Data Scientist - Contract

3 CUBED BUSINESS CONSULTING PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

3 CUBED BUSINESS CONSULTING PTE. LTD. is seeking a Data Scientist (Associate Consultant) to apply data science and Generative AI techniques to develop models and products for EDB divisions in Singapore.

You will partner with stakeholders to translate business needs into technical solutions and deliver AI-driven outcomes. You will collaborate with business users on priorities, research emerging AI techniques, handle data wrangling, deploy models, build APIs and interfaces, and document changes

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, ML/DS/AI or related discipline.
• Able to apply AI/ML techniques for regression and classification.
• Familiar with Python packages (pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy).
• Understanding of LLM concepts (context windows, embeddings, chunking, token management) and architectures (RAG).
• Experience with context engineering and prompt optimization strategies.
• Proficient in Git and SQL.
• Proficient in BI tools (Tableau, Qlik, Power BI, MicroStrategy).

Responsibilities

• Collaborate with business users to understand priorities and use cases; propose AI/ML solutions to drive value.
• Research emerging AI/data science techniques for adoption (Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation).
• Data wrangling, preprocessing, cleaning and feature engineering.
• Support daily operations and maintenance of deployed data science models and products (Assistants on PAIR / AIBots).
• Develop backend APIs and services to support AI model deployment and integration.
• Build frontend interfaces and user experiences for AI-powered applications.
• Document changes to existing products.
• Review and implement fixes for reported security vulnerabilities.

Skills

AI/ML techniques

GenAI concepts

Data wrangling

Feature engineering

Prompt optimization

Git

SQL

BI tooling

Education

Bachelor’s degree in Computer Science / Computer Engineering / ML / Data Science / AI or related disciplines

Tools

Python packages: pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy

Git

SQL

Tableau / Qlik / Power BI / MicroStrategy

Docker / Kubernetes

Frontend: React / Vue.js / HTML/CSS / TypeScript

FastAPI / Flask / Express.js

Job description

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 optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets which will allow you to excel in this role include:

• 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)