Data Scientist

As a Data Scientist, you will apply data science and Generative AI techniques to build models and products that support divisions across investment promotion, industry development, and corporate functions. You will work closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that produce measurable outcomes.

Your roles and responsibilities include:

• Partnering with business users to understand key priorities and use cases, and proposing and developing solutions using data science and/or Generative AI techniques to deliver business value

• Investigating emerging AI/data science methods and recommending relevant approaches for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)

• Data wrangling & analysis - including 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 enable AI model deployment and integration
• Creating frontend interfaces and user experiences for AI-powered applications
• Documenting updates to existing products
• Assessing and addressing 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 with 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)