11 of 11 Permanent Validation Jobs in High Wycombe

Code Workbook. Productization & Scaling: Create Prototypes and Convert them into production-grade solutions and drive adoption across teams and geographies. Governance & Compliance: Implement data validation, monitoring, and documentation to ensure integrity, traceability, and compliance with privacy and security standards. Cross-functional Collaboration: Work with deployment strategists, software engineers, and product ...

configuring business processes and security Create ETL scripts to transform and load data, and create strategies to improve and normalize client data Support the validation of data loaded into Workday Regularly engage and support the client through all phases of the project, ensuring a smooth transfer from legacy systems ...

ensuring data quality in analytics platforms. Certifications in automation testing – e.g., ISTQB, Selenium, or Azure Data Factory testing certifications that demonstrate expertise in automated validation of data workflows. Experience in identifying, researching, and analysing emerging testing trends and technologies – e.g., exploring AI-assisted test automation, data quality monitoring tools ...

generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research ...

build and deployment of scalable, high-impact systems. You will play a pivotal role in guiding project teams through solution design, build execution, client validation, and final delivery. You will engage with clients throughout the sales, design and build phase, provide subject matter expertise, and ensure quality, scalable architecture ...

Move beyond requirements gathering. You will map assumptions and use Opportunity Solution Trees to prioritize problems based on data and user value Drive Experimentation & Validation: champion a hypothesis-driven approach. You will slice large initiatives into small, testable chunks (A/B tests, prototypes, user interviews) to de-risk development ...

release, and post-launch optimization using Agile practices. Define release scope, acceptance criteria, and quality bars in collaboration with engineering, QA, and regulatory/validation stakeholders. Monitor product performance and adoption, iterating based on real usage, feedback, and telemetry. Go-to-Market & Field Alignment Partner with Product Marketing to define ...

applied data scientist. Degree in Software Engineering, Computer Science, or a related discipline. Advanced proficiency in Python programming and debugging. Strong skills in testing, validation, and optimization of code. Excellent attention to detail and technical documentation. Application Process (Takes 20 min) Upload resume AI interview based on your resume ...

Consultant with strong knowledge of Advanced Compliance Reporting (ACR) and UK HMRC tax submission processes. The consultant will support functional configuration, testing, and validation of the ACR solution to ensure full compatibility and performance within the newly implemented SAP BTP Multi-Cloud environment. Key Responsibilities Lead the functional analysis ...

agents for improved domain-specific performance. Create reusable instructions, templates, and best practices for AI agents. Potential to collaborate asynchronously with AI researchers on validation and design. Requirements: Strong experience in finance, investment banking, private equity, or hedge fund experience preferred. Strong practical understanding of financial modelling, transactions, or research ...

both code and data/model performance. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time. Collaborate cross … machine learning role, with demonstrated success in MLOps and deploying models to production. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms. Strong Python programming skills ...