Overview

We are seeking a Senior Data Scientist to lead AI-driven initiatives delivering machine learning and Generative AI solutions within Capital Markets.

Responsibilities

• Design, develop, and deploy machine learning models for forecasting, classification, and anomaly/fraud detection
• Architect and implement Generative AI solutions, including RAG pipelines, prompt engineering, embeddings, and vector databases
• Build scalable AI applications leveraging LLM APIs, orchestration frameworks, and agent-based systems
• Develop modular, production-ready Python applications following robust software engineering practices (SOLID principles)
• Deploy, monitor, and optimise models using MLOps practices on platforms such as Azure, AWS, and Databricks
• Analyse large, complex datasets to derive actionable business insights
• Collaborate with cross-functional teams and effectively communicate outcomes to technical and business stakeholders

Qualifications

• Strong expertise in machine learning, statistical modelling, and data science techniques
• Hands-on experience with Generative AI, including LLMs, RAG, prompt engineering, and vector databases
• Practical experience with AI/LLM frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar
• Solid understanding of anomaly detection techniques (e.g. Autoencoders, XGBoost, Isolation Forest)
• Proficiency in Python and SQL, with ability to develop complex, modular, and maintainable applications
• Strong understanding of software engineering principles, including SOLID design principles
• Good understanding of Capital Markets domain and fraud detection use cases
• 6+ years of experience in Data Science, Machine Learning, or AI-related roles
• Bachelor’s degree required.
• Strong analytical thinking and problem-solving skills
• Clear and effective communication with both technical and non-technical stakeholders
• Delivery-focused with a pragmatic, cost-conscious mindset
• Ability to work independently and collaboratively in cross-functional teams
• Strong expertise in machine learning, statistical modelling, and data science techniques
• Hands-on experience with Generative AI, including LLMs, RAG, prompt engineering, and vector databases
• Practical experience with AI/LLM frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar
• Solid understanding of anomaly detection techniques (e.g. Autoencoders, XGBoost, Isolation Forest)
• Proficiency in Python and SQL, with ability to develop complex, modular, and maintainable applications
• Strong understanding of software engineering principles, including SOLID design principles
• Good understanding of Capital Markets domain and fraud detection use cases
• 6+ years of experience in Data Science, Machine Learning, or AI-related roles
• Bachelor’s degree required.