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Data Scientist / Data Engineer

rapsys technologies pte ltd
Fresher
Singapore
Early Applicant
  • Posted 10 hours ago
  • Be among the first 10 applicants

Job Description

What We Are Looking For

  • A degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics or a related quantitative discipline, or equivalent practical experience.
  • Demonstrated experience using data science or machine learning to solve real-world problems, preferably involving natural language processing, generative AI, search or information retrieval.
  • 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.

The Following Would Be Advantageous

  • Experience with multilingual NLP, translation quality evaluation, or working with linguists and language reviewers.
  • Experience with cloud-based AI services, vector search, MLOps, production monitoring or responsible AI practices.

What You Will Be Working On

  • 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.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Science
Employment Type:
Full time

Job ID: 151849801

Last Updated: 01-08-2026 07:29:22 PM
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