76 to 79 of 79 Pandas Jobs in the City of London

pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep passion More ❯

We are seeking a VP Data Science to lead our Data Science function within Planning Agent, our AI-powered advertising planning platform used daily by IPG agency teams. This role will shape the future of agentic AI in marketing technology More ❯

with Product and Data Science to spec new capabilities—structured output schemas, prompt templates, embedding-based discovery Experiment & prototype: Build proof-of-concepts for new report types using Python, pandas, OpenAI APIs, and our data pipelines QA & iteration: Test new features, validate AI outputs for accuracy and relevance, ensure quality before launch Operations & Optimization (10%) Monitor report health: Track delivery … or data-driven reporting AI-native experience: Hands-on work building reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau More ❯

with Product and Data Science to spec new capabilities—structured output schemas, prompt templates, embedding-based discovery Experiment & prototype: Build proof-of-concepts for new report types using Python, pandas, OpenAI APIs, and our data pipelines QA & iteration: Test new features, validate AI outputs for accuracy and relevance, ensure quality before launch Operations & Optimization (10%) Monitor report health: Track delivery … or data-driven reporting AI-native experience: Hands-on work building reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau More ❯