1 to 25 of 89 DemandTrendPermanent 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 ❯

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 ❯

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 ❯

an understanding of, or experience of using, data modelling tools and techniques, and the ability to apply this knowledge when developing targeted solutions to deliver business benefits. (e.g., SPSS, SAS, SQL, R, PYTHON). Data visualisation - You can use the most appropriate medium to visualise data to tell compelling stories that are relevant to business goals and can be More ❯

an understanding of, or experience of using, data modelling tools and techniques, and the ability to apply this knowledge when developing targeted solutions to deliver business benefits. (e.g., SPSS, SAS, SQL, R, PYTHON). Data visualisation - You can use the most appropriate medium to visualise data to tell compelling stories that are relevant to business goals and can be More ❯

and Experience Essential for a Data Insight Analyst Previous demonstrable analytical experience within financial services Collections or credit riskdata 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 ❯

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 ❯

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 ❯

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 ❯

for designing, developing, and delivering complex reporting, data extracts, and analytics solutions to support critical business functions. This role focuses on transitioning legacy data outputs, primarily in Excel and SAS, to a modern Cognos Analytics environment, ensuring robust and scalable BI solutions that meet evolving business requirements. Essential Skills & Qualifications • Proven years of hands-on experience working with Cognos 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 ❯

multiple tasks simultaneously under direction and prioritise workload. Ability to work independently in a group setting; ability to adjust to changing priorities. Maintain a professional and positive attitude. Desirable SAS Experience. SQL Experience. Benefits Competitive remuneration package including benchmarked salaries. Staff Annual Bonus Plans and Annual Salary Review. Generous employer pension contribution of 6%. 25 days annual leave More ❯

multiple tasks simultaneously under direction and prioritise workload. Ability to work independently in a group setting; ability to adjust to changing priorities. Maintain a professional and positive attitude. Desirable SAS Experience. SQL Experience. Benefits Competitive remuneration package including benchmarked salaries. Staff Annual Bonus Plans and Annual Salary Review. Generous employer pension contribution of 6%. 25 days annual leave More ❯

both technical and non-technical audiences, including senior leadership. YOUR SKILLS AND EXPERIENCE Experience with IFRS9 or IRB models Experience developing or validating regulatory models Proficiency in Python, with SAS and R being desirable. Numerate degree from a Russel Group university. Excellent written and verbal communication skills. THE BENEFITS Up to £60,000. Generous equity/shares within the More ❯

and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative More ❯

and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative More ❯

and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative 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 software is preferred Proficient at communicating results in a concise manner 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 software is preferred Proficient at communicating results in a concise manner More ❯

Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND BENEFITS Up to £65,000 base salary Enhanced pension More ❯

Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND BENEFITS Up to £65,000 base salary Enhanced pension More ❯

Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND BENEFITS Up to £65,000 base salary Enhanced pension More ❯

Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND BENEFITS Up to £65,000 base salary Enhanced pension More ❯