Top Python Jobs in London

Lead customer value journeys by translating strategic priorities into Celonis use cases, building demos and business cases, running value workshops, delivering ROI, and driving adoption, expansion and renewal. Use SQL/Python and BI/RPA tools to prototype AI-enabled solutions, manage stakeholder engagements and provide product feedback.

Lead customer value journeys for large enterprise accounts by translating strategic priorities into Celonis use cases, building demos and business cases, running value workshops, delivering measurable ROI, and driving adoption, expansion and renewal. Act as technical and business advisor, engaging C-level stakeholders, collaborating with IT, and feeding product teams with use-case insights.

The Senior Data Modelling Consultant will design enterprise-grade data models, support data migrations, and enforce data governance standards for financial services clients.

Lead complex data analytics initiatives for top financial institutions, utilizing predictive modeling and creating dashboards. Support innovation in AI and machine learning.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.

The Senior Value Engineer guides customers in leveraging the Celonis Process Intelligence Platform to achieve strategic goals through value assessments, business cases, and workshops, driving adoption and renewal throughout the value journey.

As a Lead Data Platform Engineer, you will design and operate machine learning platforms using Databricks, manage AWS infrastructure, and enhance data workflow capabilities while mentoring teammates.

SREs at Citadel focus on optimizing and maintaining system reliability, performance, and automation for investment applications, collaborating closely with teams.

As a Lead Value Engineer, you'll drive data-driven business transformations for clients, ensuring successful adoption of Celonis technologies, managing value workshops, and translating strategic objectives into actionable insights.

The role involves building and maintaining a machine learning platform, improving infrastructure scalability and reliability, collaborating with data scientists, and contributing to the technical roadmap.

As a Senior Machine Learning Engineer, you will develop and optimize AI models for specialized hardware, scale systems, and collaborate with cross-functional teams.

The VP will lead pricing and interchange strategies, coordinate revenue plans, and engage with global teams. The role demands data analytical skills and business acumen to enhance Mastercard's core fees and competitive position.

The Lead Data Scientist will enhance fraud detection models, develop machine learning features, and collaborate with the Fraud Risk Team to mitigate risks against financial crime.

Lead technical strategy for platform components, mentor engineers, design scalable systems, and drive cross-team initiatives for product features.

The role involves leveraging AI for data analysis and automation in a Post Trade environment, supporting Relationship and Product Management while completing an apprenticeship.

The Lead Product Analyst will collaborate with teams to develop KPIs, support product launches with analysis, and influence decisions through data insights.

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

The Solutions Engineer will drive the delivery of technical solutions to customers, oversee deployments, optimize configurations, and provide support across teams.

The Senior Site Reliability Engineer will automate processes, collaborate across teams, and enhance service resilience in a cloud-native environment, focusing on system scalability and best practices.

As a Senior Data Scientist, you will develop and implement statistical models and machine learning algorithms to enhance sports modeling and the Sportsbook experience, collaborating across teams and mentoring junior scientists.

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

As a Backend Engineer, you'll enhance accounting integrations, improve workflows, expand global offerings, and build a scalable platform architecture.

The Lead Data Analyst will analyze CRM data to improve marketing strategies, set KPIs, design testing methodologies, and maintain dashboards. This role involves collaboration with multiple teams to drive customer engagement and optimize marketing efforts.

As a Lead Analyst, you'll design scalable data models, build BI dashboards, conduct risk analysis, and enhance financial crime controls through collaboration with cross-functional teams.

The Senior Implementations Data Engineer will design, develop, and maintain data pipelines, ensure data security, and support customer integrations, working with cross-functional teams and stakeholders.