226 to 244 of 244 Data Cleansing Jobs in the UK

evening bootcamps online. You'll teach adult learners across one or more of the following pathways: Intel AI for the Current Workforce Certificate in Digital Support Certificate in Data IT Support What you'll do Deliver live, interactive online sessions (evenings) over 12-16 weeks. Break down complex concepts for mixed-ability groups; coach learners through hands … with the programme team; keep materials current and relevant to industry practice. What you'll bring Strong practical experience in at least one track: AI pathway: Python fundamentals, data handling, basic ML/AI concepts, model lifecycle, responsible AI; familiarity with Intel AI tools an advantage. Digital Support/IT Support: Windows/macOS, O365/M365 … ticketing, troubleshooting, networking basics, hardware/peripherals, customer service. Data: Excel, SQL, Python (Pandas), data cleaning, visualisation, basic analytics; Power BI/Tableau a plus. Confident online facilitator with excellent communication and pacing; able to engage beginners and upskill returners. Prior teaching/training, mentoring or coaching experience (bootcamps, FE/HE, vendor training More ❯

team to shape solution strategy and win new work. Own the overall solution blueprint across Salesforce, Slack and supporting systems. Create HLDs, ERDs, process maps, integration designs and data flow diagrams. Define configuration and build standards that enable consistency and scale. Advise on best practice across Sales Cloud, Service Cloud, Experience Cloud and Slack workflows, Canvas, Slack … and Service Cloud or the Eco-System. Strong background in technical consulting with client facing delivery. Comfortable building demos, prototypes and quick proofs of concept. Experience with integrations, data modelling and cross system architecture. Exposure to and love of Slack - from workflows, canvas, lists you have a passion for it. Prior involvement in pre sales, scoping and … exec and technical audiences. Experience designing permission, sharing and security models. Understanding of security such as strategy, SCIM, SSO and workspace governance Strong data modelling, mapping, cleansing and validation capability. Understanding of data governance, retention and compliance requirements during migrations. Certifications Salesforce Admin, App Builder and Platform Developer required. Salesforce Architect or progress More ❯

Model-driven). Automate workflows with Power Automate. Create dashboards and reports using Power BI. Integrate solutions with SharePoint, Dataverse, and external systems. Perform data analysis, cleansing, and transformation. Provide user training and technical support. Document development processes and maintain solution integrity. Stay updated with Power Platform features and best practices. If you are interested in More ❯

together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster. Key Responsibilities Collaborate with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use data and business insights Train, validate and deploy machine learning … We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace. Work Experience Qualification Musts: Experience in data science methods, including statistical analysis , machine learning , and data visualization . Experience identifying and resolving operational or data-related issues using documented … experience (regression, classification, supervised, and unsupervised learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and JavaScript , with experience using Git or other version control systems . Ability More ❯

innovation, collaboration, and thought leadership . Role – We’re seeking an experienced SAP FI Consultant to support a large-scale S/4HANA Transformation Programme, covering design, build, data, testing, cutover and go-live/hypercare phases. You will work closely with finance process teams and SMEs to identify design gaps, lead core FI activities, and support … knowledge and experience working on complex transformation programmes. Key Responsibilities: Collaborate with finance SMEs and process leads to identify design and build gaps. Support data conversion, cleansing, reporting remediation, cutover and deployment activities. Lead key SAP FI workstreams including: Capital Projects/WBS – mass creation to support transition to IOs. Intercompany – define cutover actions including balance … UAT execution, guiding Finance & Planning teams through testing. Key Skills: Strong experience delivering SAP S/4HANA Finance transformation programmes. Deep functional and technical SAP FI knowledge, including data reconciliation. Strong understanding of financial reporting & consolidation including statutory/local GAAP and US GAAP. Experience working within a SOX-controlled environment. Confident in simplifying complex financial concepts More ❯

Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and … deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product … teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in More ❯

Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and … deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product … teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in More ❯

If you’re methodical, patient with repetitive tasks and keen to build a career working with data, this is an excellent opportunity. You don’t need industry knowledge or technical expertise to start – just a positive attitude, willingness to learn and the drive to grow your skills in a professional, friendly, workplace. Role Support the roll-out … of a new Product Information Management (PIM) system. Upload, categorise and maintain product information so it’s accurate, consistent and easy to use. Prepare and organise data from multiple sources, checking for errors and inconsistencies. Standardise data formats and ensure records are complete. Create simple reports to track progress and highlight trends. Work closely … with colleagues across different departments to understand their needs and share accurate data. Stay curious – learning new tools, best practice and ways to make data management more efficient. Training This apprenticeship offers a fantastic opportunity to gain hands-on experience in a supportive role, while being paid to learn. You’ll spend part of your working week More ❯

eager to apply their academic and project experience to building real-world AI systems that are safe, compliant, and trustworthy. You’ll work closely with experienced AI engineers, data scientists, and product specialists to design, build, and deploy AI and LLM-driven applications on AWS that help organisations comply with emerging AI regulations, including model risk, auditability … compliance and risk workflows on AWS Building LLM applications (e.g. GPT, LLaMA, Claude) that automate policy checks, documentation, and audit trails Implementing end-to-end AI workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Developing scalable pipelines and APIs for AI services using AWS-native infrastructure (e.g. Lambda, ECS/EKS … re Looking For: A recently completed Master’s degree from a top-tier university (e.g. Oxbridge, Imperial, UCL, or other leading Russell Group) in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, internships, or personal projects) applying machine learning or AI techniques Strong programming skills in More ❯

eager to apply their academic and project experience to building real-world AI systems that are safe, compliant, and trustworthy. You’ll work closely with experienced AI engineers, data scientists, and product specialists to design, build, and deploy AI and LLM-driven applications on AWS that help organisations comply with emerging AI regulations, including model risk, auditability … compliance and risk workflows on AWS Building LLM applications (e.g. GPT, LLaMA, Claude) that automate policy checks, documentation, and audit trails Implementing end-to-end AI workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Developing scalable pipelines and APIs for AI services using AWS-native infrastructure (e.g. Lambda, ECS/EKS … re Looking For: A recently completed Master’s degree from a top-tier university (e.g. Oxbridge, Imperial, UCL, or other leading Russell Group) in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, internships, or personal projects) applying machine learning or AI techniques Strong programming skills in More ❯

Role Title: Data Engineer Work mode: Hybrid, 3 days WFO Contract duration: 12 Months Location: London Education: Computer Science Soft Skills: Strong written and verbal communication skills Experience: Hands on programming experience with: Proficient Python Programming Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, Working with virtual environments and package management (pip … venv) Data Manipulation & Analysis (Pandas & NumPy) Key libraries: pandas, numpy, (optional: polars) Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and … Customizing with Plotly Graph Objects for advanced interactivity. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). REST APIs: Fetching or sending data to backend services More ❯

team of process analysts and subject matter experts in identifying potential gaps within design and build. Provide guidance and input to activities including data conversion and cleansing, reporting remediation, cutover support, and deployment planning. Capital Projects/WBS Define mass creation of WBS to enable transition to IOs. Intercompany Define detailed actions required at cutover (clearing … Not applicable Key Skills/Knowledge Knowledge and experience of delivering SAP S/4 Transformation Programs in SAP FI . Deep technical knowledge in SAP FI and data reconciliation . Strong knowledge and experience in financial reporting and consolidation systems, including statutory (local) and US GAAP reporting ; experience with Cognos and SAP is an advantage. Willingness More ❯

the company's HubSpot ecosystem, including launching a new instance for the Australia/New Zealand market. This is a hands-on role focused on building automation, improving data processes, and empowering teams to get the most from HubSpot. Key Responsibilities HubSpot CRM … Ownership Act as the go-to HubSpot specialist across Sales, Marketing, and Operations. Manage and optimise Hubs, workflows, pipelines, automation, and dashboards. Ensure data accuracy through cleansing, duplication, and compliance best practices. Champion CRM adoption by training and supporting teams to leverage HubSpot effectively. Automation & Campaign Optimisation Build, test, and optimise email and membership campaigns within … workflows and lead-nurturing automation. Use analytics to refine campaigns and enhance customer engagement. Reporting & Insight Create and maintain custom reports and dashboards for management visibility. Analyse CRM data to uncover actionable insights that drive business performance. Projects & Integrations Lead the setup of a new HubSpot instance for international regions (ANZ). Manage integrations, API connections, and More ❯

the company's HubSpot ecosystem, including launching a new instance for the Australia/New Zealand market. This is a hands-on role focused on building automation, improving data processes, and empowering teams to get the most from HubSpot. Key Responsibilities HubSpot CRM … Ownership Act as the go-to HubSpot specialist across Sales, Marketing, and Operations. Manage and optimise Hubs, workflows, pipelines, automation, and dashboards. Ensure data accuracy through cleansing, duplication, and compliance best practices. Champion CRM adoption by training and supporting teams to leverage HubSpot effectively. Automation & Campaign Optimisation Build, test, and optimise email and membership campaigns within … workflows and lead-nurturing automation. Use analytics to refine campaigns and enhance customer engagement. Reporting & Insight Create and maintain custom reports and dashboards for management visibility. Analyse CRM data to uncover actionable insights that drive business performance. Projects & Integrations Lead the setup of a new HubSpot instance for international regions (ANZ). Manage integrations, API connections, and More ❯

continuously improve processes. Provide clear communication, training and documentation for stakeholders and user groups. Maintain up-to-date configuration and process documentation and support BAU HR activities, including data quality, reporting, security, and integration troubleshooting. Prepare regular progress updates for system leadership or product owners. Experience & Skills Required 5+ years of hands-on configuration experience across multiple … processes, gathering requirements, mapping user journeys and supporting continuous improvement initiatives. Experience with Workday Journeys, surveys, testing support, issue tracking and bi-annual release cycles. Ability to maintain data integrity, conduct audits and support data cleansing. Confident in updating configurations, completing and validating EIBs, resolving system and data issues, and supporting More ❯

end and back end. Develop custom reports and dashboards tailored to business needs. Train end users and provide ongoing system support. Collaborate with internal stakeholders to ensure smooth data migration and system adoption. Work closely with technical and non-technical teams to implement process improvements. Must-Haves Proven experience with Salesforce administration (1-2 years preferred). … equivalent). Nice-to-Haves Experience in business analysis or process improvement. Previous work with 3B Systems . Familiarity with Salesforce integrations such as Form Assembly , Zapier , or data tools like Dataloader and XL Connector . Strong Excel skills for data cleaning and analysis (Power Query desirable). Experience within education or non-profit More ❯

Contract Contract Duration – 1 year ( extendable) Work address : Canary Wharf , London Work Mode – Weekly 3 days Onsite and 2 days Remote Job Description- Relevant experience on timeseries/data package is mandate Experience- Hands on programming experience with: i. Proficient Python Programming ii. Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. … Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable code. Unit testing … Plotly Graph Objects for advanced interactivity. ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). iii. REST APIs: Fetching or sending data to backend services More ❯

Contract Contract Duration – 1 year ( extendable) Work address : Canary Wharf , London Work Mode – Weekly 3 days Onsite and 2 days Remote Job Description- Relevant experience on timeseries/data package is mandate Experience- Hands on programming experience with: i. Proficient Python Programming ii. Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling, iii. … Working with virtual environments and package management (pip, venv) Data Manipulation & Analysis (Pandas & NumPy) i. Key libraries: pandas, numpy, (optional: polars) ii. Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL Software Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable code. Unit testing … Plotly Graph Objects for advanced interactivity. ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). iii. REST APIs: Fetching or sending data to backend services More ❯

Government Security Classification check required Join a facilities and maintenance company that has a 35+ year history specialising in the maintenance and cleaning of IT, technical hardware and data centres. No two days are the same, there are varied duties and this is a mobile role, on the road, driving to various appointments and locations. This company … scheduled into visit 6-12 sites per day. Duties will be varied as this role encompasses all aspects of the business from IT Hardware Auditing, PC Cleaning and Data Centre Cleaning. You will also service and maintain delivery lockers at various locations, replacing parts and making sure they are in working order. 50% of this role is More ❯