1 to 25 of 31 Data Munging Jobs

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 ...

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 ...

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 ...

Description 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 … 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 ...

Discovery group in Cambridge, UK, on a 1-year fixed-term contract. This role sits at the intersection of immuno-oncology biology, computational data science and applied AI, and is central to how we build and embed AI‐first workflows across our discovery group. You will combine scientific … domain expertise with strong software and data‐engineering skills to lead the design and deployment of AI‐powered tools, shape robust data‐infrastructure strategies and serve as a recognised AI Architect for the group. You will provide technical leadership across multiple initiatives, identify opportunities, propose solutions ...

part of something bigger. As a Senior AI Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver … Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software ...

part of something bigger. As a Senior AI Engineer within the Workday Products at Kainos, you will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. Working closely with data scientists, software engineers, and product teams, you will deliver … Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software ...

bigger. As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product … solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile ...

bigger. As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product … solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile ...

bigger. As a Lead AI Engineer within the Workday Practice at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product … solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile ...

product team, with customer-facing support and services responsibilities. This role is for a tech-savvy person who will be responsible for using data and code to drive customer success with data-driven Watershed solutions, bridging the gap between their data challenges and Watershed … Technical Watershed team. Key Responsibilities Client Implementation: Build connections between Watershed and client systems, and configure Watershed to meet each client's goals. Data Pipelines & Integrations: Build and maintain data pipelines and API integrations, and write scripts to create and manage data connections ...

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 ...

central to how we build and embed AI-first workflows across our discoverygroup. You will combine scientific domainexpertisewith strong software and data-engineering skills to lead the design and deployment of AI-powered tools, shape robust data-infrastructurestrategiesand serve as arecognisedAI Architect for the group. … leadership across multiple initiatives,identifyopportunities, proposesolutionsand build capabilities that can be adoptedmore widely across Oncology R&D. Working closely with wet-lab scientists, data scienceteamsand R&D IT, you will translate experimental data into scalable,reproducibleand insight-generating systems, while supportingcolleagues toadoptAI-enabled approachesand strong data ...

their unique requirements. We only source the accounts that meet the company's qualification criteria and enrich them with the most useful data points. With the company's market mapped, they can more efficiently distribute & prioritise leads, while delivering compelling messaging based on their prospect's needs. About … leading a team of 2 Solutions Engineers whilst playing a crucial role both pre and post sales, ensuring we’re delivering the best data sets to our clients and helping them integrate and leverage the data effectively as a part of their GTM strategies. In your ...

basis prohibited by the laws that govern its operations. How This Role Contributes to Our Collective Success? This is an opportunity to use data and analytics to make a meaningful difference to one of the most important decision-making areas at AXIS: Reserving. In this role, you will … help the Reserving team turn complex data into clear, trusted insight so they can better understand trends, explain movements, and make confident decisions. In this role, you will help us: Make reserving decisions easier to understand by improving access to consistent, timely, and well-defined data. Bring important ...

turn part of a global practice offering and influencing the direction of our forensic investigation and cyber incident response capability. The Discovery & Data Insights is the hub of all technical consulting. As part of the team you will be able to assist and provide consultative solutions for other … workstreams such as forensic investigations, eDiscovery and data analytics. Our clients include Law Firms, Fortune 500 multi-nationals, and Government/Law Enforcement across the globe. As Senior Consultant you will be expected to work closely with teams across regions and to develop positive and constructive relationships with ...

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 ...

Description 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 ...

Digital Forensics, Incident Response, Cyber Security and eDiscovery Serve law firms, Fortune 500 multinationals and government/law-enforcement clients Preserve digital data and conduct forensic analysis of digital evidence Prepare reporting for regional and international Discovery & Data Insights teams Collaborate with Cyber Response, Crisis Management … Investigations teams Support experienced professionals in investigating data breaches and security incidents Collect and preserve digital data using industry-standard tools and techniques Assist with forensic analysis and cyber security services Support Investigation teams across all regions Deliver high-quality client deliverables in a timely ...

Director of Product Management and Strategy for LeapSpace. Day to day you'll work with a full-stack engineering team and an embedded data science team, and partner with the team that owns core retrieval. We want PMs who stay close to the technology and can reason about … team that owns core retrieval on how the AI reasons across a researcher's knowledge and the wider corpus. Work with embedded data scientists to evaluate response accuracy, relevance, and trust. Commission the evaluations, read the results, and turn them into prioritised improvements. Requirements Strong cross-functional leadership ...

hands-on experience with AI/ML products (generative AI, RAG, or agentic workflows), and the instinct to work from customer evidence alongside data science. UK (London) or Amsterdam ; remote -first with periodic in-office collaboration.About the RoleWe're looking for a Senior Product Manager with deep product … Product Management and Strategy for LeapSpace . Day to day you'll work with a full-stack engineering team and an embedded data science team, and partner with the team that owns core retrieval. We want PMs who stay close to the technology and can reason about ...