1 to 25 of 83 Permanent SAS Jobs in the UK excluding London

Platform Duration: 6 Months Location: Telford, Hybrid - 2 days per week on site Clearance Required: Active SC Cleared (preferably HMRC) Rate: £500 per day - PAYE via Umbrella only Skills: SAS, SAS Viya, Jira, Engineering, Pentaho, Denodo, Talend, SAS Web Report Studio This role will form part of a new scrum team within Minerva Platform to develop and … deliver the Ingestion and Risking within the SAS Platform including IDP. Key Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data … 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 virtualisation More ❯

the deployment of software releases across multiple environments. This includes managing release schedules, ensuring configuration integrity, and supporting testing and validation processes. The role demands strong technical expertise in SAS technologies and Oracle, as well as a deep understanding of configuration management and the software testing lifecycle. Key Responsibilities: Own and manage the end-to-end release process across … development, testing, and operations teams to ensure timely and quality releases. Maintain and enforce configuration management standards using manifest files and structured release artefacts. Oversee packaging and deployment of SAS DI code (SPKs) and Oracle artefacts (clear-text files). Support migration activities, particularly from SAS 9.4 to SAS Viya 4, using CI/CD practices and … accelerators. Facilitate release readiness reviews, go/no-go decisions, and post-release retrospectives. Ensure traceability and auditability of all release components and decisions. Required Skills & Experience: Technical Skills: SAS Enterprise Guide (EG) - experience in job orchestration and user migration support. SAS Data Integration (DI) - packaging and deployment of DI jobs using manifest structures. SAS Management Console More ❯

the deployment of software releases across multiple environments. This includes managing release schedules, ensuring configuration integrity, and supporting testing and validation processes. The role demands strong technical expertise in SAS technologies and Oracle, as well as a deep understanding of configuration management and the software testing lifecycle. Own and manage the end-to-end release process across development, test … development, testing, and operations teams to ensure timely and quality releases. Maintain and enforce configuration management standards using manifest files and structured release artefacts. Oversee packaging and deployment of SAS DI code (SPKs) and Oracle artefacts (clear-text files). Support migration activities, particularly from SAS 9.4 to SAS Viya 4, using CI/CD practices and …/no-go decisions, and post-release retrospectives. Ensure traceability and auditability of all release components and decisions. Required Skills/Experience The ideal candidate will have the following: SAS Enterprise Guide (EG) - experience in job orchestration and user migration support. SAS Data Integration (DI) - packaging and deployment of DI jobs using manifest structures. SAS Management Console More ❯

or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the following: Python, R, SAS Knowledge of Data visualisation software, PowerBI preferrable. Proven ability to analyse large sets and translate them into insights and actionable business recommendations. Strong communication, collaboration, and presentation skills, with More ❯

various stakeholders and inform strategic decision-making. Write research reports that distill complex findings for internal and external audiences. Analyze data and generate strategic insights using tools like Python, SAS, SQL, and MS Suite. Stay informed on educational data trends and participate in relevant national conferences. Assist with special projects and duties as assigned. REQUIRED SKILLS AND ABILITIES Deep More ❯

team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software PREFERRED QUALIFICATIONS - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data More ❯

Experience Essential for a Data Insight Analyst Previous demonstrable analytical experience within financial services Collections or credit risk data analysis experience essential Knowledge of relevant coding languages, eg SQL, SAS, Python, R. Excellent communication skills: able to convey findings to technical and non-technical audiences effectively. Proven ability to manage multiple priorities and meet deadlines in a fast-paced More ❯

and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk, or related analytics (experience with FICO Blaze Advisor or other More ❯

to have Proven track record of developing and implementing successful fraud prevention strategies and initiatives to prevent first party fraud. Proficiency in one or more programming languages such as SAS, SQL, Python or R Significant knowledge and understanding of first party fraud risk and industry trends to identify risks that may impact our organisation. Demonstratable experience of successfully influencing More ❯

experience within the Life Science Industry • Strong Efficacy experience • Advanced knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can More ❯

appreciation of consumer risk domain identifying differences between operational data processing ('OLTP') vs analytical data processing ('OLAP') Additional skills include: Appreciation of proprietary technologies such as Apache, Cloudera Hadoop, SAS (Statistical Analytic Systems) and their use in Banking Appreciation of change management delivery methodologies in Waterfall, Agile, SDLC (Software Development Lifecycle) and any project management exposure Working with teams More ❯

model methodologies across a range of Retail and Business credit portfolios, with a strong understanding of model usage. Strong experience in model monitoring and development, ideally using Power BI, SAS and R. Proficiency in developing and maintaining Management Information (MI) dashboards, preferably in Power BI. Excellent analytical ability to solve complex problems, with a keen attention to detail. Strong More ❯

of the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python Desirable Criteria To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python Desirable Criteria To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python Desirable Criteria To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯

You have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics More ❯

EXPERIENCE Proven experience in developing PD and LGD models under IFRS 9. Strong understanding of credit risk across mortgage portfolios. Prior line management or mentoring experience. Advanced proficiency in SAS (knowledge of Python or R is also beneficial). Excellent communication and stakeholder management skills. Experience working in a UK banking or financial services environment. Degree in a numerate More ❯

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 a More ❯

fraud prevention and detection, working for a direct-to-consumer lender You should be highly analytical with a demonstrated ability to solve problems through logical thinking Experience using SQL, SAS or Python for data mining and analysis Comfortable extracting and analysing large datasets using SQL Excellent presentation skills and are able to explain complex analysis in a simple and More ❯

of the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression More ❯

of the skills below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression More ❯