451 to 475 of 1,775 Python Jobs in London

on experience within Microsoft Azure data tools (Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python/Pyspark experience ✅ Experience with CI/CD methodologies for data platforms. ✅ Deep knowledge of SQL ✅ Extensive London Markets experience Why Join? 🚀 New Projects – Work on a new data platform More ❯

PBCS, FCCS, ARCS), including environment provisioning, data loads, and maintenance. Demonstrated ability to develop and implement robust environment strategies and roadmaps. Experience with environment automation tools and scripting (e.g., Python, Shell scripting) for environment provisioning or management tasks. Strong problem-solving skills and a methodical approach to troubleshooting environment issues. Ability to influence and collaborate effectively with diverse technical and More ❯

Azure Functions, App Services, AKS, and Logic Apps Hands-on experience with Azure Cosmos DB including query optimisation and throughput management Proficiency with Cosmos DB SDKs (e.g., .NET, Java, Python, Node.js) Experience with SQL API and familiarity with other APIs Strong understanding of partitioning, indexing, and consistency levels Experience with Git, version control, and continuous integration tools Desirable: Advanced proficiency More ❯

PBCS, FCCS, ARCS), including environment provisioning, data loads, and maintenance. Demonstrated ability to develop and implement robust environment strategies and roadmaps. Experience with environment automation tools and scripting (e.g., Python, Shell scripting) for environment provisioning or management tasks. Strong problem-solving skills and a methodical approach to troubleshooting environment issues. Ability to influence and collaborate effectively with diverse technical and More ❯

similar actuarial modelling systems.* Strong understanding of ALM principles, including asset classes, liability structures, matching and hedging strategies, and market risk.* Experience with programming or scripting languages such as Python, SQL, R, or VBA would be an advantage.* Familiarity with relevant regulatory frameworks (e.g., Bermuda, Solvency II) beneficial.* Excellent analytical skills, attention to detail, and the ability to manage multiple More ❯

following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯

non-technical stakeholders Visualising complex data through dashboards and reporting tools Ensuring compliance and ethical data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data More ❯

non-technical stakeholders Visualising complex data through dashboards and reporting tools Ensuring compliance and ethical data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯

survey or behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical More ❯

survey or behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical More ❯

. Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data More ❯

the needs of its stakeholders, both nationally and internationally, including its members. The following skills are Essential: Relevant higher education qualification in data analysis, including programming languages such as Python and SQL. Substantial experience working in data analysis within an organisational setting. Excellent problem solving, analytical and business intelligence skills, especially working with large datasets. Excellent written and verbal communication More ❯

non-technical stakeholders Visualising complex data through dashboards and reporting tools Ensuring compliance and ethical data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data More ❯

survey or behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical More ❯

non-technical stakeholders Visualising complex data through dashboards and reporting tools Ensuring compliance and ethical data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data More ❯

survey or behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical More ❯

with executives and technical teams alike. Strong problem-solving mindset with the ability to bridge business and technical perspectives. Hands-on experience with data management platforms or scripting (SQL, Python, APIs) is a plus. Inclusion and Equal Opportunities We're always looking for talented individuals to join our team at Billigence. As an inclusive, equal-opportunity employer, we welcome applicants More ❯

Conjoint analysis, either using the Sawtooth suite of programmes or otherwise; You have experience running Segmentation projects using different clustering methods; You are expert with R and/or Python; Nice-to-haves: You have an interest in current affairs and politics; You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis; You have More ❯

Conjoint analysis, either using the Sawtooth suite of programmes or otherwise; You have experience running Segmentation projects using different clustering methods; You are expert with R and/or Python; Nice-to-haves: You have an interest in current affairs and politics; You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis; You have More ❯

innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert in R and/or Python . Expertise with analysis of survey data and undertaking segmentation and conjoint analysis expertise is essential. Experience of survey analytics such as MaxDiff, TURF; knowledge of machine learning methods, text More ❯

innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert in R and/or Python . Expertise with analysis of survey data and undertaking segmentation and conjoint analysis expertise is essential. Experience of survey analytics such as MaxDiff, TURF; knowledge of machine learning methods, text More ❯

driven solutions. Play a key role in analytics-driven projects that shape business strategy. Main Skills Needed: Minimum of 4+ years’ experience leading software projects and API development. Strong Python development skills (Java knowledge a plus). Experience with Azure Functions, Snowflake, Databricks, and cloud technologies. Familiarity with MLOps frameworks and API use in analytics/actuarial environments. Excellent communication More ❯