17 of 17 Data Munging Jobs in the UK

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 ...

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 ...

hackajob is collaborating with Barclays to connect them with exceptional professionals for this role. We are seeking an experience Data Strategy Engineer to join our Cross Markets team where you will Industrialise data standardisation across all cross-market apps, develop consolidated strategies, and translate platform capability … into measurable outcomes. Design and build scalable data pipelines using AWS services like AWS Glue, Databricks, DIH and S3. Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes. Create and manage applications using Python, SQL, Databricks, and various ...

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 … optimizing performance, and maintaining the reliability of AI-driven features, while contributing to the technical growth of the team. Responsibilities Responsibilities include: Bridge data science and software engineering to productionize AI/ML solutions. Collaborate with data scientists, software engineers, and product teams to deliver robust ...

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 Practice 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 ...

technology, we do it together. As a Senior AI Engineer within the Workday Practice 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 … cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. 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 ...

together. 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 … Azure ML Studio. Ability to design and deploy cloud-based AI solutions. 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 ...

ambitious team that celebrates creativity and collaboration. Ready to make your mark? Join us and be part of something bigger. As a Lead Data Scientist within Kainos Workday Products division , you will play a pivotal role in actively contributing to the AI solutions behind our fast growing suite … experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes), including their use in designing scalable, cloud-native AI/ML systems. Proficiency in data engineering, including data wrangling, cleansing, and creating pipelines that integrate seamlessly into production environments. Extensive experience in cloud environments (AWS, Azure ...

working closely with and under the guidance of senior engineers to help integrate AI models into production systems. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings - including Kainos Smart (Smart Test, Smart … early career experience - with an interest in developing MLOps skills (CI/CD, model versioning, monitoring). Awareness of responsible AI, security, and data privacy practices, with the ability to follow agreed guidelines such as handling sensitive data correctly, using approved tools, and raising potential risks ...

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 ...

looking for experienced engineers who own outcomes end‐to‐end — down to reading transcripts, supporting users, and wrangling vendors. Anthropic’s RL Data team builds the systems that produce high‐quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the 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 ...

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 ...

Palantir invites engineers to join as Forward Deployed Software Engineers, collaborating directly with customers to understand their toughest problems and craft data-driven solutions. You’ll apply problem-solving, creativity, and coding across data wrangling, web apps, and architecture discussions to deliver tangible impact. The role ...