Senior Data Scientist – AIML & Generative AI

We are seeking a Senior Data Scientist to lead AI-driven initiatives delivering machine learning and Generative AI solutions within Capital Markets. This role focuses on building scalable models and applications for forecasting anomaly/fraud detection and LLM-based solutions (including RAG and agentic AI) on modern cloud platforms.

Key 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

Key Skills

• 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
• Experience with Databricks and cloud platforms (Azure Preferred)
• Good understanding of Capital Markets domain and fraud detection use cases

Experience & Education

• 6 years of experience in Data Science Machine Learning or AI-related roles
• Bachelors degree required.

Attributes

• 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

Key Skills

• 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
• Experience with Databricks and cloud platforms (Azure Preferred)
• Good understanding of Capital Markets domain and fraud detection use cases

Experience & Education

• 6 years of experience in Data Science Machine Learning or AI-related roles
• Bachelors degree required.