1 to 25 of 41 Validation Jobs in Scotland

BigQuery). MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies. Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: Solution design and technical architecture capabilities. Requirements translation from business ...

BigQuery). MLOps : Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration : Assessment methodologies, migration patterns, data validation, cutover strategies. Development Practices : API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: Solution design and technical architecture capabilities. Requirements translation from business ...

BigQuery). MLOps : Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking. Data Migration : Assessment methodologies, migration patterns, data validation, cutover strategies. Development Practices : API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: Solution design and technical architecture capabilities. Requirements translation from business ...

repeatable data migration process suitable for use over multiple project phases. Actively review data quality assessments, addressing any inconsistencies and apply data cleansing and validation techniques. Build data pipelines that clean, transform, and aggregate data from disparate sources. Stay up-to-date with emerging trends and technologies in data engineering. ...

learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise ...

learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise ...

data extraction, transformation, and analysis. Support the development and testing of data pipelines, reports, and dashboards. Assist in UAT (User Acceptance Testing) and validation of end-to-end solutions. Prepare BRD, FRD, use cases, process flows, and mapping documents. Collaborate on solution design, data architecture, and systems integration (e.g., with ...

data extraction, transformation, and analysis. Support the development and testing of data pipelines, reports, and dashboards. Assist in UAT (User Acceptance Testing) and validation of end-to-end solutions. Prepare BRD, FRD, use cases, process flows, and mapping documents. Collaborate on solution design, data architecture, and systems integration (e.g., with ...

data extraction, transformation, and analysis. Support the development and testing of data pipelines, reports, and dashboards. Assist in UAT (User Acceptance Testing) and validation of end-to-end solutions. Prepare BRD, FRD, use cases, process flows, and mapping documents. Collaborate on solution design, data architecture, and systems integration (e.g., with ...

large and complex datasets. Ability to interpret regulatory requirements and translate them into business and data solutions. Experience conducting data mapping, gap analysis, data validation, and data quality assessments. Excellent stakeholder management and communication skills, with the ability to work across Business, Operations, and Technology functions. Strong analytical and problem ...

. • Work with technical teams to ensure requirements are understood and delivered in line with agreed outcomes. • Support customer workshops, playback sessions and requirements validation activities. • Contribute to workflow diagrams, functional designs and business process documentation. • Work collaboratively with architects, consultants, developers, testers and change and enablement teams throughout implementations. ...

acceptance criteria to ensure stories are ready for development. Agile Ceremonies: Run agile ceremonies, including backlog grooming, sprint planning, sprint reviews, and retrospectives. Feature Validation: Conduct User Acceptance Testing (UAT) to validate that stories meet the definition of done and acceptance criteria. Customer Interaction: Discuss features with internal and external ...

what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business ...

what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business ...

objectives into manageable tasks and activities. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data ...

assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document ...

assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document ...

assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion cleaning EDA modeling validation deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document ...

dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning ...

Sign-off and documentation – Work with the client to sign-off the project and document all of the client specific needs and processes ensuring validation and confirmation on the project implementation. Responsible for generating reports to analyze, audit, and reconcile payroll data. Reports- Mapping of GL reports if required Communication ...

Sign-off and documentation – Work with the client to sign-off the project and document all of the client specific needs and processes ensuring validation and confirmation on the project implementation. Responsible for generating reports to analyze, audit, and reconcile payroll data. Reports- Mapping of GL reports if required Communication ...

application configuration, including forms, dashboards, business rules, and workflows. Driving functional support for technical activities such as data integration, mapping, and automations. Facilitating solution validation workshops with key business stakeholders. Overseeing testing support, training delivery, post-go-live support, and other related aspects of functional implementation advice and guidance. Qualifications ...

Work with technical teams to help ensure requirements are understood, tracked and delivered in line with agreed outcomes. • Support customer workshops, playback sessions, requirements validation activities and follow-up actions. • Contribute to workflow diagrams, functional designs, testing inputs and business process documentation. • Work collaboratively with architects, senior consultants, developers, senior ...

pipelines and transformations Define and maintain metadata, data dictionaries, and documentation Support data governance, quality, and consistency initiatives Ensure data integrity through testing and validation activities Contribute to data modelling standards and best practices Essential Skills & Experience Strong experience in Data Modelling and Data Warehousing Expertise in dimensional modelling techniques ...

maintain data models using dbt. Write complex SQL transformations to clean and structure data. Develop modular, reusable data pipelines. Implement data testing and validation (e.g., schema tests, data quality checks). Manage data documentation and lineage within DBT. Design and develop scalable data pipelines using Databricks and Apache Spark. Build ...