Location: Bangkok, Thailand
Rank: Senior
Job description
KPMG Thailand is expanding our Data & AI consulting capability to help clients across Financial Services and adjacent sectors accelerate measurable value from AI/ML and Generative AI. We are seeking a Senior Data Scientist/AI Engineer who can lead end-to-end delivery—from discovery and roadmap through PoC, MVP, and production. You will collaborate closely with client stakeholders, engineers, and domain experts to design secure, compliant, production-ready solutions that enable digital transformation.
Roles and responsibilities
- Support workshops to understand business goals, constraints, and data landscapes; translate them into prioritized AI use cases and a phased delivery plan (PoC → MVP → Production).
- Support the design of solution architecture, effort estimation, and clearly articulate technical and business value during proposal development.
- Collaborate with cross-functional teams to understand business challenges and translate them into actionable analytical solutions.
- Implement, and deploy machine learning models across various domains, covering both Traditional and Generative AI use cases.
- Rapidly prototype and validate ML/GenAI solutions (e.g., classification, forecasting, NLP, RAG, summarization, document intelligence, agentic workflow).
- Develop robust, maintainable, and production-ready machine learning workflows, with a focus on MLOps practices.
Qualifications and Skills
- Bachelor’s degree in STEM fields (e.g., Engineering, Computer Science, Statistics, Mathematics, Economics, or related disciplines).
- Hands-on experience delivering ML/AI solutions; consulting/client-facing experience preferred.
- Proven hands-on experience with Python and SQL for data analysis and model development; familiarity with cloud platforms for scalable analytics solutions.
- Practical experience across the AI/ML lifecycle: data preparation, modeling, evaluation, deployment, and monitoring.
- Ability to translate complex analytical insights into clear, actionable business recommendations for diverse stakeholders.
- Good to have certifications
- AI / Data Science Specific e.g., Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate
- Cloud & Data Platforms e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist Associate
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