22 of 22 Remote SAS Jobs in England

culture within the team. Skills & Attributes: Proven experience in a credit risk analytics role, preferably within banking or financial services. Exceptional accuracy and attention to detail. Strong proficiency in SAS, SQL or Python for data analysis and modelling. Hands on experience with credit risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to More ❯

Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of the largest building More ❯

Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of the largest building More ❯

Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one of the largest More ❯

Desirable experience would be to have: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one of the largest More ❯

record of leading change in complex data environments. Strong planning and problem-solving abilities. Excellent working experience with large datasets using SQL and other analytical tools (E.g. Python, R, SAS) Advanced analytics & data modelling experience, ideally in risk modelling or business modelling. Location: Hybrid - Walnut Court - SN2 8BN. Hours: 36 hours per week, Monday to Friday. What's in More ❯

Operational Engineer x 2 - Pentaho, Denodo, Talend, and SAS + 6 month initial contracts + £500 to £530 per day - Inside IR35 + Hybrid working from Telford Key Skills: + Operational Engineer x 2 - Pentaho, Denodo, Talend, and SAS + Must be SC Clearable Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo … culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization … using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. More ❯

Operational Engineer x 2 - Pentaho, Denodo, Talend, and SAS + 6 month initial contracts + 500 to 530 per day - Inside IR35 + Hybrid working from Telford Key Skills: + Operational Engineer x 2 - Pentaho, Denodo, Talend, and SAS + Must be SC Clearable Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo … culture of technical excellence and innovation. Ensure data quality, governance, and security standards are upheld across all solutions. Troubleshoot and resolve complex data issues and performance bottlenecks. Key Skills: SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization … using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. More ❯

services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

engineer Worked you way into a lead data role and then into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data More ❯

of the technical differences between different packages for some of these model types would be an advantage. 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 software is preferred Proficient at communicating results in a concise manner More ❯

of the technical differences between different packages for some of these model types would be an advantage. 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 software is preferred Proficient at communicating results in a concise manner More ❯

of the technical differences between different packages for some of these model types would be an advantage. 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 software is preferred Proficient at communicating results in a concise manner More ❯

of the technical differences between different packages for some of these model types would be an advantage. 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 software is preferred Proficient at communicating results in a concise manner More ❯

Skills and experience you need as Lead Pricing Analyst - Market: 3+ years’ experience in insurance pricing or related analytical background. Highly skilled in the use of programming language (e.g. SAS) to manipulate data. Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector More ❯

bank. Prior leadership or team lead experience. In-depth knowledge of UK and EU AML regulations, FCA guidelines, and industry standards. Experience working with transaction monitoring systems (e.g., Actimize, SAS, ComplyAdvantage, etc.). Strong analytical, investigative, and decision-making skills. Excellent written and verbal communication skills. Benefits Competitive salary & progression Open and inclusive culture Hybrid working Fantastic offices and More ❯

Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up to £57,500 + up to 20% bonus Hybrid working: 1 to 2 days a week in the office 28 days holiday plus bank More ❯

confidence in pricing algorithms and surrounding systems. Deliver clear, actionable analysis and reporting to inform business decisions and improve profitability. Maintain and update existing models using tools such as SAS, Python, and SQL. Collaborate across teams to resolve data issues and drive operational improvements. Mentor and support graduate analysts. Proactively identify opportunities to improve processes and analytical approaches. Requirements … . Proficiency in SQL, Python & Databricks preferred. Strong problem-solving and analytical skills, with a good understanding of statistical modelling. Excellent communication and reporting skills. Experience with insurance data, SAS, Radar, or Emblem is a plus but not essential. Self-motivated, detail-oriented, and able to work both independently and in a team. Location: United Kingdom, remote/flexible More ❯

business requirements and technical specifications Ensure that appropriate automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate … and integration testing. Support the integration of test automation into Git-based CI/CD pipelines (e.g., Jenkins, GitLab CI). Troubleshoot and resolve issues in test environments, including SAS Viya containerized deployments (e.g., OpenShift, Kubernetes). Contribute to test data management and environment provisioning strategies Ensure that appropriate defect management is undertaken Ensure results and progress are clearly … articulated to relevant stakeholders. Essential Skills & Experience: Proven experience in: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation Knowledge of REST API's and testing More ❯

business requirements and technical specifications Ensure that appropriate automation tooling is implemented and utilised to meet business and technical needs. Design and implement automation test strategies and plans for SAS Viya 4 applications, for UI based Visual Analytics (VA) and Intelligent Decisioning (ID), as well as for integration testing of data pipelines. Develop and maintain test scripts using appropriate … and integration testing. Support the integration of test automation into Git-based CI/CD pipelines (e.g., Jenkins, GitLab CI). Troubleshoot and resolve issues in test environments, including SAS Viya containerized deployments (e.g., OpenShift, Kubernetes). Contribute to test data management and environment provisioning strategies Ensure that appropriate defect management is undertaken Ensure results and progress are clearly … articulated to relevant stakeholders. Essential Skills & Experience: Proven experience in: Working in a collaborative agile environment Test automation for data and analytics platforms, ideally including SAS Viya 4. Assuring the appropriate tool selection for both business and technical needs Setting the strategy and approach for both UI and System Integration based automation Knowledge of REST API's and testing More ❯

life-saving work through data-driven insights and reporting. Key Responsibilities Conduct complex data analysis and produce detailed reports and trend insights Build and maintain dashboards using Power BI, SAS, SPSS, Excel, Access, SQL Server Communicate findings clearly through written reports and verbal presentations Work independently and take initiative in problem-solving Collaborate with stakeholders to understand data needs … and deliver actionable insights Essential Skills Strong experience with Power BI, SAS, SPSS, Excel, Access, SQL Server Excellent verbal and written communication skills Ability to work independently and manage multiple priorities Experience producing complex reports and trend analysis Familiarity with Pulse, Q Pulse, and Business Objectives Desirable Previous experience within the NHS or healthcare sector Additional Info Remote working More ❯

an EU passport. Responsibilities: Evaluate clinical trial documents such as protocols, SAPs, CRFs, and CSRs. Author, review, and approve study TFL shells and dataset specifications. Develop, validate, and document SAS programs for datasets, TFLs, and macros following best practices. Identify and resolve data issues, outliers, and standards discrepancies. Review and approve CDISC validation tool reports. Stay updated on emerging … projects, including resource management, risk assessment, and delivery to budget. Lead internal and client meetings, share knowledge, and contribute to process improvement initiatives. Key Skills and Requirements: Proficiency in SAS programming with experience in clinical trial disclosures and/or data anonymization. Familiarity with CDISC standards (SDTM, ADaM) and TLF generation. Strong problem-solving skills and ability to apply More ❯