5 of 5 Data Munging Jobs in East London

Data Engineer (Cloud Data Warehouse) Our Story Previse has pioneered algorithm-driven invoice payment decisions. We use machine learning to predict the likelihood that a multinational will ultimately pay a supplier's invoice, which enables instant payment. Previse reduces transaction costs for buyers, improves working capital … for suppliers, and creates an attractive new asset class for funders. This is "Trade Finance 2.0", driven by data, and driving growth for companies large and small. We utilise the latest tech in machine learning and have access to advanced datasets that allow us to train our algorithms … to replace slow manual invoicing. “To ensure that every supplier in the world can be paid instantly, at the fairest rate." Data Engineer As a Data Engineer, you will be responsible for the design, development, and maintenance of our data processing systems. You will More ❯

Senior Analytics Engineer - £80,000+ Cognify have partnered with a fast-growing SaaS platform as they continue to expand their data team following a consistent run of success With offices across the UK, US & Australia, they are now looking to bolster the London team with the addition of … Industry/Type of business: SaaS platform Remote working: 2 days WFH Interview process: 3 stages Company size: ~40 Working on: Data modelling, transformation, data warehousing, data wrangling - with a small element of statistics & forecasting. What are we looking for? Experience modelling in the … data warehouse, multi-step SQL, data wrangling The ability to solve ambiguous challenges with data The ability to communicate with clients & identify needs An understanding of data in relation to dynamic pricing, revenue operations & management, demand forecasting, competitor analysis etc. would be More ❯

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £35,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at … the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll … collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data More ❯

Job Title: Data Scientist Location: London (Hybrid/Flexible) Type: Permanent, Full-Time Overview We're looking for a proactive Data Scientist to join a high-impact team driving innovation in digital insurance underwriting. This role will support the expansion of data-led initiatives … a focus on improving profitability and automation across digital insurance products. You'll collaborate with underwriters, actuaries, analysts, and engineers to turn complex data into actionable insight, build models, and help shape the future of digital insurance trading. What You’ll Do Analyse internal and external data to support risk modelling, pricing, and performance tracking Develop data science solutions using Python and statistical techniques to support automation and optimisation Build dashboards and visual tools to surface insights and trends Work alongside actuarial teams to enhance pricing strategies and portfolio analysis Translate business needs More ❯

Senior Data Engineer - Hedge Fund - London Company Overview A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure … to better support quant research and trading. Role Overview Join a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms … closely with quants and portfolio managers. This is a hands-on role with full ownership across the development lifecycle. Qualifications 5+ years in data engineering Strong Python and data wrangling libraries Expert SQL skills and solid RDBMS understanding Experience with cloud-based data solutions More ❯