51 to 66 of 66 Data Cleansing Jobs in the South East

clutter Create processes & documentation (training, onboarding manual, easy workflows for marketing and sales teams) What We’re Looking For Proven experience in HubSpot CRM administration Strong background in data cleaning and migration cleanup Understanding of Helpdesk CRM integration best practices Ability to create meaningful reports and dashboards Skilled in delivering clear training and user documentation More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract … valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's … degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract … valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's … degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract … valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's … degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks More ❯

ECOMMERCE DATA ANALYST - LONDON UP TO £55,000 THE COMPANY We are working exclusively with a high-growth D2C wellness brand on a key analytics hire. THE ROLE The successful Ecommerce Data Analyst responsibilities will include: Support Influencer Marketing team: data cleaning, reporting, dashboards, automating manual processes. Support Performance Marketing team … performance reports and insights. Build dashboards in ThoughtSpot. Write SQL (Snowflake, some DBT). Present insights back to marketing stakeholders. YOUR SKILLS AND EXPERIENCE The successful Ecommerce Data Analyst will have the following skills and experience: SQL (essential). Experience in marketing/ecommerce data analysis. Experience with dashboarding tools (ThoughtSpot, Tableau, PowerBI, Looker … . At least 1 year in a similar role. Strong commercial awareness of marketing metrics (CAC, attribution, etc.). THE BENEFITS The successful Ecommerce Data Analyst will receive a salary of up to £55,000, plus an array of additional benefits. HOW TO APPLY: Please register your interest by sending your CV to Harry Mincer via the More ❯

configuration: objects, fields, page layouts, record types, workflows, flows, and approvals Administer users, roles, profiles, and security settings Create reports and dashboards Maintain data quality through cleansing and de-duplication Environment refresh activities Collaborate on integrations and AppExchange implementations (if any) Stay updated with Salesforce releases and recommend improvements Support deployments Requirements: 5+ years of hands … experience (Service Cloud (MUST) , Experience Cloud preferred, Marketing cloud (nice to have)) Salesforce Administrator Certification (Advanced Admin a plus) Strong skills with automation tools (Flows, etc) Experience with data migration tools (Data Loader, etc.) Excellent communication and stakeholder management skills More ❯

configuration: objects, fields, page layouts, record types, workflows, flows, and approvals Administer users, roles, profiles, and security settings Create reports and dashboards Maintain data quality through cleansing and de-duplication Environment refresh activities Collaborate on integrations and AppExchange implementations (if any) Stay updated with Salesforce releases and recommend improvements Support deployments Requirements: 5+ years of hands … experience (Service Cloud (MUST) , Experience Cloud preferred, Marketing cloud (nice to have)) Salesforce Administrator Certification (Advanced Admin a plus) Strong skills with automation tools (Flows, etc) Experience with data migration tools (Data Loader, etc.) Excellent communication and stakeholder management skills More ❯

configuration: objects, fields, page layouts, record types, workflows, flows, and approvals Administer users, roles, profiles, and security settings Create reports and dashboards Maintain data quality through cleansing and de-duplication Environment refresh activities Collaborate on integrations and AppExchange implementations (if any) Stay updated with Salesforce releases and recommend improvements Support deployments Requirements: 5+ years of hands … experience (Service Cloud (MUST) , Experience Cloud preferred, Marketing cloud (nice to have)) Salesforce Administrator Certification (Advanced Admin a plus) Strong skills with automation tools (Flows, etc) Experience with data migration tools (Data Loader, etc.) Excellent communication and stakeholder management skills More ❯

Job Title: Software Engineer – (AI Automation & LLM ) Location: London- Hybrid role Duration: 31st December 2025- possible extension Role: We're looking for a skilled Data Engineer/Software Engineer to support a pioneering AI research project focused on Large Language Model (LLM) agents and intelligent automation. You’ll play a central role in preparing and filtering text … image, and video datasets used to train advanced AI systems, helping to ensure data quality, relevance, and safety.. Key Responsibilities Data Onboarding: Convert raw datasets into structured formats suitable for automated processing. Filtering: Apply data cleaning, quality checks, and filtering pipelines to identify and mitigate risks in datasets. Post-Processing: Integrate … filtering results to modify original datasets, repackage them, and prepare for re-ingestion. Pipeline Engineering: Design, build, and maintain scalable and efficient data pipelines. Collaboration: Work closely with researchers and technical teams to refine processes and contribute to ongoing AI automation work. Writing high-quality Python code for data manipulation and processing Developing and More ❯

in Windows or Linux infrastructure are equally valued Ideal for those with experience maintaining address book data or performing structured data imports/cleansing Desirable (or willing to learn): Microsoft Server 2003, Active Directory, VMware (v5/v5.5), and ITIL practices Working Pattern: Monday to Friday 37 hours per week within a shift More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person … with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you … ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person … with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you … ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person … with engineers and data scientists, and part working remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you … ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. What’s in it for you? 📄 AI That Matters – Work on models that More ❯

Are you a CRM expert with a passion for data, systems, and driving engagement? We're working with a highly respected professional services firm to find a Senior CRM Executive who will take ownership of their CRM and e-marketing platforms, playing a pivotal role in shaping how the business manages relationships and drives growth. This is … of Business Development and a collaborative BD team to: Manage and champion the firm's CRM (Nexl) and email marketing (Mailchimp) platforms. Lead on data integrity, cleansing, and system optimisation. Deliver training and support to users across the business. Provide insightful reporting and analysis to support BD campaigns and demonstrate ROI. Support onboarding of new hires … CRM system (Nexl experience a bonus, but not essential). Background in professional services - legal sector experience is a plus. Strong Excel skills and a meticulous eye for data accuracy. Confident communicator with the ability to train and influence stakeholders at all levels. Knowledge of GDPR and data protection best practices. A proactive, solutions More ❯

operational workforce of c1,100 employees Lead the governance and optimisation of the HR system, currently used across various regions, ensuring accuracy, compliance, and global consistency. Drive smarter, data-led HR practices,bringing dashboards, insights, and automation to the forefront. Be a trusted partner to senior leaders across People, Finance, and Operations. Provide training and support to … Management - additional duties will include: Lead the configuration, maintenance, updates, as well as annual holidays and optimisation of the HRIS platform (Dayforce) Ensure data integrity, security, cleansing and compliance across payroll, benefits, and HR systems Collaborate with Finance, HR, and external vendors to simplify and streamline processes and resolve any issues Own the relationships with Dayforce More ❯

investors across key regions. Coordinate investor outreach campaigns and roadshows. Manage email and meeting scheduling, tracking responses and engagement. Draft and refine outreach templates using AI tools. CRM & Data Automation Maintain and optimize CRM pipelines and reporting dashboards. Clean and structure investor data using Excel and AI agents. Develop automated workflows to track engagement … from third-party databases. AI & Workflow Innovation Use AI tools to enhance internal workflows and research processes. Create prompt templates and automation scripts to accelerate investor reporting and data cleaning. Test and scale digital outreach processes to improve efficiency. Explore new ways to generate investor opportunities using emerging technologies. Tools You'll Use: HubSpot CRM (or similar … is: Highly structured, detail-oriented, and process-driven. Quick to learn and eager to apply AI tools in a commercial setting. Tech-savvy, with a background in finance, data, consulting, or marketing. Familiar with institutional investors such as family offices, pension funds, and consultants. Comfortable explaining technical or systematic concepts in plain language. Interested in emerging technologies More ❯