51 to 54 of 54 Pandas Jobs in London

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 ...

reporting layer design Experience analysing sales, campaign, and market share data Ability to communicate insights clearly to non-technical stakeholders Nice to Have Python (pandas) Wider GCP experience Experience with GfK or similar syndicated market data Background in retail, consumer, or e-commerce environments ...

Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design … Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability ...

become an SME in what cryptocurrency insights Trading and Investment businesses are interested in, to feed into product development Using SQL and Python (Pandas) to pull and analyse Digital Assets and Cryptocurrency market data from different sources To be a successful applicant, you will need: 3+ years commercial experience working … write engaging and thought-provoking research publications from financial asset insights (ideally digital assets) Strong data manipulation and analytical experience with SQL and Python (Pandas) with a proven ability to derive insights from complex datasets Experience with Layer 1 and Layer 2 architectures as well as on-chain data tools ...