Vallum Associates

Gen AI Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Data Analyst on a contract basis, located in London or Edinburgh, offering hybrid work. Key skills include Python, SQL, and Generative AI knowledge, with experience in financial crime domains preferred.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 11, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Inside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Visualization #AI (Artificial Intelligence) #Data Analysis #NumPy #AWS (Amazon Web Services) #Pandas #Python #Data Pipeline #SQL (Structured Query Language) #Scala #Monitoring #Data Quality #Azure #Databricks
Role description
The Role: Gen AI Data Analyst Location: London (or) Edinburgh, UK Position Type: Contract Inside IR35 Implementation Partner – TCS - Natwest Remote work option Available: Hybrid (2 Days onsite in a week) Job Description: Your responsibilities: (Up to 10, Avoid repetition) β€’ Deliver end‑to‑end data analysis using SQL and Python to generate insights, automate processes, and support strategic decision‑making. β€’ Build interactive dashboards and visualizations that drive performance tracking and business insights. β€’ Develop, finetune, benchmark, and evaluate GenAI/LLM models, including RAG pipelines and robust evaluation frameworks. β€’ Design scalable data pipelines, enforce data quality, and implement strong governance aligned to commercial and institutional requirements. β€’ Collaborate with business stakeholders to translate business needs into analytical solutions and AI capabilities that deliver measurable value. Essential skills/knowledge/experience: (Up to 10, Avoid repetition) β€’ Strong experience in data analysis using Python (Pandas, NumPy) and SQL β€’ Good understanding of Generative AI concepts (LLMs, embeddings, prompt engineering) β€’ Experience working with structured and unstructured data (text, logs, transaction data) β€’ Knowledge of financial crime domains (AML, KYC, transaction monitoring, fraud) β€’ Familiarity with AWS data & AI services (Azure OpenAI, Databricks preferred)