2 of 2 Data Matching Jobs in London

DATA WRANGLER 6-MONTHS £400 PER DAY - INSIDE IR35 HYBRID - LONDON This is an exciting opportunity for a highly analytical and detail-driven Data Wrangler to support a major forensic data analytics project. You'll be working with a specialist team to ingest, clean, and compare massive datasets from multiple complex systems - some sources containing hundreds of … ll be joining a collaborative, focused, and expert-led group engaged on a high-stakes piece of work. THE ROLE You'll play a hands-on role working with data received from external clients-often incomplete, inconsistent, or raw. Your job is to wrangle that data into usable form, run forensic-level comparisons, and support reporting back to … Ingesting and transforming large datasets (100M+ rows), from Oracle, SQL Server, and flat files (CSV, XML). Writing and reviewing SQL and Python (Pandas) scripts to clean and join data across multiple sources. Conducting forensic comparisons between data sources (e.g., matching millions of XML records to transactional logs). Supporting peer code reviews to ensure high quality More ❯

Matching the people with the knowledge to solve today and tomorrow's problems with the companies who need their help to do it. AND WITH AI. An opportunity to get your hands down and dirty with data to help companies find the best talent. Specifically focusing on research, innovation, science, and engineering. There is a huge and complex … database, using AI to provide quantitative insights that are unmatched. These insights highlight underrepresented talent, particularly women. Day to day, you'll design and develop data pipelines, ensuring data is clean, transformed, and integrated efficiently into the database. The environment is collaborative, working closely with machine learning engineers and data scientists to facilitate seamless data analysis. … You'll work within a dynamic team to support and enhance our AI-driven talent platform. Your background is in a heavy data environment, with a natural inclination towards statistical analysis. A STEM degree is beneficial but not necessary. You should be comfortable in the cloud, preferably AWS, with good experience building, managing, and enhancing data pipelines. Proficiency More ❯