11 of 11 Data Munging Jobs

Great Place to Work certified employer, recognised for our commitment to well-being, inclusion and development - and we're growing fast.Transform Engineering Data into Strategic DecisionsIRIS's Engineering teams generate a significant volume of data across multiple sources, from engineering metrics and tooling telemetry to workforce … data, product telemetry and programme reporting.Today, much of this data exists in separate systems, is manually consolidated when needed, and does not consistently feed into standardised dashboards that support decision-making across teams, divisions and the executive leadership team.We're looking for a highly analytical ...

Factory/cortAIx UK, the AI Researcher will collaborate with AI engineers, AI assurance specialists, human-machine teaming researchers, product owners, domain experts, data engineers and software engineers to turn complex operational and business challenges into validated AI research outcomes, proofs of concept and transferable technical capability. … reusable experimental approaches to Thales UK's internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research and engineering specialists across Thales UK and Group, maturing emerging AI technologies for future deployment and acting as a technical expert on advanced ...

Data Analyst This is an opportunity to join a PE-backed business building its data and analytics capability. You'll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.They are investing in data … works closely with stakeholders across the business to deliver reporting, forecasting, and machine learning solutions. The Role You will: Clean, transform, and prepare data from multiple sources Build and maintain data models within a cloud data platform Develop predictive models for workforce, occupancy ...

What we’re looking forThe Senior Semantic Operations & Data Specialist provides the technical and operational capability that supports the enterprise semantic and ontology function.Working closely with the Ontology Manager, the role is responsible for discovering, analysing, transforming, validating and publishing semantic assets derived from enterprise data, metadata, reference data and external information sources. The role supports the development and maintenance of ontologies, taxonomies, controlled vocabularies, business glossaries and knowledge graph assets.The role acts as the bridge between enterprise data sources, metadata platforms and semantic assets, applying semantic technologies, data ...

Industry/SectorNot ApplicableSpecialismData, Analytics & AIManagement LevelManagerJob Description & SummaryThe OpportunityAs an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced … technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. ...

DescriptionPurpose of the roleTo 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. AccountabilitiesIdentification, 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 learning models ...

DescriptionPurpose of the roleTo 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. AccountabilitiesIdentification, 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 learning models ...

sessions will span: Adobe Creative Cloud (Photoshop, Illustrator, InDesign, Acrobat the works!) Microsoft 365 (Teams, SharePoint, OneDrive, Excel, and beyond) Power BI (from data wrangling to dashboard wizardry) AI Tools & Technologies (ChatGPT, Copilot, automation, and emerging trends) Whether you're delivering in-person workshops at our colleges, running ...

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 ...

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 ...

this role.4+ years’ experience in transformation, consulting, product, operations, business analysis, technology delivery or a similar cross-functional role.Practical experience applying AI, automation, data or digital tools to improve business processes. This could include prototyping, configuring platforms, shaping delivery or advising teams on implementation.Meaningful, demonstrable hands-on experience … taking AI-enabled products, automations or services into production, including evaluation, monitoring, governance and cost managementData wrangling and engineering - experience working with messy data spread across multiple systemsExperience in media, publishing, research, subscription businesses or professional services#LI-hybridWorking ArrangementsThe majority of our roles operate on a hybrid working ...