strong focus on data reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL More ❯
london, south east england, United Kingdom Hybrid / WFH Options
The Digital Recruitment Company
strong focus on data reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL More ❯
area and a degree-level qualification in a relevant field. - Experience of the systems engineering lifecycle, including requirements management, system design process and product validation and verification - Good understanding and appreciation of all design disciplines, likely to have expertise in at least one. - Ability to produce clear and concise technical More ❯
proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop More ❯
role encompasses functional management and direct technical contribution, working as a team to deliver activities such as technical planning, design, analysis, implementation, system integration, validation and verification. Covering all phases within a product lifecycle. Are you the right candidate Essential Skills Demonstratable and relevant recent experience of working within a More ❯
logistics solutions. About the team You will join the System Integration & Performance team within Innovation & Design Engineering, working alongside experts in Data Analytics, Physical Validation, and Integration. Together, these pillars provide essential tools for Hardware Developers to make informed design decisions. Innovation & Design's mission is to discover, test, and More ❯
in highly analytical and data driven roles, specifically on the product side Solid experience with A/B testing, conversion measurement frameworks, and quantitative validation methods Strong communicator who can translate complex technical concepts and influence decisions Analytical problem-solver who transforms ambiguous challenges into structured, data-informed solutions SQL More ❯
methods, e.g. Finite Element Analysis (FEA), or Electromagnetics, with an interest in data science or machine learning Expertise in model correlation and real-world validation Ideally advanced Python and Java coding stills Minimum 3 years' industry experience, ideally in fast-paced, high-impact engineering settings What we offer Be part More ❯
and tools effectively inform analytical decisions; Work collaboratively with senior model and criteria SMEs within the group; Work closely with the Model and Criteria Validation group to ensure a high quality product; Write clear, concise specifications and development documentation to ensure consistent and thorough documentation in accordance with policy and More ❯
in strategy discussions with leadership team members. A passion for building and participating in highly effective teams and development processes. Strong debugging, testing/validation, and analytics/SQL(AO), skills Apache, Experience working with Agile methodologies (Scrum) and cross-functional teams. Desirable: Experience in CDN, datacenter, hyperscaler, media, news More ❯
involve developing, testing, and validating software solutions for space applications. KEY RESPONSIBILITIES: Develop, review, and maintain Software Requirements Specifications (SRS). Execute Requirements-Based Validation (RB Validation) to ensure software meets requirements. Address Non-Sufficient Verification Failures (NSVF) and improve verification processes. Create UML diagrams for system design and documentation. … Write and maintain software code in languages like C++, Java, or Python. Develop and execute unit tests to validate software components. Conduct Technical Specification Validation (TS Validation) to ensure adherence to technical standards. Collaborate with cross-functional teams for seamless integration. Maintain detailed documentation for designs, tests, and validations. Ensure … compliance with industry standards (e.g., DO-178C, ECSS). SKILLS REQUIRED: Expertise in SRS, RB Validation, and NSVF management. Proficiency in UML modeling for system design. Strong coding skills in C++, Java, Python. Experience in unit testing and TS Validation. Excellent collaboration and problem-solving skills. Attention to detail and More ❯
maritime or defence background would be beneficial. Proven leadership experience managing engineering teams and projects. Experience across the full product lifecycle (design, integration, verification, validation). Risk and project management expertise. Sonar/Maritime knowledge is a plus but not essential. Hybrid Work: 2/3 days per week on More ❯
and maintain Python-based test automation tools Collaborate on framework design and third-party tool integration Define and implement test strategies for LLM behavior validation Support continuous testing, benchmarking, and KPI tracking About the Candidate: On track to complete or have already completed a Bachelor's or Master's degree More ❯
Ealing, London, United Kingdom Hybrid / WFH Options
Matchtech
and Mechanical Engineering An appreciation of designing complex products Systems design experience Experience of working throughout the development lifecycle (design through to integration, verification, validation, and qualification) Expertise in trade-off analysis Technology insertion (e.g. Urgent Capability Requirements) Supporting to in-service products/systems and quality/issue resolution More ❯
West London, London, United Kingdom Hybrid / WFH Options
Defence
and Mechanical Engineering An appreciation of designing complex products Systems design experience Experience of working throughout the development lifecycle (design through to integration, verification, validation, and qualification) Expertise in trade-off analysis Technology insertion (e.g. Urgent Capability Requirements) Supporting to in-service products/systems and quality/issue resolution More ❯
Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data needs and deliver value. Ensure data integrity: Implement quality checks, validation processes, and monitoring for high data reliability. Enhance performance: Optimise database queries and data workflows for speed and efficiency. Visualise insights: Build reports and dashboards More ❯
Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data needs and deliver value. Ensure data integrity: Implement quality checks, validation processes, and monitoring for high data reliability. Enhance performance: Optimise database queries and data workflows for speed and efficiency. Visualise insights: Build reports and dashboards More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Intellect Group
Collaborate across teams: Work closely with brokers, technicians, and other stakeholders to understand data needs and deliver value. Ensure data integrity: Implement quality checks, validation processes, and monitoring for high data reliability. Enhance performance: Optimise database queries and data workflows for speed and efficiency. Visualise insights: Build reports and dashboards More ❯
compliance with security and privacy regulations. Implement automated, scalable data migration processes across various project phases. Conduct rigorous data quality assessments, employing cleansing and validation techniques as needed. Construct robust data pipelines for cleaning, transforming, and aggregating diverse datasets. Collaborate closely with software development and product teams to align data More ❯
produce MI for brokers, markets, and clients Identifying new automatic data capture tools & processes to enhance Aon's data repository Applying best-practice data validation techniques when preparing data for analysis Collaborating with analytical teams to develop new portfolio solutions Presenting insights to senior stakeholders across your region(s) Delivering More ❯
and portfolios. Monitoring accumulation risks against group and entity limits. Overseeing data capture, aggregation, and reporting procedures related to exposure management. Coordinating development and validation of tools and processes for exposure management. Providing exposure management data for group and syndicate capital models. Delivering reports for Lloyd's, regulatory bodies, and More ❯
comparable technologies, create and maintain ETL (Extract, Transform, Load) operations Use Azure Data Factory and Databricks to assemble large, complex data sets Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Ensure data quality/security and compliance. Optimize Azure SQL databases for More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Noir
compliance with security and privacy regulations. Implement automated, scalable data migration processes across various project phases. Conduct rigorous data quality assessments, employing cleansing and validation techniques as needed. Construct robust data pipelines for cleaning, transforming, and aggregating diverse datasets. Collaborate closely with software development and product teams to align data More ❯
APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing More ❯
APIs, databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing More ❯