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Data Scientist

ITCAN PTE. LIMITED•PRUDENTIAL TOWER, 30 CECIL STREET, 049712, Singapore
Full-timeMid Level
S$6,000 - S$12,000/month
👁️ 0 views•📝 0 applications•Posted 11/4/2026•Expires 12/4/2026
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Job Description

Data Scientist JOB DESCRIPTION As a Data Scientist (Associate Consultant), you will use data science and Generative AI techniques to develop models and products that support a range of EDB divisions across investment promotion, industry development and corporate functions.

You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

Your roles and responsibilities include: Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.

g.

Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation) Data wrangling & analysis - preprocessing, cleaning and feature engineering Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots Developing backend APIs and services to support AI model deployment and integration Building frontend interfaces and user experiences for AI-powered applications Documenting changes to existing products Reviewing and implementing fixes for reported security vulnerabilities; JOB REQUIREMENTS To perform this role, you must have/ be: Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines; Able to understand and apply a range of AI/ML techniques for regression and classification Familiar with popular python packages ( e.

g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy ) Understanding of LLM concepts (e. g. context windows, embeddings, chunking, token management) and architectures (e. g. RAG) Experience with context engineering techniques and prompt optimizatio

Required Skills

Data ScienceMachine LearningPandasPython

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