51 to 69 of 69 Data Quality Jobs in Berkshire

Data Centre Analyst (Contract) – Wokingham Location: Wokingham (Hybrid – 3 days onsite per week) Contract Duration: 6 months Rate: £380 – £400/day (Inside IR35) Key Responsibilities: Ensure safe and reliable operation of the data centre estate. Conduct regular IT asset audits to maintain compliance and data accuracy. Maintain DCIM tools (e.g., Nlyte) to monitor capacity limits. Manage … changes and risks through formal Change Control Processes. Raise and resolve change or incident tickets within SLAs. Provide incident management support and troubleshoot issues. Represent the data centre in workshops, CABs, and multidisciplinary events. Validate technical designs for safe housing and supportability of systems. Deliver data centre inductions and maintain access records. Prepare for and complete internal and … GIS platforms. Experience with Azure cloud infrastructure and DevOps practices. Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience with cross-functional team leadership. Desirable Skills: Experience with DCIM tools More ❯

be doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. … Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data/variable drift over … time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins). Learn from senior team members and contribute to continuous improvement of model More ❯

to be supporting a rapidly growing medical technology company working on a major new NHS project. With the project about to go live, they are now seeking a Senior Data Analyst to take a lead role in delivering critical insights, dashboards, and reporting to drive decisions at the highest levels. This is a highly visible, customer-facing role where … project metrics, building and presenting dashboards, and providing insights directly to internal leadership and external stakeholders. You’ll also oversee and mentor one direct report, helping to shape the data capability as the project grows. Key Responsibilities: Develop and maintain dashboards and reports for senior stakeholders, using SQL and Looker Studio Track and report key project metrics, ensuring accuracy … and clarity for both internal and external audiences Present data insights in a clear and engaging way to executives, NHS partners, and wider project stakeholders Support data quality and governance while introducing automation and efficiency improvements Line manage and mentor one direct report, embedding best practice across the data team We’re looking for a Senior More ❯

vision. Our mission is to build products that customers love by harnessing cutting-edge AI to transform their shopping experience. About the Job We are looking for a Senior Data Scientist with experience in bringing advanced machine learning and data science systems to production to work with our team of industry leading domain experts and engineers. You'll … be working across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to … production and optimise for inference in edge computing environments. Essential Qualifications: 3-5+ years implementing advanced data science solutions in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge More ❯

Job Title: Regulatory Data Analyst – Capital Markets (XVA/Regulatory Reporting) Location: Canary Wharf, London (2 days per week onsite) Salary: Up to £75,000 per annum Contract Duration: Initial term until December 2025, with strong potential for long-term extension We are recruiting on behalf of a global consultancy, supporting a leading investment bank’s Markets Technology team. … reporting and delivery of strategic change across multiple asset classes. Key Responsibilities Collaborate closely with development teams to deliver regulatory reporting solutions within the XVA domain. Perform hands-on data analysis, including cost analysis, reconciliations, and data quality reviews. Identify opportunities for process optimisation and automation to improve operational efficiency. Capture, refine, and manage requirements in an … and related tools. Ideal Candidate Profile Strong background in Capital Markets with exposure to valuation adjustments (XVA) across FX, Commodities, Credit, Equities, etc. Experience as a Regulatory Analyst/Data Analyst in financial services, ideally with some stakeholder or team management experience. Strong data analysis skills, able to produce consultative insights and support change delivery. Familiarity with MongoDB More ❯

Junior Data Analyst Salary: £34,000 Location: Remote (with London office available) Working Model: Remote/Hybrid About the Company/Role A national non-profit org is looking for a Junior Data Analyst to join its central reporting function. This is a great opportunity for someone early in their career (first or second role in data … team of 8 analysts and senior leads , gaining exposure to high-impact reporting and cross-functional stakeholders. Use Excel and Business Objects to extract, manipulate, and present data. Improve data quality and streamline reporting processes. Deliver ad-hoc analysis and liaise with internal and external stakeholders. Communicate complex data clearly to non-technical audiences. Skills and Experience More ❯

Up to £85,000 The Company A high-growth, tech-led scale-up shaking up the insurance space, now building flexible, usage-based insurance products for modern businesses, with data at the core of every decision. Backed by strong investment and their own UK insurance license, they’re scaling fast and investing heavily in their data function. The … this role is ideal for someone who enjoys end-to-end ownership, from designing clean dbt models to working closely with business stakeholders. You'll help shape the way data is modelled, documented, and served across the business, working with a modern stack and high-impact teams. Key responsibilities in the role Build and maintain robust dbt models within … the Snowflake data warehouse Design scalable solutions that translate business questions into reliable datasets Collaborate with teams across product, ops, marketing, and finance Improve data quality, documentation, and platform reliability Integrate data from key third-party sources Support self-serve analytics through Looker What They’re Looking For Previous experience in an analytics engineering role (or More ❯

for core HR, Cornerstone for learning and Gloat for talent mobility and this role needs someone to get them to work together seamlessly. The CHRO wants real‐time insights, data consistency and a frictionless employee experience. Migrating to the cloud and building an integrated data and integration platform that spans finance, HR and legall. Your mission will be … NEED TO DO: Shape and execute the digital HR roadmap : modernise the Global HR tech stack, prioritise Workday configuration, and integrate Cornerstone and Gloat with enterprise platforms. Own HR data and integration architecture : ensure high‐quality data across systems, develop APIs and interfaces, and align with finance/GC technology to deliver enterprise‐wide insights. Drive AI … learning management (Cornerstone or similar) and talent marketplace platforms. Track record in programme delivery—leading multi‐stream HRIS portfolios, integrations and cloud migrations for global organisations. Technical acumen in data integration, APIs and cloud platforms, with a focus on unifying disparate systems and improving data quality. Strategic vision and stakeholder management skills, enabling you to partner credibly with More ❯

success. The role: Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases. Deliver Proven … Contribute to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related … record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences This is an excellent More ❯

months, to be based out of our London office. Role Responsibilities To ensure the effective operation, integration, and continuous improvement of the Salesforce and Planisware platforms. This includes maintaining data integrity, enabling process automation, and aligning system capabilities with business objectives. In Salesforce, the focus is on supporting CRM processes, governance compliance, and business insight generation. In Planisware, the … Tractebel counterparts is essential to ensure alignment and consistency across shared systems and processes. Systems Management Maintain and enhance Salesforce and Planisware environments, including user roles, permissions, workflows, backend data and license allocation. Monitor system performance and resolve technical issues in collaboration with Tractebel and IT support teams. Manage user access and license allocation to ensure compliance, security, accessibility … to Tractebel support as needed. Liaise with Tractebel’s Salesforce and Planisware communities to align on shared initiatives and system activities. Oversee integration between Salesforce and Planisware, ensuring accurate data flow from opportunity to close out. Troubleshoot data exchanges with connected systems such as SAP and Sezame. Maintain Stage & Gate activities in Planisware, working with the relevant process More ❯

any Level 3 issues Manage Salesforce 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 … admin 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 ❯

I am very excited to recruit for a global HRIS & Data Manager based in the heart of London. This is a permanent role working for an outstanding business, where you will take ownership of the organisation's people technology landscape. You’ll be the driving force behind SAP SuccessFactors system optimisation, data integrity, and the delivery of meaningful … purpose today and scalable for tomorrow Lead system configuration, upgrades, and troubleshooting with precision and foresight Collaborate with external tech partners to deliver seamless solutions and continuous improvement Safeguard data quality and security across all platforms Build and deliver robust reporting frameworks that empower leadership with actionable intelligence Translate complex data into clear narratives that support people … s strategy and performance Ensure consistency and accuracy in all reporting outputs Partner with cross-functional teams to understand their needs and deliver tailored system and data solutions Provide training and support to users, enhancing adoption and confidence Map data flows across systems and functions, ensuring alignment and efficiency Identify automation opportunities and drive digital transformation across HR More ❯

scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models. Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model More ❯

internal models, and identify performance bottlenecks in existing implementations for optimisation. Month 3 : Design and implement a prototype model architecture, achieve quantifiable improvements in model performance metrics, and develop data pipeline components for large-scale training workflows. Month 6 : Deploy an optimised foundation model meeting production requirements, implement algorithmic improvements reducing training time and memory footprint, and document performance … Python programming skills with experience in developing and debugging production-level code Desired Skills (Bonus Points): Proven experience in recommender systems, behavioural AI, and/or reinforcement learning. Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). PhD in Computer Science, Machine Learning, or a closely related field More ❯

ANALYTICS ANALYST UP TO £50,000 LONDON The Company: This specialist consultancy delivers digital and marketing analytics strategies that drive performance. They work at the intersection of data, digital, and marketing, helping clients optimise campaigns, personalise customer journeys, and improve marketing effectiveness through advanced statistical modelling and data-led insights. With a strong reputation for high-impact delivery … senior stakeholders, including CMOs. Key responsibilities include: Leading statistical analysis across products, campaigns, and digital channels Building attribution models, MMM, clustering, and segmentation using SQL and Python Translating complex data into clear, actionable insights for senior audiences Driving personalisation strategies and optimisation recommendations Presenting findings to forums of up to 40 senior stakeholders with confidence and clarity Acting as … the bridge between client stakeholders and internal delivery teams Supporting data quality checks and analytics implementation Your Skills 2–4+ years’ experience in digital or marketing analytics Hands-on expertise with SQL and Python for statistical modelling (clustering, MMM, propensity) Confident communicator, comfortable presenting to senior stakeholders and large groups Strong understanding of digital marketing KPIs and campaign More ❯

governance. Partner with People, IT, and business stakeholders to embed Workday and drive continuous improvement. Lead and support testing, training, release planning, documentation, and reporting activities. Maintain security and data integrity, ensure reporting needs are met, and manage Workday integrations with IT. What You’ll Bring: Proven hands-on experience configuring multiple Workday modules (HCM, Recruiting, Absence, Time Tracking … with Advanced Comp, Benefits, and Talent & Performance is a plus. Experience supporting Workday's bi-annual releases and BAU activities. Strong analytical skills and attention to detail, particularly in data quality, audits, and EIB uploads. Ability to create calculated fields, dashboards, reports, and design Workday Journeys and surveys. Effective communication and stakeholder management skills. A continuous improvement mindset More ❯

largest group of gaming brands on the continent. We are looking for a Customer Insight Analyst to join our growing analytics team and play a key role in driving data-led decision-making across the business. This position is ideal for someone with strong analytical skills, business acumen, and a passion for understanding customer behavior — particularly within the online … Evaluate VIP player activity , behaviors, retention trends, and potential high-value customers to support acquisition and retention strategies. Deliver actionable insights to marketing, CRM, and product teams to support data-led decision making. Own and deliver regular and ad hoc reporting on key customer KPIs, campaign performance, and player segmentation. Build and maintain strong relationships with internal stakeholders across … marketing, product, VIP management, and finance. Develop dashboards and visualizations using Looker (preferred) or other BI tools to make complex data easily digestible. Identify patterns and trends in customer data to support strategic planning and forecasting. Collaborate with the wider analytics team to continually improve reporting processes and data quality. Skills & Experience Proven experience in a customer More ❯

the opportunity to work across a wide range of modules and reporting solutions, helping to embed Workday into business-as-usual operations while driving continuous improvement, system evolution, and data-led insights. Key Responsibilities System Development & Configuration Configure, maintain, and enhance Workday modules (Core HCM, Recruiting, Absence, Time Tracking, and others). Support the platform’s evolution from initial … to full adoption. Actively contribute to Workday’s bi-annual release cycle through testing, analysis, and communication with stakeholders. Reporting & Analytics Lead and support delivery of dashboards, reports, and data insights using Workday Report Writer (Advanced, Matrix, Composite, Dashboards, and Drive solutions such as Worksheets, Discovery Boards, and Slides). Develop and maintain strategic reporting solutions aligned to organisational … needs. Manage cyclical and ad hoc reporting requirements, ensuring accuracy, consistency, and compliance with data governance standards. Support progression towards self-service reporting, empowering stakeholders with dynamic and real-time insights. Stakeholder Engagement & Support Serve as a consultative partner to HR, IT, and business teams, gathering requirements and co-creating solutions. Provide clear communication, documentation, and training for HR More ❯

like billing, collections, financial reporting, and reconciliation. You’ll work closely with our Finance Lead, CEO, Founder’s Associate, and external accounting partners to ensure timely and accurate financial data that drives key business decisions. This role is both strategic and operational —you’ll zoom in on details (invoices, reconciliations, data clean-up) and zoom out to improve … with external accountants, and ad hoc financial analysis & adjustments with leadership. Systems & Process Improvement : Lead scalable tooling and process enhancements across finance ops, with a focus on documentation and data quality. About You 2–4 years of experience: you’ve spent time in the trenches of financial ops, accounting, or FP&A, ideally in a startup or SaaS environment More ❯