Data Scientist

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 Bachelors 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 ) and RESTful API development and frontend technologies (e.g. React 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)