4 of 4 Remote Data Munging Jobs in East London

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 … 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 science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders 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 another Senior Analytics Engineer. This role is for a talented … out the details below! Salary: £80,000 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 useful! SQL, Python, Cloud (GCP, Azure, AWS or Snowflake), Airflow/ 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, with 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 … 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 into data requirements, collaborating with IT and engineering Stay up to date with new tools, techniques, and best practices in data science What We’re Looking For Solid experience 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, support the strategic tech stack, and collaborate 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 (e.g. serverless ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross More ❯