13 of 13 Permanent Data Munging Jobs in London

Description - Data Scientist Senior Manager (17117) Job Description Data Scientist Senior Manager ( 17117 ) Description We are easyJet – a FTSE-250 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this, you have probably already been … level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing ...

combine highly skilled experts with our AI Launchpad , industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses . We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with … speed. Our Purpose: At WeBuild-AI, we're not just building data architectures—we're building the foundation for AI-powered business transformation that creates lasting impact. Our teams are pioneering new approaches that fundamentally change how enterprises leverage their data assets, unlocking possibilities that were ...

Data Scientist Senior Manager (17117) We are easyJet – a FTSE-250 listed, £multi‐billion low‐cost airline that serves tens of millions of customers each year. We fly more than 1,207 routes, connecting 38 countries across Europe, employ more than 18,000 colleagues … high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational ...

Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine ...

company Arctal builds structured datasets from unstructured financial documents—100,000+ PDFs (fund reports, regulatory filings, investor letters) turned into clean, queryable data that institutional buyers use for decision-making. AI agents do the reading. We build the agents. Team of 5, output of 50. A dataset … agents do the extraction and structuring. They cannot be the ones standing behind it. Our customers are asset managers, allocators, and financial data firms who need reliable data extracted from documents that were never meant to be machine-readable. The role You'll own data ...

expertise, and enterprise sales. You will spend part of your time in front of prospects — running demos, executing proofs of concept on their data, and translating their financial crime detection challenges into tailored solutions built on the SymphonyAI platform. You will need the technical depth to credibly engage … with data science teams, configure and tune machine learning models against client data, and shape proposals that win competitive deals. Job Description What you will do Pre‐Sales engagement (around 40% of your time) Lead the technical workstream of sales opportunities, partnering closely with Account Executives ...

looking for experienced engineers who own outcomes end‐to‐end — down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high‐quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling … execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work — especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual ...

Arctal, a London-based startup, is seeking a full-time in-office data engineer to own data wrangling end-to-end: ingestion, cleanup, storage, transformation and distribution of large financial datasets from PDFs. You'll architect a scalable data pipeline, integrate AI agents … ensure data quality so that datasets inform millions of dollars in decisions. 3–5 years building data pipelines or ML systems preferred; you’ll ship in a small team. #J-18808-Ljbffr ...

Role outline Based in London and reporting to the Director of Data & Research Technology, this role sits within Opinium’s CODE (Centre of Data Excellence) team. This is a hands-on role focused on the delivery of quantitative research programmes, including large-scale global trackers … high-profile multi-market studies. The role sits at the intersection of research technology, survey scripting, data processing, automation, workflow engineering, and operational delivery. You will combine strong technical capability with operational judgement. You understand how complex research programmes are built, where delivery risk sits ...

team and platform. The trading platform at Longshot handles integrations with many bookmakers and exchanges worldwide. It normalises and combines the global odds data for many sports and makes it available internally for strategies to trade on. We handle thousands of odds updates and trades per second … team: integrating more trading venues, optimising key parts of the platform, making trading safer and faster, etc. We also maintain a significant historical data repository and support wider trading and research efforts around the company. Our key platform systems are all in Golang, with message buses and databases ...

execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model. A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven … templates and playbooks that make every engagement faster than the last. What You'll Be Doing Building working AI proofs on real client data during Assess engagements, the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent ...

World-Changing Company Palantir builds the world’s leading software for data‐driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. … Role Forward Deployed Engineers (FDEs) work directly with customers to quickly understand their greatest problems and design and implement solutions to use data against them. Our customers rely on Palantir’s platforms for some of their most critical operations, and projects often start with an open-ended question ...

first solutions engineers, you'll be the technical owner of a carrier going live: connecting their data, calibrating the system to their trade rules and embedding recommendations inside the tools their commercial teams already open. This is a high-trust, customer-facing engineering role. You'll define … Lead deployments from kickoff to go-live across instrument, calibrate and launch phases. Connect customer rate, capacity, booking and contract sources without data ever leaving their environment. Translate the rules in a trade manager's head into guardrails and confidence thresholds. Run the daily standup and weekly impact ...