Top Python Jobs in London

Lead data science initiatives to enhance player engagement and business outcomes through machine learning solutions, collaboration, and technical leadership.

The Business Systems Specialist will design solutions to eliminate inefficiencies, build automations, and leverage AI to enhance workflow efficiency and process reliability across the company.

Conduct detailed credit analysis including financial statements, develop risk monitoring tools, analyze large data sets, and collaborate with actuaries to enhance models.

The role involves leading programming teams in biometry, developing technical solutions, ensuring regulatory compliance, and driving digital transformation in clinical data analysis.

The role involves designing multi-cloud solutions, leading DevOps practices, managing complex architectures, mentoring junior engineers, and ensuring high availability of cloud infrastructure.

As a Senior Data Scientist at M-KOPA, you'll build predictive models to shape loan eligibility and pricing strategies across multiple African markets, working collaboratively with engineers and commercial stakeholders.

The Senior Product Analyst will generate insights, collaborate with product managers, conduct A/B tests, and monitor product performance to facilitate data-driven decisions.

The Data Scientist will manage planning and analysis for participant invitations, optimizing recruitment strategies using data-driven insights. Responsibilities include forecasting, modeling population reach, monitoring performance, and collaborating with analytics colleagues.

As an Analytics Engineer, you'll create trustworthy data models, improve data quality, collaborate with teams, and support self-serve analytics at Our Future Health.

As a Senior Data Scientist at Intercom, you'll analyze data to drive decisions, support product teams, build data pipelines, and influence product strategy using AI tools.

The Precious Metals Trader supports senior traders, follows market developments, prices quotes, manages risk positions, and produces daily reports while ensuring compliance with FCA standards.

As an Investment Analyst, you will support daily execution, regulatory compliance, and portfolio monitoring through data analysis and reporting.

Responsible for conducting complex security assessments, including penetration testing and vulnerability exploitation, while documenting findings and mentoring team members.

The Senior Data Scientist will collaborate with product teams, develop metrics, design data pipelines, and influence product strategy through data analysis at Intercom.

As a Machine Learning Engineer at Trainline, you'll design scalable systems, work with complex datasets, and enhance the travel experience through innovative ML applications.

The Analytics Engineer will design and maintain data models and pipelines, create dashboards, document KPIs, and promote data best practices across teams.

Develop and optimize low-latency trading systems, maintain trading infrastructure, and collaborate with quantitative analysts and traders to enhance trading strategies.

The Technical Lead will oversee regulatory reporting projects, ensuring compliance and collaboration with various teams while mentoring juniors.

The Head of Investment Risk leads the Discretionary Risk Management team, overseeing risk exposures, enhancing methodologies, and ensuring stakeholder collaboration.

The Data Developer role involves onboarding and modeling datasets, conducting data analysis, and supporting production data in live trading environments.

The Lead Data Engineer will create MLOps foundations for data science teams, lead a data engineering team, and optimize data-driven advertising processes.

The Senior MLOps Engineer will operationalize AI and ML models, build pipelines, ensure monitoring and governance of ML workflows, and facilitate collaboration between data science and engineering teams.

The internship involves applying statistical and mathematical techniques to develop quantitative trading strategies, analyzing financial datasets, and collaborating with researchers and portfolio managers.

The role focuses on developing and supporting quantitative trading strategies, handling large datasets for analysis and back-testing, and collaborating with researchers to enhance trading systems.

Provide end-user support, manage support tickets, assist with Windows and Microsoft 365 management, build workstations, and recommend improvements.