Urgent! Data Scientist (AI Enable-Products)

TRUST RECRUIT PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

5 days work week

Attractive remuneration & benefits

Career progression

CBD location

Job summary

TRUST RECRUIT PTE. LTD. is seeking a data science professional to translate user needs into robust NLP and AI solutions.

You will develop evaluation datasets, design experiments to improve model quality, and work with engineers to deploy reliable ML systems. The role requires strong Python, SQL and statistics skills, plus experience with multilingual NLP and regulated environments. The position offers a clear career path and CBD Singapore location, with a 5-day work week and competitive

Qualifications

• 4 years of experience as Data Scientist or Data Engineer in AI-enabled products
• Experience with multilingual NLP or translation quality evaluation
• Experience building AI-enabled products in regulated or high-assurance environments
• Strong Python and SQL, data processing, version control and software practices
• Statistics, experimental design, evaluation, sampling and model validation
• Experience with unstructured text and production ML systems
• Knowledge of embeddings, language models, prompt design and model evaluation
• Ability to write maintainable code and collaborate with engineers
• Excellent analytical, problem-solving and communication skills
• Proactive, collaborative mindset and willingness to improve public services through tech

Responsibilities

• Understand user needs and translate them into clear analytical and ML problems.
• Develop and maintain evaluation datasets for NLP and AI use cases.
• Design experiments to assess model quality, latency and cost.
• Explore models and techniques; recommend data-driven solutions.
• Perform systematic error analysis and prioritize improvements.
• Establish automated and human-evaluation approaches.
• Collaborate with engineers to productionize improvements.
• Ensure data, experiments and model decisions are reproducible and documented.
• Communicate findings and trade-offs clearly to stakeholders across the organization.

Skills

Python

SQL

Data Science

NLP

Machine Learning

Experiment Design

Statistics

Data Processing

Version Control

Production Deployment

Communication

Problem Solving

Education

Bachelor’s degree in CS/Data Science/AI or related

Tools

Git

Job description

Highlights

• 5 days work week, normal office working hour
• Great remuneration & benefits
• Great career progression
• Location: CBD

Key Responsibilities

• Work with policy and communications officers, product owners, engineers, domain experts and subject-matter specialists to understand user needs and translate them into clear analytical and machine-learning problems.
• Develop and maintain robust evaluation frameworks and datasets for natural language, generative AI and other machine-learning use cases.
• Design and conduct experiments to assess and improve model quality, accuracy, consistency, reliability, latency and cost.
• Explore and evaluate appropriate models, techniques and emerging technologies, recommending solutions based on evidence, user needs and operational considerations.
• Perform systematic error analysis, identify performance gaps across use cases and user segments, and prioritise improvements with the team.
• Establish suitable automated and human-evaluation approaches, recognising the limitations and risks of individual metrics and AI-assisted evaluation.
• Partner with engineers to integrate validated improvements, define quality checks and monitor performance in production.
• Ensure that data, experiments and model decisions are reproducible, well documented and aligned with responsible AI, privacy and security requirements.
• Communicate findings, trade-offs and recommendations clearly to technical and non-technical stakeholders across organization and the wider public service.

Requirements

• A degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics or a related quantitative discipline, or equivalent practical experience.
• With 4 years of experience in Data Scientist / Data Engineer in AI-enabled products are welcome.
• Demonstrated experience using data science or machine learning to solve real-world problems, preferably involving natural language processing, generative AI, search or information retrieval.
• Experience with multilingual NLP, translation quality evaluation, or working with linguists and language reviewers.
• Experience developing AI-enabled products in government, communications, regulated or other high-assurance environments.
• Strong programming skills in Python and working knowledge of SQL, data processing, version control and software-development practices.
• Sound understanding of statistics, experimental design, evaluation methodology, sampling, error analysis and model validation.
• Experience working with unstructured text or other complex data types, and evaluating machine-learning or generative AI systems beyond a single aggregate metric.
• Familiarity with modern NLP and AI concepts such as embeddings, language models, prompt design and model evaluation.
• Ability to write maintainable code and work with engineers to bring data-science solutions into production.
• Strong analytical, problem-solving and communication skills, with the ability to explain technical findings and trade-offs clearly to diverse audiences.
• A proactive and collaborative mindset, willingness to learn, and motivation to improve public services and communications through technology.