This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect, implement, and optimize Kubernetes-based platforms and HPC systems.
This role involves owning full-solution validation, minimizing time to production, and ensuring Day 2 stability for large-scale GPU clusters. You will work closely with customers, partners, and cross-functional teams to architect and implement Kubernetes-based platforms, automate processes, and provide consultative guidance across the entire stack.
This role involves working in a growing data and analytics team, delivering insights and analysis that support data-driven marketing and commercial decisions. You will build and apply predictive models, prepare and manipulate data, and translate findings into clear stories for various stakeholders.
This role involves designing and developing customer-focused data science solutions, taking models from problem definition to deployment and monitoring. You will work closely with stakeholders to translate business questions into robust modelling approaches and partner with engineers and analysts to productionise models.
You will lead and support the delivery of AI, GenAI, and data science projects, working closely with clients to understand their business challenges and deliver innovative solutions. Your role involves applying modern data science techniques, collaborating with multidisciplinary teams, and contributing to business growth through proposals and thought leadership.
This role involves leading the design and delivery of modern data and AI solutions within complex transformation programmes for enterprise clients. The candidate will architect end-to-end data platforms, integrate AI/ML capabilities, and ensure robust data governance across cloud and legacy systems. A key focus is bridging technical data architecture with business strategy while advising senior stakeholders.
The Finance Data Scientist will work closely with the Finance and Analytics Engineering teams to ensure accurate financial reporting, forecasting, and analysis. Key responsibilities include revenue and ARR reconciliation, pricing and packaging experiments, and translating finance questions into actionable insights.
This role involves leading end-to-end data architecture for complex client transformation programmes, designing scalable data solutions across cloud, AI, and analytics. The candidate will provide technical leadership, develop data governance frameworks, and translate business requirements into modern data architectures using platforms like Snowflake and Databricks. A consultancy background with strong client-facing experience is essential.
This role involves designing, building, and enhancing a secure and scalable Databricks data platform, developing data pipelines, and contributing to platform architecture and best practices. You will work closely with Product, Analytics, and Data Science teams to deliver effective data solutions and support platform operations.
You will design, build, and optimize scalable data pipelines and platforms using modern cloud tooling. Your work will involve developing and maintaining data warehouses, ensuring data quality, and collaborating with Data Scientists, Analysts, and Product teams to deliver usable datasets.
This role involves analysing manufacturing, quality, and product performance data to uncover trends and drive improvements. The Data Scientist will develop analytical models and dashboards, apply machine learning and statistical techniques, and collaborate with engineering and digital teams to support data-driven decision-making. A key focus is translating complex data into actionable insights for both technical and non-technical stakeholders.
The Data Scientist role involves analysing large datasets, developing predictive models, and collaborating with stakeholders to deliver actionable insights. You will work in a hybrid setup, supporting the strategic use of data in a market-leading financial services company.
The Senior Data Scientist will maintain and troubleshoot live machine learning models, monitor revenue and data integrity, and handle time-sensitive regulatory requests. They will work closely with cross-functional teams to ensure operational stability and drive data-driven decisions.
This role involves developing and enhancing workforce planning models for the NHS, using advanced analytics and simulation techniques to forecast demand and supply. The Data Scientist will work on high-profile projects, collaborating with teams to deliver insights and visualisations that support strategic healthcare planning.
The Lead Data Analyst role involves translating complex business problems into actionable insights and recommendations. You will develop analytical models, evaluate business performance, and partner with senior stakeholders to influence decisions through evidence-based analysis. The role requires strong analytical skills, commercial acumen, and experience in financial services or consulting.
