Data Scientist / Data Analyst

ITCAN PTE. LIMITED; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

ITCAN PTE. LIMITED is seeking a Data Scientist (Associate Consultant) to apply data science and Generative AI techniques to create models and products for multiple divisions within EDB.

You will partner with stakeholders to translate requirements into technical solutions and deliver AI/ML products that drive measurable outcomes. Responsibilities include data wrangling, model deployment, API development, and frontend interfaces for AI-powered applications, with a focus on security and

Qualifications

• Bachelor’s degree in CS/CE/ML/DS/AI or related field.
• Ability to apply AI/ML techniques for regression and classification.
• Proficiency with Python data science stack (pandas, scikit-learn, XGBoost, NLTK, spaCy).
• Understanding of LLM concepts and architectures (RAG).
• Experience with context engineering and prompt optimization.
• Proficient in Git and SQL.
• Proficient in BI tools (Tableau, Power BI, MicroStrategy).
• Proficient in modern programming languages (TypeScript, C#).
• Experience with AWS, Docker and Kubernetes.
• Experience with web frameworks (FastAPI/Flask/Express.js) and front-end tech (React, Vue.js, HTML/CSS, TypeScript).
• Experience with LLM frameworks (LangChain, LlamaIndex, Transformers).
• Knowledge of vector databases (Pinecone, Chroma, FAISS).
• Familiarity with AI agent frameworks and multi-agent systems.
• Strong presentation skills and ability to explain technical concepts to non-technical audiences.
• Proficiency in statistical software tools (R, SAS).

Responsibilities

• Collaborate with business users to understand priorities and use cases; propose and develop AI/data science solutions.
• Research and evaluate emerging AI/Data Science techniques for deployment.
• Data wrangling, preprocessing, cleaning and feature engineering.
• Support daily operations and maintenance of deployed models and products.
• Develop backend APIs and services for AI model deployment and integration.
• Build frontend interfaces for AI-powered applications.
• Document changes and maintain code and model documentation.
• Review and fix security vulnerabilities in AI products.

Skills

Strong presentation skills

Explain technical concepts clearly

Communicate to non-technical audience

Education

Bachelor's degree in CS/CE/ML/DS/AI

Tools

Python

Pandas

Scikit-learn

XGBoost

NLTK

spaCy

Git

SQL

Tableau

Power BI

MicroStrategy

TypeScript

C#

AWS

Docker

Kubernetes

FastAPI

Flask

Express.js

React

Vue.js

HTML/CSS

LangChain

LlamaIndex

Transformers

Pinecone

Chroma

FAISS

Job description

Data Scientist

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

• 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 optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)
• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)