

Vallum Associates
GenAI Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a "GenAI Data Analyst" with a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python, and knowledge of financial crime domains. Familiarity with AWS and Generative AI concepts is required.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
February 11, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - 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
Your responsibilities:
β’ Deliver endβtoβend data analysis using SQL and Python to generate insights, automate processes, and support strategic decisionβmaking.
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.
Your Profile
Essential skills/knowledge/experience:
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)
Your responsibilities:
β’ Deliver endβtoβend data analysis using SQL and Python to generate insights, automate processes, and support strategic decisionβmaking.
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.
Your Profile
Essential skills/knowledge/experience:
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)






