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