , SQL, and optional experience with R, Scala, or Java.Hands‑on experience developing and presenting data insights using Power BI (or equivalent BI tool).Experience with cloud and big‑data platforms (Azure, AWS, Hadoop, RDBMS).Strong problem‑solving aptitude, business acumen, and ability to break down complex technical ideas for business stakeholders.Seniority Level
Associate
Employment Type
Full‑time
Job Function
Information Technology
Industries
Staffing & Recruiting, Financial Services
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