601 to 625 of 1,712 Python Jobs in London

OS such as RHEL and Windows Server Experience in cloud technologies such as AWS Knowledge of database monitoring tools, such as OEM and Nagios Experience in scripting, such as Python Knowledge of database server clustering, failover, and disaster recovery Experience in database replication software, such as Data Guard, Replication Manager for PostgreSQL, and MongoDB ReplicaSets Experience in backup/recovery More ❯

of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g. More ❯

of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g. More ❯

LLMs to business problems. Hands-on experience with process improvement and automation design. Comfortable navigating complex, ambiguous challenges and delivering clear solutions. Excellent communicator with strong stakeholder management skills. Python development background is desirable. Degree in Computer Science, Engineering, Data Analytics, or a similar quantitative field. What’s in It for You: Influence how intelligent automation shapes a leading insurance More ❯

of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g. More ❯

of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data analysis and rule development. Exposure to Fraud, AML, and transaction monitoring within financial services. Demonstrated success implementing AML or fraud strategies with tangible impact. Working More ❯

of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data analysis and rule development. Exposure to Fraud, AML, and transaction monitoring within financial services. Demonstrated success implementing AML or fraud strategies with tangible impact. Working More ❯

non-technical audiences Commercially minded — curious about what drives customer behaviour and retail outcomes Ability to hit the ground running in a fast-paced, data-mature environment Experience with Python or R is a nice to have, but not essential for success in this role. More ❯

non-technical audiences Commercially minded — curious about what drives customer behaviour and retail outcomes Ability to hit the ground running in a fast-paced, data-mature environment Experience with Python or R is a nice to have, but not essential for success in this role. More ❯

of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g. More ❯

of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data analysis and rule development. Exposure to Fraud, AML, and transaction monitoring within financial services. Demonstrated success implementing AML or fraud strategies with tangible impact. Working More ❯

non-technical audiences Commercially minded — curious about what drives customer behaviour and retail outcomes Ability to hit the ground running in a fast-paced, data-mature environment Experience with Python or R is a nice to have, but not essential for success in this role. More ❯

non-technical audiences Commercially minded — curious about what drives customer behaviour and retail outcomes Ability to hit the ground running in a fast-paced, data-mature environment Experience with Python or R is a nice to have, but not essential for success in this role. More ❯

of detection strategies. Lead the design, configuration, and optimisation of the Feedzai fraud prevention platform. Requirements Strong hands-on experience configuring Feedzai or a similar fraud prevention platform. Solid Python and SQL skills for data analysis and rule development. Exposure to Fraud, AML, and transaction monitoring within financial services. Demonstrated success implementing AML or fraud strategies with tangible impact. Working More ❯

and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using More ❯

and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Experience with LLM/VLM pre-training, fine-tuning, and More ❯

CentOS to RHEL. Strong knowledge of Linux internals, networking, security, and file systems. Proficiency in automation/configuration management tools (eg, Ansible, Puppet, Chef). Shell Scripting expertise (Bash; Python preferred). Familiarity with virtualization technologies (KVM, VMware). Strong troubleshooting and problem-solving skills. Desirable Skills: Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE) certification. More ❯

SAP HANA, and BW. Strong ETL/data modelling skills and proficiency in cloud-based data platforms. Experience integrating data from SAP and non-SAP systems. Programming proficiency in Python, SQL, or Java . Proven leadership and stakeholder management skills. Excellent communication, problem-solving, and collaboration abilities. Ability to manage multiple priorities in a dynamic environment. Desirable SAP Certified Application More ❯

management, investment management, or trading platforms with a deep understanding of industry workflows and requirements Solid technical foundation with hands-on experience in modern web technologies, including React, TypeScript, Python, and cloud infrastructure (AWS preferred) Understanding of API integration patterns, particularly Open API/REST API implementations in financial services contexts Proven track record of successfully managing complex, multi-module More ❯

in futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low More ❯

in futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low More ❯

management, investment management, or trading platforms with a deep understanding of industry workflows and requirements Solid technical foundation with hands-on experience in modern web technologies, including React, TypeScript, Python, and cloud infrastructure (AWS preferred) Understanding of API integration patterns, particularly Open API/REST API implementations in financial services contexts Proven track record of successfully managing complex, multi-module More ❯

in futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low More ❯

in futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low More ❯

or target validation setting Proven track record of innovation in statistical methodology, evidenced by publications, tools or project delivery Advanced coding skills in a language such as R or python and experience with statistical computing environments Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc Experience deploying methods in cloud-based infrastructures More ❯