676 to 700 of 1,576 Python Jobs in Central London

pricing and risk logic, market data processing, and order handling Optimise data flow and system throughput under real-time constraints Implement core components in Kotlin (some C++ and legacy Python/Java) Engineer for reliability, testing, monitoring and rapid fault recovery What You'll Bring Solid command of CS fundamentals, algorithms, architecture, systems, likely been a competitive programmer. Advanced experience More ❯

degree (or equivalent qualification) Evidence of your passion for technology — whether through personal projects, internships, open-source contributions, or hackathons Familiarity with at least one programming language (JavaScript, TypeScript, Python, etc.) Willingness to learn React, TypeScript, Next.js, Tailwind CSS, and AWS A collaborative mindset and eagerness to be part of a growing team Why Join? Work with a modern tech More ❯

and policy documentation Requirements 4+ years’ experience in a data science, actuarial, or underwriting environment Strong quantitative background with a degree in maths, statistics, physics, or similar Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling Interest or prior experience in parametric insurance and/or climate risk modelling Track record of managing technical projects or small More ❯

retention, progressive passing, duel outcomes under pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models More ❯

pricing and risk logic, market data processing, and order handling Optimise data flow and system throughput under real-time constraints Implement core components in Kotlin (some C++ and legacy Python/Java) Engineer for reliability, testing, monitoring and rapid fault recovery What You'll Bring Solid command of CS fundamentals, algorithms, architecture, systems, likely been a competitive programmer. Advanced experience More ❯

degree (or equivalent qualification) Evidence of your passion for technology — whether through personal projects, internships, open-source contributions, or hackathons Familiarity with at least one programming language (JavaScript, TypeScript, Python, etc.) Willingness to learn React, TypeScript, Next.js, Tailwind CSS, and AWS A collaborative mindset and eagerness to be part of a growing team Why Join? Work with a modern tech More ❯

Skills and Experience 3–5 years’ experience in a commercial or analytics role Skilled in SQL and a BI tool such as Power BI, Tableau, or DOMO Exposure to Python desirable Experience working across financial, customer, or digital data Strong communication skills with the ability to translate data into business action Backgrounds from digital, retail, media, tech, or FMCG work More ❯

sake. You should have: ✅ Proven hands-on experience in Palantir Foundry or Gotham – deployment, configuration, pipeline development ✅ Strong background in data engineering , analytics , or data architecture ✅ Coding experience in Python, SQL , or similar ✅ Experience delivering in secure , high-stakes, or classified environments ✅ DV Clearance (Developed Vetting) – this is essential. Unfortunately, we cannot progress candidates without it. 🌟 Why Join? This is More ❯

retention, progressive passing, duel outcomes under pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge More ❯

Your Skills and Experience 35 years experience in a commercial or analytics role Skilled in SQL and a BI tool such as Power BI, Tableau, or DOMO Exposure to Python desirable Experience working across financial, customer, or digital data Strong communication skills with the ability to translate data into business action Backgrounds from digital, retail, media, tech, or FMCG work More ❯

and policy documentation Requirements 4+ years’ experience in a data science, actuarial, or underwriting environment Strong quantitative background with a degree in maths, statistics, physics, or similar Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling Interest or prior experience in parametric insurance and/or climate risk modelling Track record of managing technical projects or small More ❯

the role of digital and email marketing Make complex technical concepts simple for clients, by explaining the story behind the information The Person Experience with coding environments such as Python and SQL Highly proficient in Microsoft Excel, with experience in CRM/marketing automation tools such as Braze, Atreemo or DotDigital Skilled in data visualisation and reporting, with experience in More ❯

growth and team performance. Exceptional communication skills, with the ability to adapt presentation style and messaging to suit different audiences. Proficient in SQL (essential) and experienced with R or Python (preferred). Strong data visualisation expertise, using tools such as Power BI, Looker, or Tableau to present insights effectively. Extensive background in product, web, or digital analytics, ideally gained within More ❯

retention, progressive passing, duel outcomes under pressure). Communicate findings effectively to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models More ❯

regulated industries (banking, fintech, insurance) Familiarity with operational risk reporting or audit processes Understanding of cloud-based service operations and performance monitoring Exposure to SQL, scripting, or automation tools (Python, Power Automate More ❯

sake. You should have: ✅ Proven hands-on experience in Palantir Foundry or Gotham – deployment, configuration, pipeline development ✅ Strong background in data engineering , analytics , or data architecture ✅ Coding experience in Python, SQL , or similar ✅ Experience delivering in secure , high-stakes, or classified environments ✅ DV Clearance (Developed Vetting) – this is essential. Unfortunately, we cannot progress candidates without it. 🌟 Why Join? This is More ❯

mitigate operational risks. Experience in system integration. Working knowledge of Agile Scrum methodology and ability to manage Agile teams. Knowledge of data mining and analytics application an (SAS, SQL, Python) and visualisation tool such as (Power BI, Tableau, Qlik) Understanding of requirements under Basel II, III, IV as well as well as best practices for Data Governance and management. More ❯

growth and team performance. Exceptional communication skills, with the ability to adapt presentation style and messaging to suit different audiences. Proficient in SQL (essential) and experienced with R or Python (preferred). Strong data visualisation expertise, using tools such as Power BI, Looker, or Tableau to present insights effectively. Extensive background in product, web, or digital analytics, ideally gained within More ❯

the role of digital and email marketing Make complex technical concepts simple for clients, by explaining the story behind the information The Person Experience with coding environments such as Python and SQL Highly proficient in Microsoft Excel, with experience in CRM/marketing automation tools such as Braze, Atreemo or DotDigital Skilled in data visualisation and reporting, with experience in More ❯

5+ years) in analytical or data-focused roles. Strong academic background in a quantitative field such as Mathematics, Statistics, Engineering, or another STEM discipline. Advanced proficiency in SQL and Python for data extraction, analysis, and modelling. Proven experience applying forecasting and time series modelling techniques to business problems. Background in pricing or optimisation, including dynamic pricing, revenue modelling, or scenario More ❯

regulated industries (banking, fintech, insurance) Familiarity with operational risk reporting or audit processes Understanding of cloud-based service operations and performance monitoring Exposure to SQL, scripting, or automation tools (Python, Power Automate More ❯

Thinking: Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

consistency. Collaborate with stakeholders to gather requirements and deliver data-driven solutions. Perform exploratory data analysis to uncover trends and support risk mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute More ❯

Thinking: Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

consistency. Collaborate with stakeholders to gather requirements and deliver data-driven solutions. Perform exploratory data analysis to uncover trends and support risk mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute More ❯