We are looking for a strong Azure Data Engineer with Power BI expertise who can manage end-to-end data engineering, reporting, and stakeholder-facing delivery. Data Engineer - London - Permanent Location: London (Onsite - 5 Days/Week) Role: Data Engineer Experience: 5-8 Years Job type: Permanent A strong Azure Data Engineer with hands-on experience in ADF, Synapse, Data Lake, Advanced SQL, Python, and Power BI . The candidate should be able to independently design data models, build pipelines, optimize SQL, create Power BI dashboards, and communicate clearly with stakeholders Data Modeling and Architecture: Design and Develop Data Models: Create and maintain scalable, efficient, and reliable data models to support Business Intelligence and analytics needs. Architectural Strategy: Develop and implement architectural strategies for data storage, processing, and retrieval using Azure cloud services. Data Pipeline Development: ETL Processes: Design, develop, and maintain ETL processes to ingest, transform, and load data from various sources into Azure data services. Data Pipeline Construction: Build robust data pipelines using Azure Data Factory (ADF) to ensure smooth data flow and integration between different systems. Data Storage and Management: Data Lakehouse Management: Design, implement, and manage data-Warehouse/lake-houses on Azure, ensuring optimal performance, scalability, and cost-efficiency. Azure Synapse Analytics: Utilize Azure Synapse to develop, optimize, and manage data warehousing solutions for large-scale data analytics. Automation and Scripting: Python Automation: Develop and maintain Python scripts for automating data processing tasks and workflows. CI/CD Pipelines: GOOD to HAVE - Implement continuous integration and continuous deployment (CI/CD) pipelines for automated testing and deployment of data engineering solutions. Data Visualization and Reporting: Power BI Development : Design and create interactive dashboards and reports using Power BI to enable data-driven decision-making. End-User Support: Provide support and training to end-users for effective utilization of data visualization tools. Database Management: SQL Development: Write and optimize complex SQL queries for data extraction, transformation, and loading operations. Database Administration: Manage and administer Azure SQL databases, ensuring data integrity, security, and performance. Collaboration and Communication: Stakeholder Engagement: Collaborate with business stakeholders to understand data requirements and translate them into technical specifications. Cross-Functional Team Collaboration: Work closely with data scientists, analysts, and other engineering teams to deliver comprehensive data solutions. Performance Optimization: System Monitoring : Monitor data systems for performance, security, and reliability issues, and implement enhancements as needed. Troubleshooting and Problem Resolution: Identify and resolve data-related issues promptly to ensure the smooth operation of data processes. Documentation and Compliance: Documentation : Maintain comprehensive documentation for data models, pipelines, and processes to ensure knowledge sharing and continuity. Compliance and Security: Ensure all data solutions comply with organizational policies, industry standards, and regulatory requirements. Must-Have Skills Azure Data Services: ADF, Synapse, Data Lake, Azure SQL, DW Pool Databases: Azure SQL, MySQL, MariaDB Languages: Advanced SQL, Python Reporting: Power BI Data Engineering: ETL/ELT, pipelines, data modelling, performance optimization Communication: Strong UK client-facing communication and ability to clearly explain project role and contribution Good to Have Azure DevOps CI/CD pipeline experience Azure Functions Logic Apps Key Vault If interested to hear more about this role, please send your CV to (see below) with the best contact details to get connected for a quick discussion on the same. Regards, Mary Priscilina
22/07/2026
Full time
We are looking for a strong Azure Data Engineer with Power BI expertise who can manage end-to-end data engineering, reporting, and stakeholder-facing delivery. Data Engineer - London - Permanent Location: London (Onsite - 5 Days/Week) Role: Data Engineer Experience: 5-8 Years Job type: Permanent A strong Azure Data Engineer with hands-on experience in ADF, Synapse, Data Lake, Advanced SQL, Python, and Power BI . The candidate should be able to independently design data models, build pipelines, optimize SQL, create Power BI dashboards, and communicate clearly with stakeholders Data Modeling and Architecture: Design and Develop Data Models: Create and maintain scalable, efficient, and reliable data models to support Business Intelligence and analytics needs. Architectural Strategy: Develop and implement architectural strategies for data storage, processing, and retrieval using Azure cloud services. Data Pipeline Development: ETL Processes: Design, develop, and maintain ETL processes to ingest, transform, and load data from various sources into Azure data services. Data Pipeline Construction: Build robust data pipelines using Azure Data Factory (ADF) to ensure smooth data flow and integration between different systems. Data Storage and Management: Data Lakehouse Management: Design, implement, and manage data-Warehouse/lake-houses on Azure, ensuring optimal performance, scalability, and cost-efficiency. Azure Synapse Analytics: Utilize Azure Synapse to develop, optimize, and manage data warehousing solutions for large-scale data analytics. Automation and Scripting: Python Automation: Develop and maintain Python scripts for automating data processing tasks and workflows. CI/CD Pipelines: GOOD to HAVE - Implement continuous integration and continuous deployment (CI/CD) pipelines for automated testing and deployment of data engineering solutions. Data Visualization and Reporting: Power BI Development : Design and create interactive dashboards and reports using Power BI to enable data-driven decision-making. End-User Support: Provide support and training to end-users for effective utilization of data visualization tools. Database Management: SQL Development: Write and optimize complex SQL queries for data extraction, transformation, and loading operations. Database Administration: Manage and administer Azure SQL databases, ensuring data integrity, security, and performance. Collaboration and Communication: Stakeholder Engagement: Collaborate with business stakeholders to understand data requirements and translate them into technical specifications. Cross-Functional Team Collaboration: Work closely with data scientists, analysts, and other engineering teams to deliver comprehensive data solutions. Performance Optimization: System Monitoring : Monitor data systems for performance, security, and reliability issues, and implement enhancements as needed. Troubleshooting and Problem Resolution: Identify and resolve data-related issues promptly to ensure the smooth operation of data processes. Documentation and Compliance: Documentation : Maintain comprehensive documentation for data models, pipelines, and processes to ensure knowledge sharing and continuity. Compliance and Security: Ensure all data solutions comply with organizational policies, industry standards, and regulatory requirements. Must-Have Skills Azure Data Services: ADF, Synapse, Data Lake, Azure SQL, DW Pool Databases: Azure SQL, MySQL, MariaDB Languages: Advanced SQL, Python Reporting: Power BI Data Engineering: ETL/ELT, pipelines, data modelling, performance optimization Communication: Strong UK client-facing communication and ability to clearly explain project role and contribution Good to Have Azure DevOps CI/CD pipeline experience Azure Functions Logic Apps Key Vault If interested to hear more about this role, please send your CV to (see below) with the best contact details to get connected for a quick discussion on the same. Regards, Mary Priscilina
XYZ Reality is seeking a Data Scientist to turn construction data into valuable insights. In this hybrid role based in London, you will analyze data from complex construction projects and shape how XYZ positions itself in the market. The ideal candidate will have strong SQL skills, experience in the construction domain, and the ability to present data-driven narratives that support decision-making. Enjoy benefits like private healthcare, annual leave, and a collaborative work culture that embraces innovation.
22/07/2026
Full time
XYZ Reality is seeking a Data Scientist to turn construction data into valuable insights. In this hybrid role based in London, you will analyze data from complex construction projects and shape how XYZ positions itself in the market. The ideal candidate will have strong SQL skills, experience in the construction domain, and the ability to present data-driven narratives that support decision-making. Enjoy benefits like private healthcare, annual leave, and a collaborative work culture that embraces innovation.
Compare The Market Limited
Peterborough, Cambridgeshire
Function: Data & AI Solutions Location: Hybrid, London or Peterborough office Curious about what's next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we're a purpose-driven business powered by tech and AI. We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in. We'd love you to be part of our journey. Compare the Market is shifting from a business that answers data questions to one that builds the intelligence powering our AI platform - signals detected, decisions shaped, actions triggered. As a Senior Data Scientist in Data & AI Solutions, you will lead the design and build of models and pipelines at the heart of our AI platform - from understanding how hundreds of insurance partners price risk, to predicting which customers need a better deal, to powering personalisation. Your job is to build the systems that surface answersthatdon'tyet exist in the data. We want someone who thinks in systems, with curiosity across the modern data science stack and depth in at least one area. We are actively developing agentic AI and want a Senior Data Scientist ready to deepen theirexpertiseand contribute from a specific angle. You will lead by doing, raising the bar for those around you and working closely with ML engineering, product, and commercial colleagues. Some of the great things you'll be doing: Lead ML and analytics initiatives end-to-end, from exploration through to deployment and monitoring, collaborating with ML Engineers onproductionisation Translate business and customer problems into structured, measurable ML solutions Design and interpret experiments and A/B tests with scientific rigour Champion responsible, auditable AI - owning model performance in production, knowing when a system is degrading and how to address it, in a regulated financial services environment where precision and explainability matter Navigate the tooling landscape: knowing when classical ML is right, when an LLM adds value, when an agentic approach is needed Work with commercial, product, and engineering colleagues to scope and prioritise work, communicating outcomes clearly Mentor junior data scientists and contribute to standards across the wider Data & AI Solutions chapter What we'd like to see from you: The Essentials Proven experience delivering ML solutions with measurable business impact Strong Python and modelling fundamentals - supervised and unsupervised methods, statistical analysis, feature engineering A track recordof taking models to production and owning their performance: monitoring, degradation, retraining Ability to collaborate effectively with engineering teams on deployment and ML lifecycle Clear communication - able to make technical work legible to commercial and product audiences Highly Valued Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such asLangChainorLangGraph Familiarity with multi-step agentic AI patterns Experience in financial services or another regulated sector MLflow, model registries, or similar ML lifecycle tooling Exposure to cloud ML platforms - GCP Vertex AI, AWS SageMaker, or equivalent Why Compare the Market? We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you. Job Info Job Identification 100266 Job Category Data & Analytics Posting Date 06/18/2026, 08:56 AM Job Schedule Full time Locations London, United Kingdom Peterborough, Cambridgeshire, United Kingdom
22/07/2026
Full time
Function: Data & AI Solutions Location: Hybrid, London or Peterborough office Curious about what's next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we're a purpose-driven business powered by tech and AI. We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in. We'd love you to be part of our journey. Compare the Market is shifting from a business that answers data questions to one that builds the intelligence powering our AI platform - signals detected, decisions shaped, actions triggered. As a Senior Data Scientist in Data & AI Solutions, you will lead the design and build of models and pipelines at the heart of our AI platform - from understanding how hundreds of insurance partners price risk, to predicting which customers need a better deal, to powering personalisation. Your job is to build the systems that surface answersthatdon'tyet exist in the data. We want someone who thinks in systems, with curiosity across the modern data science stack and depth in at least one area. We are actively developing agentic AI and want a Senior Data Scientist ready to deepen theirexpertiseand contribute from a specific angle. You will lead by doing, raising the bar for those around you and working closely with ML engineering, product, and commercial colleagues. Some of the great things you'll be doing: Lead ML and analytics initiatives end-to-end, from exploration through to deployment and monitoring, collaborating with ML Engineers onproductionisation Translate business and customer problems into structured, measurable ML solutions Design and interpret experiments and A/B tests with scientific rigour Champion responsible, auditable AI - owning model performance in production, knowing when a system is degrading and how to address it, in a regulated financial services environment where precision and explainability matter Navigate the tooling landscape: knowing when classical ML is right, when an LLM adds value, when an agentic approach is needed Work with commercial, product, and engineering colleagues to scope and prioritise work, communicating outcomes clearly Mentor junior data scientists and contribute to standards across the wider Data & AI Solutions chapter What we'd like to see from you: The Essentials Proven experience delivering ML solutions with measurable business impact Strong Python and modelling fundamentals - supervised and unsupervised methods, statistical analysis, feature engineering A track recordof taking models to production and owning their performance: monitoring, degradation, retraining Ability to collaborate effectively with engineering teams on deployment and ML lifecycle Clear communication - able to make technical work legible to commercial and product audiences Highly Valued Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such asLangChainorLangGraph Familiarity with multi-step agentic AI patterns Experience in financial services or another regulated sector MLflow, model registries, or similar ML lifecycle tooling Exposure to cloud ML platforms - GCP Vertex AI, AWS SageMaker, or equivalent Why Compare the Market? We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you. Job Info Job Identification 100266 Job Category Data & Analytics Posting Date 06/18/2026, 08:56 AM Job Schedule Full time Locations London, United Kingdom Peterborough, Cambridgeshire, United Kingdom
Data Idols is working with a leading logistics company that's reshaping how operations, data, and technology come together. As part of their growth, they're hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies. This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence. The Opportunity Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms, heuristics, and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting. You'll collaborate cross-functionally with product and tech teams to bring models into production, writing production ready code and delivering end to end solutions. Benefits 25 days holiday + bank holidays, plus Christmas Eve off Private medical cover, enhanced sick pay, and in house gym Free breakfast, barista coffee, and Thursday social drinks Pension scheme with employer contributions Enhanced maternity leave Travel perks including Cycle to Work and EV scheme Be part of a high growth tech led logistics company that values innovation and impact Skills and Experience Experience building optimisation or ML models in logistics, transport, or consulting Expertise in Mixed Integer Programming, heuristics, approximate algorithms, constraint programming, or ML/DL Hands on with Python and SQL Domain knowledge in areas like routing, pricing, forecasting, or procurement planning Comfortable working in agile teams with a fast delivery mindset A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done If you're a data scientist who thrives on complex decision making problems and wants to make a tangible impact in a fast moving, tech led logistics business, we'd love to hear from you.
22/07/2026
Full time
Data Idols is working with a leading logistics company that's reshaping how operations, data, and technology come together. As part of their growth, they're hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies. This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence. The Opportunity Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms, heuristics, and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting. You'll collaborate cross-functionally with product and tech teams to bring models into production, writing production ready code and delivering end to end solutions. Benefits 25 days holiday + bank holidays, plus Christmas Eve off Private medical cover, enhanced sick pay, and in house gym Free breakfast, barista coffee, and Thursday social drinks Pension scheme with employer contributions Enhanced maternity leave Travel perks including Cycle to Work and EV scheme Be part of a high growth tech led logistics company that values innovation and impact Skills and Experience Experience building optimisation or ML models in logistics, transport, or consulting Expertise in Mixed Integer Programming, heuristics, approximate algorithms, constraint programming, or ML/DL Hands on with Python and SQL Domain knowledge in areas like routing, pricing, forecasting, or procurement planning Comfortable working in agile teams with a fast delivery mindset A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done If you're a data scientist who thrives on complex decision making problems and wants to make a tangible impact in a fast moving, tech led logistics business, we'd love to hear from you.
Function: Data & AI Solutions Location: Hybrid, London office Curious about what's next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we're a purpose-driven business powered by tech and AI. We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in. We'd love you to be part of our journey. Compare the Market is building AI systems that connect directly to how millions of people in the UK find and buy financial products - and as a Machine Learning Engineer, you will play an important role in making those systems production-ready. That means contributing to the engineering that takes ML models and AI capabilities from experimentation into reliable, scalable production use: the pipelines, the deployment tooling, the monitoring, and the shared components that make the whole thing work. This is a hands on role where you will grow your technical skills across a fast moving and expanding set of AI capabilities and systems. You will work closely with data scientists, engineers, and product teams - delivering well scoped ML and AI features, contributing to engineering standards, and building your understanding of what good looks like in a modern ML engineering function. Some of the great things you'll be doing: ML Engineering and AI Systems Deliver well scoped ML and AI system components end to end, from design through to testing, deployment, and production support Contribute hands on code to model packaging, deployment, and lifecycle automation Build and improve systems that monitor model performance, drift, reliability, and operational health Support both batch and real time ML workloads depending on use case requirements Work on emerging AI and LLM powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value Platform and Standards Contribute to the evolution of our internal ML and AI platform to support experimentation, governance, and collaboration Apply and help promote best practices for ML and AI system design, including reproducibility, testing, CI/CD, model and agent observability and evaluation Contribute to shared tools and libraries that accelerate safe, efficient, and scalable ML development Work closely with data scientists to help productionise experimental models and turn prototypes into robust services Contribute to code reviews, providing and receiving constructive feedback Participate in architecture and design discussions, raising considerations around scalability, reliability, and system interactions Culture and Innovation Contribute to a culture of engineering excellence, collaboration, and continuous learning Stay curious about emerging tools and approaches in MLOps and applied AI, and bring ideas for improvement to the team Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems What we'd like to see from you: The Essentials Some experience delivering ML or AI components in a production or near production environment Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code Familiarity with ML tooling and platforms such as Databricks, MLflow, Airflow, or equivalent Familiarity with CI/CD pipelines and how they apply to ML systems An understanding of ML lifecycle challenges - versioning, testing, monitoring, governance Good collaboration and communication skills, with an ability to work effectively across data science, engineering, and product teams Nice to Have Exposure to LLM based systems - for example prompt engineering, RAG, or orchestration frameworks such as LangGraph or LangChain Familiarity with multi step AI patterns - systems where models plan, retrieve information, and take sequences of actions Active personal use of AI assisted or agentic coding tools, and an interest in how similar patterns could be applied to automate and accelerate ML engineering workflows - candidates who are exploring this space, even at an early stage, are encouraged to talk about it Experience or interest in financial services, insurance, or another regulated sector Interest in responsible AI and ML model governance Why Compare the Market? We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you. Job Info Job Identification 100279 Job Category Data & Analytics Posting Date 06/19/2026, 08:48 AM Job Schedule Full time Locations White Collar Factory, London, London, EC1Y 8AF, GB
22/07/2026
Full time
Function: Data & AI Solutions Location: Hybrid, London office Curious about what's next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we're a purpose-driven business powered by tech and AI. We're building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. We've carved a meerkat-shaped niche and we're looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you'll fit right in. We'd love you to be part of our journey. Compare the Market is building AI systems that connect directly to how millions of people in the UK find and buy financial products - and as a Machine Learning Engineer, you will play an important role in making those systems production-ready. That means contributing to the engineering that takes ML models and AI capabilities from experimentation into reliable, scalable production use: the pipelines, the deployment tooling, the monitoring, and the shared components that make the whole thing work. This is a hands on role where you will grow your technical skills across a fast moving and expanding set of AI capabilities and systems. You will work closely with data scientists, engineers, and product teams - delivering well scoped ML and AI features, contributing to engineering standards, and building your understanding of what good looks like in a modern ML engineering function. Some of the great things you'll be doing: ML Engineering and AI Systems Deliver well scoped ML and AI system components end to end, from design through to testing, deployment, and production support Contribute hands on code to model packaging, deployment, and lifecycle automation Build and improve systems that monitor model performance, drift, reliability, and operational health Support both batch and real time ML workloads depending on use case requirements Work on emerging AI and LLM powered capabilities, helping integrate modern AI techniques into production systems where they can deliver real user value Platform and Standards Contribute to the evolution of our internal ML and AI platform to support experimentation, governance, and collaboration Apply and help promote best practices for ML and AI system design, including reproducibility, testing, CI/CD, model and agent observability and evaluation Contribute to shared tools and libraries that accelerate safe, efficient, and scalable ML development Work closely with data scientists to help productionise experimental models and turn prototypes into robust services Contribute to code reviews, providing and receiving constructive feedback Participate in architecture and design discussions, raising considerations around scalability, reliability, and system interactions Culture and Innovation Contribute to a culture of engineering excellence, collaboration, and continuous learning Stay curious about emerging tools and approaches in MLOps and applied AI, and bring ideas for improvement to the team Support responsible AI practices, contributing to explainability, auditability, and fairness in ML systems What we'd like to see from you: The Essentials Some experience delivering ML or AI components in a production or near production environment Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code Familiarity with ML tooling and platforms such as Databricks, MLflow, Airflow, or equivalent Familiarity with CI/CD pipelines and how they apply to ML systems An understanding of ML lifecycle challenges - versioning, testing, monitoring, governance Good collaboration and communication skills, with an ability to work effectively across data science, engineering, and product teams Nice to Have Exposure to LLM based systems - for example prompt engineering, RAG, or orchestration frameworks such as LangGraph or LangChain Familiarity with multi step AI patterns - systems where models plan, retrieve information, and take sequences of actions Active personal use of AI assisted or agentic coding tools, and an interest in how similar patterns could be applied to automate and accelerate ML engineering workflows - candidates who are exploring this space, even at an early stage, are encouraged to talk about it Experience or interest in financial services, insurance, or another regulated sector Interest in responsible AI and ML model governance Why Compare the Market? We're a business built for pace and performance. Here, you'll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we're committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you're ready to stretch yourself, raise the bar, and grow with a team that's serious about performance, innovation, and purpose, we'd love to hear from you. Job Info Job Identification 100279 Job Category Data & Analytics Posting Date 06/19/2026, 08:48 AM Job Schedule Full time Locations White Collar Factory, London, London, EC1Y 8AF, GB
Job title: Data Scientist - Construction Tech Location: London, UK (Hybrid - in-office 3 days per week) About XYZ Reality XYZ Reality are the creators of the world's first and only engineering grade Augmented Reality solution, purpose built for the construction industry. Not only have we created this holographic technology, that sits within The Atom - a smart, site safe headset/hardhat - but we implement it on projects, utilising the power of AR to ensure that all schemes are completed in line with delivery timescales and budgets. XYZ has grown to over 100 staff across the UK, US & Europe and is working with Mission Critical organisations & construction companies to successfully deliver major projects. The Role If you're buried in construction data or project controls, producing reports that rarely leave the business - this is your chance to do something bigger. At XYZ Reality, we're looking for a Construction Data Scientist who can turn project delivery data into commercial power. You'll work with data from some of the most complex hyperscale and mission critical construction projects in the world - uncovering trends and risk signals, and packaging them into insights that drive ABM campaigns, sales conversations, and market positioning. This is a pivotal role sitting at the intersection of delivery, revenue, and go to market. Your analysis won't sit in dashboards - it will shape how XYZ positions itself as the trusted intelligence layer for global construction. You'll need real construction domain knowledge, strong data skills, and the storytelling ability to make numbers move people. Key Responsibilities Query, extract, clean, and structure data from internal delivery systems using SQL and Python - running trend, variance, and comparative analysis across projects, packages, regions, and contractor delivery models to surface meaningful performance signals. Analyse delivery metrics at individual, portfolio, and global scale - including schedule performance, productivity trends, cost and risk signals, and change or rework patterns - going beyond what happened to explain why projects perform differently. Work directly with project managers, engineers, and delivery leads to translate on the ground activity into analysable data - asking the right questions, digging into anomalies, and building trust with operational teams by respecting site reality. Package insights into clear, compelling narratives for ABM campaigns, sales enablement materials, case studies, and executive and client facing content - positioning XYZ as the trusted insights partner for hyperscale and mission critical construction. Build repeatable analysis frameworks and scripts that enable continuous insight generation - moving from one off reports to a scalable insight engine that keeps pace with a rapidly growing global project portfolio. Collaborate with Marketing, Sales, and GTM teams to refine insight outputs based on campaign performance and commercial feedback - owning the insight narrative for the business and helping shape market positioning. Required Qualifications Professional background in construction, engineering, infrastructure, or project delivery - with hands on understanding of how projects actually run on site. Construction domain knowledge is non negotiable; you need to speak credibly with delivery teams and understand their data. Strong SQL skills (required) and ability to write scripts in Python, R, or similar - plus advanced spreadsheet skills (Excel / Google Sheets) and comfort working with messy, real world datasets that lack perfect schemas or documentation. Statistical and analytical thinking - able to identify trends, correlations, and outliers across time, geography, and project types, with a focus on interpretation and commercial implications, not just outputs. Proven ability to translate complex findings into simple, business relevant language and turn analysis into stories that support decision making and revenue. Experience supporting commercial, marketing, or GTM functions is a strong advantage. Key Experience & Skills Construction domain knowledge - project delivery, packages & site reality SQL (required) & Python / R scripting for data extraction & analysis Delivery performance analytics - schedule, productivity, cost & risk Data storytelling - turning insight into ABM, sales & exec narratives Cross functional collaboration - delivery, revenue & GTM teams Repeatable frameworks - scalable insight engines, not one off reports Benefits 25 days annual leave + public holidays Private healthcare with Vitality Christmas shutdown days on top of leave allowance (2-4 per year usually) Office located within a 5 minute walk from Angel station Hybrid working Biannual salary reviews Summer & Christmas staff parties Free lunch bought in and after work gathering/drinks every Thursday in the office Employee referral scheme Cycle to Work scheme Make a real world impact of revolutionising the construction industry
22/07/2026
Full time
Job title: Data Scientist - Construction Tech Location: London, UK (Hybrid - in-office 3 days per week) About XYZ Reality XYZ Reality are the creators of the world's first and only engineering grade Augmented Reality solution, purpose built for the construction industry. Not only have we created this holographic technology, that sits within The Atom - a smart, site safe headset/hardhat - but we implement it on projects, utilising the power of AR to ensure that all schemes are completed in line with delivery timescales and budgets. XYZ has grown to over 100 staff across the UK, US & Europe and is working with Mission Critical organisations & construction companies to successfully deliver major projects. The Role If you're buried in construction data or project controls, producing reports that rarely leave the business - this is your chance to do something bigger. At XYZ Reality, we're looking for a Construction Data Scientist who can turn project delivery data into commercial power. You'll work with data from some of the most complex hyperscale and mission critical construction projects in the world - uncovering trends and risk signals, and packaging them into insights that drive ABM campaigns, sales conversations, and market positioning. This is a pivotal role sitting at the intersection of delivery, revenue, and go to market. Your analysis won't sit in dashboards - it will shape how XYZ positions itself as the trusted intelligence layer for global construction. You'll need real construction domain knowledge, strong data skills, and the storytelling ability to make numbers move people. Key Responsibilities Query, extract, clean, and structure data from internal delivery systems using SQL and Python - running trend, variance, and comparative analysis across projects, packages, regions, and contractor delivery models to surface meaningful performance signals. Analyse delivery metrics at individual, portfolio, and global scale - including schedule performance, productivity trends, cost and risk signals, and change or rework patterns - going beyond what happened to explain why projects perform differently. Work directly with project managers, engineers, and delivery leads to translate on the ground activity into analysable data - asking the right questions, digging into anomalies, and building trust with operational teams by respecting site reality. Package insights into clear, compelling narratives for ABM campaigns, sales enablement materials, case studies, and executive and client facing content - positioning XYZ as the trusted insights partner for hyperscale and mission critical construction. Build repeatable analysis frameworks and scripts that enable continuous insight generation - moving from one off reports to a scalable insight engine that keeps pace with a rapidly growing global project portfolio. Collaborate with Marketing, Sales, and GTM teams to refine insight outputs based on campaign performance and commercial feedback - owning the insight narrative for the business and helping shape market positioning. Required Qualifications Professional background in construction, engineering, infrastructure, or project delivery - with hands on understanding of how projects actually run on site. Construction domain knowledge is non negotiable; you need to speak credibly with delivery teams and understand their data. Strong SQL skills (required) and ability to write scripts in Python, R, or similar - plus advanced spreadsheet skills (Excel / Google Sheets) and comfort working with messy, real world datasets that lack perfect schemas or documentation. Statistical and analytical thinking - able to identify trends, correlations, and outliers across time, geography, and project types, with a focus on interpretation and commercial implications, not just outputs. Proven ability to translate complex findings into simple, business relevant language and turn analysis into stories that support decision making and revenue. Experience supporting commercial, marketing, or GTM functions is a strong advantage. Key Experience & Skills Construction domain knowledge - project delivery, packages & site reality SQL (required) & Python / R scripting for data extraction & analysis Delivery performance analytics - schedule, productivity, cost & risk Data storytelling - turning insight into ABM, sales & exec narratives Cross functional collaboration - delivery, revenue & GTM teams Repeatable frameworks - scalable insight engines, not one off reports Benefits 25 days annual leave + public holidays Private healthcare with Vitality Christmas shutdown days on top of leave allowance (2-4 per year usually) Office located within a 5 minute walk from Angel station Hybrid working Biannual salary reviews Summer & Christmas staff parties Free lunch bought in and after work gathering/drinks every Thursday in the office Employee referral scheme Cycle to Work scheme Make a real world impact of revolutionising the construction industry
Technical Solutions Architect Role type: Permanent Location: UK / Remote As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia's ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. The Role You will be responsible for creating enterprise quality AI, ML, and Data Science based solutions. You will be involved in technology selection, API design, and establishing core patterns within our products and client projects. You will consider the functional and non functional requirements to inform these decisions and lead our development team in implementing them. You will work with our world class Data Science and Data Engineering teams to provide robust, high quality, performant cloud based solutions for our customers. This is not a role for someone who doesn't love development. Our technical architects are expected to prove solutions and contribute to the development team, as well as reviewing code and driving improvement to our development practice and processes. At the same time, you need to be a great communicator: the role includes direct interaction with our clients and business stakeholders, which are a mixture of technical and non technical audiences. The world of AI is evolving at a staggering pace, and we keep our knowledge fresh by continually looking for fresh technologies and sharing what we've learned. As an architect you would be expected to exemplify this both by bringing new ideas to our projects, but also listening to and assessing ideas from the team. What you'll be doing Creating enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Creating serverless solutions to execute data science and ML models Creating cloud IaC deployment code Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QA Engineers Understanding and relating customer/business needs to the technical solutions we create Liaising with the customer, product owners and business analysts to ensure that the work we are doing is correct and architecturally sound Making technology and approach choices to meet NFRs whilst delivering good value for money What we want from you Having an excellent understanding of Java, Typescript and/or Python, currently our core cloud languages Industry experience with an Infrastructure as Code platform (e.g. Cloudformation, Terraform) A strong understanding of both serverless development and containerisation approaches to deploying software to the cloud Having in depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Having a solid understanding of traditional Design Patterns and the ability to adapt these to the AI world Being a strong proponent for rigorous quality processes, automated testing and IaC principles Having excellent written, spoken and diagrammatic communication skills, with the ability to convey technical and abstract principles to technical and non technical audiences Experience of creating robust CI/CD pipelines that fully automate testing and release processes If you know some of this, even better A strong understanding of event driven architectures Working knowledge of Rust Experience with or knowledge of data engineering platforms and principles Experience with or knowledge of data science platforms and technologies What we Offer Benefits - enhanced pension, life assurance, income protection, private healthcare Remote working - cafe, bedroom, beach - wherever works Truly flexible working hours - school pick up, volunteering, gym Generous Leave - 27 days holiday plus bank holidays and enhanced family leave Annual bonus - when Satalia does well, we all do well Impactful projects - focus on bringing meaningful social and environmental change People oriented culture - wellbeing is a priority, as is being a nice person Transparent and open culture - you will be heard Development - focus on bringing the best out of each other Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you.
22/07/2026
Full time
Technical Solutions Architect Role type: Permanent Location: UK / Remote As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia's ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. The Role You will be responsible for creating enterprise quality AI, ML, and Data Science based solutions. You will be involved in technology selection, API design, and establishing core patterns within our products and client projects. You will consider the functional and non functional requirements to inform these decisions and lead our development team in implementing them. You will work with our world class Data Science and Data Engineering teams to provide robust, high quality, performant cloud based solutions for our customers. This is not a role for someone who doesn't love development. Our technical architects are expected to prove solutions and contribute to the development team, as well as reviewing code and driving improvement to our development practice and processes. At the same time, you need to be a great communicator: the role includes direct interaction with our clients and business stakeholders, which are a mixture of technical and non technical audiences. The world of AI is evolving at a staggering pace, and we keep our knowledge fresh by continually looking for fresh technologies and sharing what we've learned. As an architect you would be expected to exemplify this both by bringing new ideas to our projects, but also listening to and assessing ideas from the team. What you'll be doing Creating enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Creating serverless solutions to execute data science and ML models Creating cloud IaC deployment code Guiding a team of Optimisers, Data Scientists, Data Engineers, Cloud Engineers and QA Engineers Understanding and relating customer/business needs to the technical solutions we create Liaising with the customer, product owners and business analysts to ensure that the work we are doing is correct and architecturally sound Making technology and approach choices to meet NFRs whilst delivering good value for money What we want from you Having an excellent understanding of Java, Typescript and/or Python, currently our core cloud languages Industry experience with an Infrastructure as Code platform (e.g. Cloudformation, Terraform) A strong understanding of both serverless development and containerisation approaches to deploying software to the cloud Having in depth knowledge of at least one cloud platform (e.g. GCP, AWS, Azure), including an understanding of appropriate technologies for a given use case Experience writing enterprise quality solutions, with extensive experience and familiarity with how enterprise software solutions fit into a wider technical landscape Having a solid understanding of traditional Design Patterns and the ability to adapt these to the AI world Being a strong proponent for rigorous quality processes, automated testing and IaC principles Having excellent written, spoken and diagrammatic communication skills, with the ability to convey technical and abstract principles to technical and non technical audiences Experience of creating robust CI/CD pipelines that fully automate testing and release processes If you know some of this, even better A strong understanding of event driven architectures Working knowledge of Rust Experience with or knowledge of data engineering platforms and principles Experience with or knowledge of data science platforms and technologies What we Offer Benefits - enhanced pension, life assurance, income protection, private healthcare Remote working - cafe, bedroom, beach - wherever works Truly flexible working hours - school pick up, volunteering, gym Generous Leave - 27 days holiday plus bank holidays and enhanced family leave Annual bonus - when Satalia does well, we all do well Impactful projects - focus on bringing meaningful social and environmental change People oriented culture - wellbeing is a priority, as is being a nice person Transparent and open culture - you will be heard Development - focus on bringing the best out of each other Satalia is home to some of the brightest minds in AI and if you're looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we'd love to hear from you.
Compare The Market is seeking a Machine Learning Engineer to join their London office. In this hybrid role, you'll deliver end-to-end ML components, contribute to engineering standards, and work closely with data scientists and engineers. Your technical skills will grow as you contribute to AI systems that impact millions. We value collaboration and innovation, providing a workplace where diverse teams thrive. Join us in improving financial decision-making for our customers through impactful AI solutions.
22/07/2026
Full time
Compare The Market is seeking a Machine Learning Engineer to join their London office. In this hybrid role, you'll deliver end-to-end ML components, contribute to engineering standards, and work closely with data scientists and engineers. Your technical skills will grow as you contribute to AI systems that impact millions. We value collaboration and innovation, providing a workplace where diverse teams thrive. Join us in improving financial decision-making for our customers through impactful AI solutions.
Senior Data Scientist & Machine Learning Researcher Benefits £:Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. Cyber Our National Security Cyber business delivers mission critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today. What You Will Do Raytheon UK has a perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG). As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. The Strategic Research Group (SRG) is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. You can be based with our Gloucester, Manchester or London team, working in a hybrid capacity (average of 3 days a week on-site). You must already hold or be able to gain SC clearance (on Day 1) and eDV clearance (once started). Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Mentor more junior team members within their project team and the wider SRG. Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery. Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high quality scientific writing for internal & external stakeholders as well as academic publications. Experience of mentoring other team members and undertaking technical leadership on small projects or sub parts of larger deliveries. Desirable Skills & Experience PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, preferably AWS but also GCP or Azure. Research publications in peer reviewed journals. Experience of writing technical project proposals RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
22/07/2026
Full time
Senior Data Scientist & Machine Learning Researcher Benefits £:Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Company bonus scheme (discretionary) Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others Enhanced sick pay Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team. Cyber Our National Security Cyber business delivers mission critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today. What You Will Do Raytheon UK has a perm opportunity for a Senior Data Scientist and Machine Learning Researcher to join our Strategic Research Group (SRG). As a Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. The Strategic Research Group (SRG) is a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. You can be based with our Gloucester, Manchester or London team, working in a hybrid capacity (average of 3 days a week on-site). You must already hold or be able to gain SC clearance (on Day 1) and eDV clearance (once started). Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Generate ideas for new research directions and provide technical leadership in small project groups. Mentor more junior team members within their project team and the wider SRG. Work with customers and internal stakeholders, with varied technical knowledge, to determine appropriate technical approaches and do the technical development required for delivery. Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high quality scientific writing for internal & external stakeholders as well as academic publications. Experience of mentoring other team members and undertaking technical leadership on small projects or sub parts of larger deliveries. Desirable Skills & Experience PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker) Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, preferably AWS but also GCP or Azure. Research publications in peer reviewed journals. Experience of writing technical project proposals RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
A leading tech firm in Greater London is seeking a specialist to architect automated evaluation pipelines for high-quality answers. The ideal candidate must possess a PhD or MS in a technical field and have at least 4 years of experience in data science or machine learning. You should be proficient in Python and SQL and comfortable with AWS and Databricks. This role will require you to design evaluation sets to improve overall answer quality and contribute to product changes based on evaluation metrics.
22/07/2026
Full time
A leading tech firm in Greater London is seeking a specialist to architect automated evaluation pipelines for high-quality answers. The ideal candidate must possess a PhD or MS in a technical field and have at least 4 years of experience in data science or machine learning. You should be proficient in Python and SQL and comfortable with AWS and Databricks. This role will require you to design evaluation sets to improve overall answer quality and contribute to product changes based on evaluation metrics.
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We are seeking a Senior Business Analyst to drive early stage exploration, hypothesis development, and rapid analytical prototyping that informs high impact business decisions across PlayStation's Services organization. Services sits within the Global Sales and Business Operations organization that manages the PlayStation Plus subscription business, a key revenue generator and innovator for Sony Interactive Entertainment. This role sits at the intersection of business, analytics, and data science, and is responsible for shaping ambiguous problems into structured analytical approaches during the early phases of the analytics lifecycle. The Senior Business Analyst partners closely with Integrated Services Leadership, Analytics Partners, Product Managers, and Data Scientists to ensure that the right problems are identified, framed, and prepared for deeper experimentation and modeling. This role is critical to accelerating the front end of the analytics pipeline, ensuring that high value opportunities are identified quickly and translated into actionable analytical work that directly impact decisions made about the offers and experience made available to PlayStation Plus members. Key Responsibilities Lead early stage exploration of business problems, identifying high impact opportunities through data analysis and stakeholder engagement. Develop clear hypotheses and analytical approaches to guide experimentation and modeling. Translate ambiguous business questions into structured problem statements. Explore opportunities to improve PS Plus performance, subscriber engagement, and commercial outcomes through data driven analysis. Conduct rapid analyses and build lightweight prototypes to assess feasibility and potential impact. Leverage existing data and frameworks to generate directional insights and inform decision making. Iterate quickly to refine hypotheses and narrow focus areas. Develop exploratory analytical frameworks that support PS Plus performance assessment, content investment decisions, and ecosystem intelligence. Partner with Integrated Analytics Partners, Services leadership, Services Insights and Planning, and cross functional stakeholders to understand strategic priorities and refine business problems. Communicate insights clearly and effectively to both technical and non technical audiences. Gather feedback and incorporate it into ongoing analysis. Collaborate with Data Scientists and Product Managers to transition validated opportunities into structured experimentation and modeling. Ensure work entering the next phase is well defined and aligned to business objectives. Provide context and analytical groundwork to support downstream teams. Develop repeatable analytical approaches and templates for common problem types. Contribute to improving how early stage analytics work is conducted within and across teams. Help establish scalable analytical approaches, reusable frameworks, and AI enabled workflows that improve how Services supports commercial decision making. Qualifications Bachelor's degree in Business, Data Science, Computer Science, or a related field. 8+ years of experience in analytics, data science, or a related field. Strong analytical and problem solving skills, with experience working on ambiguous business problems. Experience conducting exploratory analysis, hypothesis development, and data driven storytelling. Proficiency in analytical tools such as SQL, Python, R, or similar. Demonstrated ability or strong willingness to leverage AI enabled tools (e.g., generative or agentic AI) to enhance analytical workflows, accelerate insight generation, and improve decision support. Experience working with cross functional stakeholders and translating business needs into analytical work. Experience with experimentation concepts (A/B testing, causal inference) or forecasting and scenario modeling. Strong communication and storytelling skills, with the ability to influence decisions through data. Ability to operate in fast paced environments and manage multiple exploratory initiatives. Familiarity with data science workflows and collaboration with modeling teams. Experience developing reusable analytical approaches or frameworks. Equal Opportunity Statement Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
22/07/2026
Full time
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We are seeking a Senior Business Analyst to drive early stage exploration, hypothesis development, and rapid analytical prototyping that informs high impact business decisions across PlayStation's Services organization. Services sits within the Global Sales and Business Operations organization that manages the PlayStation Plus subscription business, a key revenue generator and innovator for Sony Interactive Entertainment. This role sits at the intersection of business, analytics, and data science, and is responsible for shaping ambiguous problems into structured analytical approaches during the early phases of the analytics lifecycle. The Senior Business Analyst partners closely with Integrated Services Leadership, Analytics Partners, Product Managers, and Data Scientists to ensure that the right problems are identified, framed, and prepared for deeper experimentation and modeling. This role is critical to accelerating the front end of the analytics pipeline, ensuring that high value opportunities are identified quickly and translated into actionable analytical work that directly impact decisions made about the offers and experience made available to PlayStation Plus members. Key Responsibilities Lead early stage exploration of business problems, identifying high impact opportunities through data analysis and stakeholder engagement. Develop clear hypotheses and analytical approaches to guide experimentation and modeling. Translate ambiguous business questions into structured problem statements. Explore opportunities to improve PS Plus performance, subscriber engagement, and commercial outcomes through data driven analysis. Conduct rapid analyses and build lightweight prototypes to assess feasibility and potential impact. Leverage existing data and frameworks to generate directional insights and inform decision making. Iterate quickly to refine hypotheses and narrow focus areas. Develop exploratory analytical frameworks that support PS Plus performance assessment, content investment decisions, and ecosystem intelligence. Partner with Integrated Analytics Partners, Services leadership, Services Insights and Planning, and cross functional stakeholders to understand strategic priorities and refine business problems. Communicate insights clearly and effectively to both technical and non technical audiences. Gather feedback and incorporate it into ongoing analysis. Collaborate with Data Scientists and Product Managers to transition validated opportunities into structured experimentation and modeling. Ensure work entering the next phase is well defined and aligned to business objectives. Provide context and analytical groundwork to support downstream teams. Develop repeatable analytical approaches and templates for common problem types. Contribute to improving how early stage analytics work is conducted within and across teams. Help establish scalable analytical approaches, reusable frameworks, and AI enabled workflows that improve how Services supports commercial decision making. Qualifications Bachelor's degree in Business, Data Science, Computer Science, or a related field. 8+ years of experience in analytics, data science, or a related field. Strong analytical and problem solving skills, with experience working on ambiguous business problems. Experience conducting exploratory analysis, hypothesis development, and data driven storytelling. Proficiency in analytical tools such as SQL, Python, R, or similar. Demonstrated ability or strong willingness to leverage AI enabled tools (e.g., generative or agentic AI) to enhance analytical workflows, accelerate insight generation, and improve decision support. Experience working with cross functional stakeholders and translating business needs into analytical work. Experience with experimentation concepts (A/B testing, causal inference) or forecasting and scenario modeling. Strong communication and storytelling skills, with the ability to influence decisions through data. Ability to operate in fast paced environments and manage multiple exploratory initiatives. Familiarity with data science workflows and collaboration with modeling teams. Experience developing reusable analytical approaches or frameworks. Equal Opportunity Statement Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Data EngineeringApplyremote type: Hybridlocations: London, UKtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR101610This role will focus on enhancing and maintaining data pipelines to process financial and ESG data. What this role will do: • Design, build, and maintain robust data pipelines using tools like Snowflake, Dagster, and SQL to process financial, climate, and ESG datasets at scale. Ensure pipelines are efficient, reliable, and capable of handling terabytes of data. • Collaborate with Climate Risk modeling team to integrate advanced economic models into production environments. Leverage automation tools like GitHub to streamline deployment and ensure rapid iteration. • Uphold high technical standards by implementing best practices in coding, testing, and documentation. Regularly review and improve the existing codebase to incorporate innovation and new learnings. • Work within an agile framework to prioritize tasks, manage time effectively, and align with team goals. Act as a proactive contributor to cross-functional collaboration with data scientists, analysts, and other stakeholders. Skills required: • Degree in computer science, engineering, mathematics, quantitative methods or related field. • Substantial experience in developing and maintaining production-level data pipelines. • Strong command of Python, with a focus on writing clean, efficient, and production-ready code. • Strong SQL expertise, with experience of relational databases such as PostgreSQL or Snowflake. • Substantial experience with core AWS products such as EC2, ECS, Lambda and RDS. • Familiarity with data orchestration technologies such as Dagster, or a strong desire to learn. • Familiarity with DBT or similar tools for data transformation, or a strong desire to learn. • Passion for automation, with experience in containerisation (e.g. Docker), shell scripting, and continuous integration/continuous deployment (CI/CD) pipelines. • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, peer code reviews, version control, build processes, testing, and deployment. • Excellent written and verbal communication skills.Commitment to create positive environmental value for our clients across sectors, helping them shape the future of their sustainability transition About us SLR are global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals. We are a consultancy with 4500+ employees across 6 regions in over 125 countries. Our 'one team' culture is at the heart of our business, providing a collaborative and supportive environment for professional development. Culture & Inclusion at SLR We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation. Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive.We welcome applications from all individuals, regardless of their background, including those from groups that are currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with visible or invisible disabilities, including those who are neurodivergent.
22/07/2026
Full time
Data EngineeringApplyremote type: Hybridlocations: London, UKtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR101610This role will focus on enhancing and maintaining data pipelines to process financial and ESG data. What this role will do: • Design, build, and maintain robust data pipelines using tools like Snowflake, Dagster, and SQL to process financial, climate, and ESG datasets at scale. Ensure pipelines are efficient, reliable, and capable of handling terabytes of data. • Collaborate with Climate Risk modeling team to integrate advanced economic models into production environments. Leverage automation tools like GitHub to streamline deployment and ensure rapid iteration. • Uphold high technical standards by implementing best practices in coding, testing, and documentation. Regularly review and improve the existing codebase to incorporate innovation and new learnings. • Work within an agile framework to prioritize tasks, manage time effectively, and align with team goals. Act as a proactive contributor to cross-functional collaboration with data scientists, analysts, and other stakeholders. Skills required: • Degree in computer science, engineering, mathematics, quantitative methods or related field. • Substantial experience in developing and maintaining production-level data pipelines. • Strong command of Python, with a focus on writing clean, efficient, and production-ready code. • Strong SQL expertise, with experience of relational databases such as PostgreSQL or Snowflake. • Substantial experience with core AWS products such as EC2, ECS, Lambda and RDS. • Familiarity with data orchestration technologies such as Dagster, or a strong desire to learn. • Familiarity with DBT or similar tools for data transformation, or a strong desire to learn. • Passion for automation, with experience in containerisation (e.g. Docker), shell scripting, and continuous integration/continuous deployment (CI/CD) pipelines. • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, peer code reviews, version control, build processes, testing, and deployment. • Excellent written and verbal communication skills.Commitment to create positive environmental value for our clients across sectors, helping them shape the future of their sustainability transition About us SLR are global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals. We are a consultancy with 4500+ employees across 6 regions in over 125 countries. Our 'one team' culture is at the heart of our business, providing a collaborative and supportive environment for professional development. Culture & Inclusion at SLR We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation. Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive.We welcome applications from all individuals, regardless of their background, including those from groups that are currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with visible or invisible disabilities, including those who are neurodivergent.
Funding Circle Ltd. is seeking an Analytics Engineer in London (Hybrid) to shape data foundations for high growth areas. You will join our central data team and work closely with Analysts and Data Scientists to power reporting and self-serve analytics. You will own dbt models, collaborate across teams, and help transform data into actionable insights while advancing our ML and AI capabilities. This role offers a flexible-first, office-in-London environment with two days in the office.
22/07/2026
Full time
Funding Circle Ltd. is seeking an Analytics Engineer in London (Hybrid) to shape data foundations for high growth areas. You will join our central data team and work closely with Analysts and Data Scientists to power reporting and self-serve analytics. You will own dbt models, collaborate across teams, and help transform data into actionable insights while advancing our ML and AI capabilities. This role offers a flexible-first, office-in-London environment with two days in the office.
Job Description We're looking for an ambitious Business Development Manager to drive new customer acquisition and revenue growth. This is a hands on, quota carrying sales role focused on identifying, qualifying and winning new business. You'll work closely with the CEO, applications scientists and engineering team to help customers solve challenging imaging and inspection problems using SenseAI's software. For the right person, this role offers a clear pathway into senior commercial leadership as the company grows. SenseAI develops AI powered computational imaging software that dramatically improves the speed, sensitivity and information content of scientific and industrial imaging systems. It's a deep tech spin out from the University of Liverpool. Our software enables customers to acquire higher quality data faster (10 ) using existing hardware, helping accelerate inspection and research across semiconductor manufacturing, advanced materials and scientific imaging. We have customers all over the world and are now moving the business to the next level. Responsibilities Generate and qualify new business opportunities through proactive outbound sales. Build, manage and convert a healthy sales pipeline. Lead technical sales discussions with industrial and scientific customers. Deliver presentations, demonstrations and commercial proposals. Negotiate and close software licence agreements. Work with our technical team to deliver successful customer evaluations. Grow long term customer relationships and develop existing accounts. Represent SenseAI at customer visits, conferences and industry events. Capture market feedback to help shape future products and commercial strategy. Preferred Qualifications Essential Proven success in B2B new business sales. Experience selling into scientific and/or industrial imaging, analytical instrumentation, metrology, semiconductor, or related technology markets. A proactive, self starting attitude with a strong work ethic and desire to win. Excellent communication, presentation and relationship building skills. Strong organisational and pipeline management skills. Comfortable learning complex technical products and engaging with scientific customers. Degree (or equivalent experience) in science, engineering or another technical discipline. Enthusiasm for working in a fast paced startup where you'll have significant responsibility and influence. Desirable Experience selling into semiconductor manufacturing. Experience with electron microscopy, spectroscopy, X ray, optical imaging or other advanced characterisation techniques. Experience selling AI, software or computational imaging solutions. Previous experience in a startup or high growth technology company. Who You'll Be You're ambitious, commercially driven and naturally curious. You enjoy opening doors, winning new business and building long term customer relationships. You're comfortable working with technically sophisticated customers, thrive in a startup environment and want to help build a world class commercial organisation. While experience in electron microscopy is advantageous, we're equally interested in candidates with experience in other scientific or industrial imaging technologies who have the drive and ability to learn quickly. Full time, Hybrid (UK) with regular travel to our Liverpool HQ and customer sites. Competitive basic salary plus uncapped commission, with significant career progression and equity potential.
22/07/2026
Full time
Job Description We're looking for an ambitious Business Development Manager to drive new customer acquisition and revenue growth. This is a hands on, quota carrying sales role focused on identifying, qualifying and winning new business. You'll work closely with the CEO, applications scientists and engineering team to help customers solve challenging imaging and inspection problems using SenseAI's software. For the right person, this role offers a clear pathway into senior commercial leadership as the company grows. SenseAI develops AI powered computational imaging software that dramatically improves the speed, sensitivity and information content of scientific and industrial imaging systems. It's a deep tech spin out from the University of Liverpool. Our software enables customers to acquire higher quality data faster (10 ) using existing hardware, helping accelerate inspection and research across semiconductor manufacturing, advanced materials and scientific imaging. We have customers all over the world and are now moving the business to the next level. Responsibilities Generate and qualify new business opportunities through proactive outbound sales. Build, manage and convert a healthy sales pipeline. Lead technical sales discussions with industrial and scientific customers. Deliver presentations, demonstrations and commercial proposals. Negotiate and close software licence agreements. Work with our technical team to deliver successful customer evaluations. Grow long term customer relationships and develop existing accounts. Represent SenseAI at customer visits, conferences and industry events. Capture market feedback to help shape future products and commercial strategy. Preferred Qualifications Essential Proven success in B2B new business sales. Experience selling into scientific and/or industrial imaging, analytical instrumentation, metrology, semiconductor, or related technology markets. A proactive, self starting attitude with a strong work ethic and desire to win. Excellent communication, presentation and relationship building skills. Strong organisational and pipeline management skills. Comfortable learning complex technical products and engaging with scientific customers. Degree (or equivalent experience) in science, engineering or another technical discipline. Enthusiasm for working in a fast paced startup where you'll have significant responsibility and influence. Desirable Experience selling into semiconductor manufacturing. Experience with electron microscopy, spectroscopy, X ray, optical imaging or other advanced characterisation techniques. Experience selling AI, software or computational imaging solutions. Previous experience in a startup or high growth technology company. Who You'll Be You're ambitious, commercially driven and naturally curious. You enjoy opening doors, winning new business and building long term customer relationships. You're comfortable working with technically sophisticated customers, thrive in a startup environment and want to help build a world class commercial organisation. While experience in electron microscopy is advantageous, we're equally interested in candidates with experience in other scientific or industrial imaging technologies who have the drive and ability to learn quickly. Full time, Hybrid (UK) with regular travel to our Liverpool HQ and customer sites. Competitive basic salary plus uncapped commission, with significant career progression and equity potential.
Overview At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle-from acquisition and onboarding through to retention, monetisation, and long term value. As a Data Scientist you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value. Responsibilities Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, and customer lifetime value. Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact. Work with large scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement. Collaborate within cross functional teams-including engineering, product, and commercial stakeholders-to ensure solutions are robust, scalable, and aligned with business needs. Partner with stakeholders across commercial, finance, and lifecycle teams to support decision making with data driven insights. Clearly communicate findings and recommendations to both technical and non technical audiences. Develop and expand your understanding of advanced modelling approaches (e.g., deep learning and sequence based methods) as part of solving increasingly complex problems. Qualifications Curious, analytical, and strong problem solver with a structured approach to tackling business problems. Strong foundations in modelling and data manipulation, and motivated by applying these to impactful, commercial problems. Experience building predictive models (e.g., churn, propensity, segmentation, or value modelling) in a commercial setting. Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership. Proficiency in Python and SQL, and familiarity with common data science and machine learning libraries. Solid understanding of machine learning techniques (e.g., regression, tree based models, clustering) and when to apply them, including how to refine and tune them for real world problems. Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross functional stakeholders. Awareness of modern machine learning approaches (e.g., embeddings, sequence models, deep learning) and interest in applying them to real world problems. Experience working with large datasets to generate actionable insights. A strong academic background, typically a Master's or Ph.D. in a quantitative or technical field (e.g., Mathematics, Statistics, Computer Science). Preferred Qualifications Familiarity with production environments, MLOps, or data pipelines. Experience working with large scale data using PySpark or equivalent distributed data processing tools. Experience in gaming, e commerce, or subscription based products. Benefits Discretionary bonus opportunity Private medical insurance Dental scheme 25 days holiday per year On site gym Subsidised café, free soft drinks, on site bar Access to cycle garage and showers Equal Opportunity Statement All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
22/07/2026
Full time
Overview At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle-from acquisition and onboarding through to retention, monetisation, and long term value. As a Data Scientist you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value. Responsibilities Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, and customer lifetime value. Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact. Work with large scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement. Collaborate within cross functional teams-including engineering, product, and commercial stakeholders-to ensure solutions are robust, scalable, and aligned with business needs. Partner with stakeholders across commercial, finance, and lifecycle teams to support decision making with data driven insights. Clearly communicate findings and recommendations to both technical and non technical audiences. Develop and expand your understanding of advanced modelling approaches (e.g., deep learning and sequence based methods) as part of solving increasingly complex problems. Qualifications Curious, analytical, and strong problem solver with a structured approach to tackling business problems. Strong foundations in modelling and data manipulation, and motivated by applying these to impactful, commercial problems. Experience building predictive models (e.g., churn, propensity, segmentation, or value modelling) in a commercial setting. Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership. Proficiency in Python and SQL, and familiarity with common data science and machine learning libraries. Solid understanding of machine learning techniques (e.g., regression, tree based models, clustering) and when to apply them, including how to refine and tune them for real world problems. Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross functional stakeholders. Awareness of modern machine learning approaches (e.g., embeddings, sequence models, deep learning) and interest in applying them to real world problems. Experience working with large datasets to generate actionable insights. A strong academic background, typically a Master's or Ph.D. in a quantitative or technical field (e.g., Mathematics, Statistics, Computer Science). Preferred Qualifications Familiarity with production environments, MLOps, or data pipelines. Experience working with large scale data using PySpark or equivalent distributed data processing tools. Experience in gaming, e commerce, or subscription based products. Benefits Discretionary bonus opportunity Private medical insurance Dental scheme 25 days holiday per year On site gym Subsidised café, free soft drinks, on site bar Access to cycle garage and showers Equal Opportunity Statement All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.
22/07/2026
Full time
User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.
Raytheon UK is recruiting a Senior Data Scientist and Machine Learning Researcher to lead AI/ML projects from scoping to delivery within the Strategic Research Group. Based in Gloucester, Manchester or London with hybrid on-site averaging 3 days per week, the role requires SC and eDV clearances and involves mentoring, research leadership, and collaboration with customers and internal teams.
22/07/2026
Full time
Raytheon UK is recruiting a Senior Data Scientist and Machine Learning Researcher to lead AI/ML projects from scoping to delivery within the Strategic Research Group. Based in Gloucester, Manchester or London with hybrid on-site averaging 3 days per week, the role requires SC and eDV clearances and involves mentoring, research leadership, and collaboration with customers and internal teams.
User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.
22/07/2026
Full time
User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.
Sony Interactive Entertainment in London is seeking an accomplished Data Scientist to build models that drive churn reduction, personalised recommendations, and value optimization across PlayStation services. You will work with cross functional teams to translate business questions into scalable ML solutions, using Python/SQL and modern ML tooling, with ownership from problem framing to solution delivery.
22/07/2026
Full time
Sony Interactive Entertainment in London is seeking an accomplished Data Scientist to build models that drive churn reduction, personalised recommendations, and value optimization across PlayStation services. You will work with cross functional teams to translate business questions into scalable ML solutions, using Python/SQL and modern ML tooling, with ownership from problem framing to solution delivery.
Sony Interactive Entertainment in London seeks a Data Scientist to develop models and insights that drive personalised player experiences and commercial decisions at scale. You will work with cross-functional teams to translate player behavior into actionable strategies and help shape engagement and value. You will apply advanced modelling, including deep learning and sequence-based methods, and communicate findings to diverse audiences across the business.
22/07/2026
Full time
Sony Interactive Entertainment in London seeks a Data Scientist to develop models and insights that drive personalised player experiences and commercial decisions at scale. You will work with cross-functional teams to translate player behavior into actionable strategies and help shape engagement and value. You will apply advanced modelling, including deep learning and sequence-based methods, and communicate findings to diverse audiences across the business.
