1,276 to 1,300 of 3,522 Python Jobs in England

or API engineering Proficiency in SQL and at least one of: PostgreSQL , SQL Server , or Oracle Familiarity with RESTful APIs , JSON/XML , and data transformation scripting (e.g., JavaScript, Python, XPath) Experience with integration engines is a plus - but not essential Understanding of data standards is desirable but can be learned on the job Agile/DevOps mindset with experience More ❯

practice. Experience of Microsoft365, SharePoint, PowerBI, Dataverse and PowerApps solutions. Recent UK Defence Security Clearance (SC) would be of interest but is not essential. Keywords - Senior Analyst, Defence, MOD, Python, VBA, PowerBI, SharePoint, Microsoft365, PowerApps, Power BI ,Advanced Excel, Data Analysis Senior Analyst – Defence, MOD 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 ❯

if you have experience with: • Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks. • Working with structured and unstructured data at scale. • Backend development in Python (or similar), and familiarity with data APIs. • Cloud data platforms (e.g., AWS Redshift, Azure Synapse). • SQL and database design for analytics, reporting, and product use. • Agile collaboration with cross More ❯

and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and/or Go * Deep understanding of containerised services, particularly in Kubernetes environments * Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies 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 ❯

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 ❯

performance monitoring and best practice What we're looking for: Strong background in data analysis, reporting, or performance management Skilled in tools such as Excel, Power BI, SQL or Python Ability to present complex data in a clear, engaging way Excellent stakeholder management and communication skills Proactive, detail-focused, and adaptable - someone who enjoys problem solving A degree in business 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 at least 2 years in an architectural or leadership role. Strong understanding of architectural patterns (e.g., microservices, layered, serverless). Proficiency in programming languages such as Java, C#, Python, or JavaScript/TypeScript. Hands-on experience with cloud platforms (in particular Azure) Excellent communication and stakeholder engagement skills. Desirable: Experience in enterprise application integration (EAI). Knowledge of 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 ❯

with at least 2 years in an architectural or leadership role. Strong understanding of architectural patterns (e.g., microservices, layered, serverless). Proficiency in programming languages such as Java, C#, Python, or JavaScript/TypeScript. Hands-on experience with cloud platforms (in particular Azure) Excellent communication and stakeholder engagement skills. Desirable: Experience in enterprise application integration (EAI). Knowledge of data More ❯

Administer and maintain Linux systems (RedHat, CentOS, Ubuntu) Manage virtualisation environments (VMware vSphere, ESXi, vCenter) Support and configure Cisco network infrastructure (routing, switching, firewalls) Drive improvements through automation (Bash, Python, Ansible, Puppet) Lead infrastructure upgrade and optimisation projects Work closely with internal teams and clients to ensure uptime and performance Contribute to disaster recovery planning, monitoring, and best practice documentation More ❯

in business analytics, data science, information management, or equivalent professional experience. Proven experience developing and maintaining dashboards and reporting tools . Strong skills in Excel, Power BI, SQL or Python . Excellent communication skills, with the ability to translate complex data into clear, accessible insights. Why Join? Pension scheme with ~29% employer contribution (far above industry average). 27.5 days 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 ❯

skills. Excellent interpersonal and communication skills. Competency in MS Office for documentation and reporting. Ability to work under pressure and meet tight deadlines. Desirable: Programming experience in LabVIEW, CVI, Python, or Visual Basic. Skilled in using test instrumentation such as oscilloscopes, signal generators, and digital multimeters. Practical electronics and fault diagnosis expertise. Why Should You Apply? Join a forward-thinking 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 ❯

DFS Cloud platforms: AWS, Azure Red Hat technologies: Satellite 6, OpenShift 3/4, RHEL/CentOS Networking: TCP/IP, DHCP, DNS, LAN/WAN Scripting: PowerShell, Bash, Python, Git Security tools: McAfee EPO/ENS Benefits: Competitive salary and bonus structure Pension scheme Comprehensive benefits including private medical, gym membership, childcare vouchers and more Discounts on technology, groceries More ❯

documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft More ❯

documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft More ❯