Straive is a global leader in enterprise-grade dataanalytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit. Our core focus is on delivering advanced DataAnalytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust dataanalytics and AI capabilities. With a client base spanning 30 countries … headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective. Join Straive to be part of a dynamic team at the forefront of dataanalytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with More ❯
Straive is a global leader in enterprise-grade dataanalytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit. Our core focus is on delivering advanced DataAnalytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust dataanalytics and AI capabilities. With a client base spanning 30 countries … headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective. Join Straive to be part of a dynamic team at the forefront of dataanalytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with More ❯
DataAnalytics Engineer Contract Role Inside IR35 | 475-500/day | Remote | Initial 6 Months | Extension Likely We have a new DataAnalytics Engineer contract opportunity a customer of ours, supporting their Global Operations and Customer Service teams. This role is remote-first, with the very odd occasional travel to Newcastle. The initial contract is … months, with strong potential to extend. Were looking for someone with a strong technical foundation and a deep understanding of operational data needs - especially around workforce planning and customer service analytics. Key Responsibilities: Build and maintain scalable data pipelines and datasets using ELT/ETL best practices Deliver high-quality insights through reporting and analytics Partner with … stakeholders to define and implement BI solutions Ensure data quality, system reliability, and performance Support production environments and month-end processing Communicate complex insights to technical and non-technical audiences Tech Stack: Snowflake Python Fivetran Azure/AWS Salesforce CRM (preferred) Ideal Candidate: 5+ years in BI, DataAnalytics, or Data Engineering Experience supporting Ops and More ❯
A leading AI solution provider is seeking an experienced BI Developer to join their growing team. You'll be responsible for designing, building and optimising BI and data solutions that'll power next gen AI-driven platforms and client analytics. Key Responsibilities Design and deliver end-to-end business intelligence (BI) solutions using Power BI and Azure data services. Develop and maintain robust ETL pipelines, data models, and analytical frameworks. Partner with engineering, delivery, and client teams to architect scalable and efficient BI systems. Ensure high standards of data quality, accuracy, and governance across internal and client datasets. Build insightful dashboards, reports, and data visualisations that enable data-driven decision-making. Support AI … transformation initiatives through data analysis, telemetry insights, and performance monitoring. Contribute to pre-sales activities, including solution demonstrations, proposal development, and technical estimations. Research and assess emerging BI and AI technologies to drive innovation and enhance data capabilities. Required Skills and Experience 5+ years of experience in dataanalytics or business intelligence development. Strong proficiency with More ❯
Angular | Azure | SQL | Microservices Remote-first | 5070k + Benefits Were looking for 2 x Full Stack Developer to join a fast-growing startup brand that work in the sports dataanalytics space. Youll work across a modern tech stack, collaborate with Product, Data and Client teams, and play a hands-on role in rebuilding and evolving their … from a monolith to microservices and drive UI/UX improvements. Work closely with Product leadership to design well-architected, scalable systems. Build and maintain third-party integrations (APIs, data pipelines). Take ownership of code quality, peer reviews, and documentation. Contribute ideas, challenge assumptions, and help shape future architecture. What were looking for 5+ years experience with C# … plus). Experience with Azure , CI/CD pipelines, and SQL Server. Confident communicator with solid problem-solving and analytical thinking. Enjoys autonomy but thrives in collaboration. Curious about data, analytics, and how tech can drive participation in sport. Why join Remote-first , with flexibility to work from anywhere Competitive salary (5070k) + share options. Wellness & fitness allowance More ❯
ML Ops Engineer Remote (Occasional London Meetups) | Full-Time, Permanent | UK Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful dataanalytics projects in the pensions advisory space. About the Role Youll be part of a forward-thinking analytics team that supports over 1,400 pension schemes and delivers insights using advanced technology and data science. We value innovation, collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must … have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure Data Factory (ADF) . ML Ops : Implement CI/CD workflows, monitor model performance, and manage retraining pipelines. Python Development : Write More ❯
Science to build tools that help participants across our platform make more informed decisions about selecting, pricing, and managing specialty insurance risk. This role sits at the intersection of data science, engineering, insurance, and product thinking - and plays a critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve … models to support risk selection, pricing, aggregation monitoring, catastrophe response and portfolio management. Partner with Product Design and Decision Science teams to explore, test, and validate product ideas through data and user insights. Execution & Delivery Own the roadmap for risk scoring, aggregation monitoring, and geo-analytics tools. Translate model outputs into scalable product features that provide value to … capabilities. Partner with MGA Members, Member Relationship Directors, and Risk Capital partners to deeply understand their needs and translate those into product opportunities. Collaborate with actuaries, underwriters, engineers, and data scientists across Accelerant to ensure solutions are feasible, scalable, and effective. Co-create with Product Design to shape intuitive workflows, test product concepts, and improve usability through iteration. Champion More ❯
