Top Python Jobs in London

The Senior Analyst will focus on credit forecasting and reporting, using large datasets to deliver insights on portfolio risk, asset quality, and cash impairment, while supporting MI and change initiatives.

Lead data-driven measurement and advanced analytics for digital marketing campaigns. Own data extraction, quality control, dashboarding, forecasting, attribution modelling, and client-facing insight delivery to support media planning across Europe.

As a Senior Data Scientist, you will lead AI projects, design software architectures, mentor team members, and build client relationships while ensuring quality delivery.

Lead engineering teams to build features aimed at customer acquisition and retention. Collaborate with product and marketing teams, ensuring high-quality engineering work and talent development.

Maintain and operate large-scale, geo-distributed database platforms: implement and automate database solutions, run and improve operational playbooks, build tooling for monitoring and deployments, optimize performance and cost, collaborate with application teams, and participate in on-call rotations.

Partner with Talent, Performance & Reward to scope and deliver end-to-end people analytics: translate talent questions into metrics, perform complex SQL and Python/R analysis, build reporting and automations, ensure responsible data governance (PDDs), and influence senior HR stakeholders to improve attraction, growth, and retention.

Lead design and implementation of scalable, low-latency real-time data pipelines and infrastructure; integrate data sources, ensure fault-tolerant ingestion, monitor performance, and collaborate with engineering, data science, and stakeholders.

Lead analytics and operations research projects to optimise inbound, warehouse, delivery, and returns processes. Develop and deploy predictive and optimisation models that deliver measurable cost and efficiency improvements. Collaborate with supply chain, technical, and senior stakeholders to present insights and drive adoption, improve data quality and governance, mentor analysts, and support DE&I initiatives. Role requires regular office presence and travel to warehouses.

As a Senior Data Platform Engineer, you will design and operate a scalable data platform, support analytics, mentor junior engineers, and drive technical excellence.

Design, build, and maintain data ingestion and transformation pipelines for hundreds of thousands of property listings daily. Manage PostgreSQL databases, implement ETL and data warehousing solutions, and apply AI/ML to enrich data. Build pipelines from diverse sources and improve live property data processing.

Perform cloud and on-prem security assessments, threat and risk analysis, enforce security policies, integrate security into IT operations, automate vulnerability management and reporting, and communicate risks to technical and business stakeholders during M&A and integration activities.

The Director oversees real-world studies, providing biostatistical expertise, mentoring staff, ensuring methodological rigor, and engaging in strategic communications, while enhancing pharmaceutical development through innovative methodologies.

The Catastrophe Risk Developer will lead the development of catastrophe and exposure management workflows, enhance analytics tools, and collaborate with stakeholders to improve risk management processes.

The VP – Actuary will lead the Analytics division, developing risk pricing models, optimizing reinsurance strategies, and working with data analysis. Responsibilities include client interaction, technical queries, and management of junior staff.

The role involves managing data quality for portfolio risk analytics, troubleshooting data issues, and collaborating with teams to enhance data processes. It requires strong analytical skills and experience in financial data, risk models, and technical proficiency in relevant programming languages.

As a Platform Engineer, you'll enhance infrastructure reliability through automation, develop self-managing services, improve system performance and collaborate with teams to optimize operations.

Participate in the full software development lifecycle for ratings-related products: design, develop, test, optimize, and operate production systems. Adopt SAFe practices, tackle a defined finance/structured-finance problem, collaborate with engineers and leadership, and gain exposure to ratings processes, tools, and company standards.

As an AI Engineer at Lloyd's, you will integrate AI solutions, operationalise ML models, maintain data governance, and drive innovation in AI and data analytics.

As a Senior Software Developer, you'll design and maintain software solutions, lead a team, and ensure high-quality code delivery. You'll collaborate with various teams and integrate data science and machine learning solutions into production code.

The Solutions Architect drives client revenue growth and retention through technical support, product training, and sales support, while ensuring a positive experience with data delivery solutions.

The intern will support data analytics within the Agile Program Management Office by researching AI tools, documenting data pipelines, and analyzing Power BI reports.

As a Data Engineer Intern, you will assist in building and maintaining data pipelines, support ETL processes, and design efficient workflows for analytics and AI/ML initiatives.

Architect and develop data solutions for MUFG, driving innovation and automation while leading EDM team, ensuring compliance and high-quality deliverables.

The Internal Auditor performs complex audits, reviews financial and operational systems, analyzes data, and documents findings while ensuring compliance with regulations.

The Principal Software Engineer will lead the design and operation of search infrastructure, focusing on Elasticsearch and scalable systems while collaborating with various teams to deliver high-quality search experiences.