1 to 25 of 101 Data Munging Jobs

Game and Inspire the Nation through Winning England Teams The FA is excited to be recruiting an England Men's Insights Senior Data Scientist who will play a key role within the Insights department, driving evidence-based insights across multiple performance functions. The successful candidate will develop … implement advanced analytical models and data-driven applications to generate actionable insights that support player selection, development and performance outcomes. Leveraging their expertise in data science, they will design, train and optimise models, working closely with a range of stakeholders to ensure cutting-edge insights ...

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 ...

unable to offer relocation support for this role. Please only apply if this location is accessible for you. As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied … patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine or statistics to enrich drug development decisions in close collaboration with internal ...

with Raytheon UK to hire for this role. Date Posted: 2026-09-08 Country: United Kingdom Location: Warminster, Wiltshire Position Role Type: Hybrid Data Analyst Be at the forefront of transforming British Army training. About us: At OMNIA Training, weve brought together some of the UKs most innovative … Design and deliver clear, meaningful visualisations and reports that support operational decision-making. Explore and analyse through use of statistical tools and techniques data to identify patterns, relationships and trends to inform further development. Collaborate with data architects and engineers to ensure analytical outputs align with ...

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 ...

Data and AI Training Academy Are you looking to kickstart your career in AI? Whether you’re just starting out or changing your career, the Data and AI Academy at Digital Futures offers you the unique opportunity to launch your technology career through structured training, certifications … organisations. Your Journey with Digital Futures 1. Training Your journey begins with 10 weeks of free, full-time, award-winning training at our Data and AI Academy. You’ll learn from our expert instructors and build practical skills across AI, data, analytics, automation and emerging technologies. ...

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 ...

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 ...

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 ...

unable to offer relocation support for this role. Please only apply if this location is accessible for you. As a Senior Principal Data Scientist in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied … patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine or statistics to enrich drug development decisions in close collaboration with internal ...

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 ...

/SCI POLYGRAPH LEVEL IS REQUIRED We have an immediate need for a Software Engineer with extensive expertise in dataflow design, data transport mechanisms, and Apache Spark distributed processing. In this high-impact role, you will be responsible for designing, implementing, and optimizing end-to-end data ingress and egress pathways. You will ensure the efficient, scalable, and highly reliable processing of enterprise-scale analytics workloads while maintaining strict data quality and system integrity. The annual base salary range for this role is $199,000-$235,000 (USD) , which does not include discretionary bonus ...

/SCI POLYGRAPH LEVEL IS REQUIRED We have an immediate need for a Software Engineer with extensive expertise in dataflow design, data transport mechanisms, and Apache Spark distributed processing. In this high-impact role, you will be responsible for designing, implementing, and optimizing end-to-end data ingress and egress pathways. You will ensure the efficient, scalable, and highly reliable processing of enterprise-scale analytics workloads while maintaining strict data quality and system integrity. The annual base salary range for this role is $199,000-$235,000 (USD) , which does not include discretionary bonus ...

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 ...

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 ...

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 ...

practices effective communication. Responsibilities Develop and optimize machine learning models for real-world and national security and defense applications Build and maintain scalable data pipelines for model training and deployment. Collaborate with product, engineering, and data teams to understand requirements and translate them into actionable solutions. … programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Solid understanding of algorithms, data structures, and statistical methods. Experience building and deploying machine learning models into production environments. Knowledge of cloud platforms such as AWS or Azure ...