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Data Scientist (EDB)
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
To perform this role, you must have/ be:
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;
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)
- 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)
Key Skills
Ranked by relevance
ai
machine learning
typescript
matplotlib
tableau
fastapi
python
pandas
react
flask
cloud
excel
git
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- Posted
- Apr 13, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Singapore
- Company
- AvePoint
Industries
Data Security Software Products
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-05-26
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Principal Platform Engineer
2026-05-14
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Principal Platform Engineer
2026-05-14
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