Data Scientist (ML, NLP, GenAI, Statistics)

Data Scientist – NLP / Generative AI Role Overview We are looking for a Data Scientist to develop, evaluate, and improve NLP, Generative AI, and Machine Learning solutions . You will work with product, engineering, and business teams to translate user needs into data-driven solutions and ensure models are reliable, scalable, and suitable for production. Key Responsibilities • Develop and evaluate NLP, Generative AI, and Machine Learning models for real-world use cases. • Build evaluation frameworks and datasets to measure model accuracy, quality, reliability, latency, and cost . • Conduct experiments, model validation, and error analysis to identify performance gaps and recommend improvements. • Evaluate and apply appropriate AI models, techniques, embeddings, language models, and prompt strategies . • Work with engineers to integrate validated models and improvements into production environments. • Monitor model performance and establish appropriate automated and human evaluation methods . • Ensure experiments, datasets, and model decisions are properly documented and aligned with Responsible AI, privacy, and security requirements . • Present technical findings and recommendations clearly to both technical and non-technical stakeholders. Requirements • Degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics , or a related quantitative discipline, or equivalent practical experience. • Hands-on experience in Data Science / Machine Learning , preferably involving NLP, Generative AI, Search, or Information Retrieval . • Strong programming skills in Python , with working knowledge of SQL, data processing, version control, and software development practices . • Good understanding of statistics, experimental design, model evaluation, validation, sampling, and error analysis . • Experience working with unstructured text data and evaluating ML/Generative AI systems. • Familiarity with embeddings, language models, prompt design, and model evaluation . • Ability to develop maintainable code and collaborate with engineers to deploy solutions into production. • Strong analytical, problem-solving, communication, and stakeholder management skills. Good to Have • Experience with multilingual NLP, translation evaluation, or multilingual datasets . • Knowledge of Chinese, Malay, or Tamil and Singapore's multilingual communications environment. • Exposure to cloud AI services, vector search, MLOps, production monitoring, and Responsible AI . • Experience delivering AI solutions within government, regulated, communications, or high-assurance environments . Key Skills Python | SQL | Machine Learning | Generative AI | NLP | LLMs | Embeddings | Prompt Design | Model Evaluation | Information Retrieval | Vector Search | MLOps