Senior Data Scientist - Advanced GenAI & Agentic Systems

Responsibilities

• Work on the latest applications of data science to solve business problems
• Directly with client stakeholders to translate business problems into high level analytics solution designs
• Design, develop, and deploy advanced RAG pipelines utilizing semantic chunking, hybrid search (dense + sparse BM25), and cross-encoder re-ranking models
• Build autonomous multi-agent workflows using ReAct loops, native tool calling, complex state management, and deterministic circuit breakers
• Develop parameter-efficient fine-tuning (PEFT) and alignment solutions (LoRA, QLoRA, RLHF, DPO) for large language models
• Translate highly non-linear enterprise problems into scalable AI architectures and technical prototypes
• Present architectural trade-offs (e.g., RoPE vs. ALiBi, MoE routing, Pre/Post-LN) and system designs to senior client stakeholders
• Lead technical deep-dive workshops on LLM evaluation (RAG Triad, LLM-as-a-Judge) and system safety (guardrails, prompt injection defense)
• Implement and operationalize AI models by writing raw, deterministic code, knowing exactly when to bypass heavy framework abstractions (LangChain, LlamaIndex)
• Partner with asset management, wealth management, and banking teams to understand complex operational requirements and translate them into AI architecture designs
• Present architectural trade-offs, model insights, and system designs to senior client stakeholders and lead AI strategy discussions

Requirements

• 8 - 10 years of professional work experience with at least 5 years in Data Science
• Proficiency in Python and SQL
• 8-12 years of hands-on experience in applied Data Science, Machine Learning, and Artificial Intelligence
• Strong domain experience in Banking & Financial Services (BFS), specifically Asset and Wealth Management
• Deep theoretical and practical knowledge of NLP foundations, Transformer architectures (Multi-Head Self-Attention, Positional Encodings), and vector space mathematics
• Proven hands-on experience building and deploying Agentic AI solutions and managing complex agent state across directional graphs
• Expert-level proficiency in Python and SQL; this is a purely hands-on, Individual Contributor (IC) role requiring heavy daily coding
• Experience configuring and optimizing Vector Databases (e.g., HNSW, IVFFlat indexing)