76 to 100 of 223 SAS Jobs in the UK

years of experience in model validation or model development. Expert in the use of analytical tools such as Python/R/SQL/SAS and spreadsheets. Some knowledge of regulatory and risk management guidelines, such as EBA guidelines, CRR and PRA rules would be a bonus. Ability to More ❯

using advanced data analytics. Experience in Marketing analytics especially campaign measurement and reporting. Experience of developing improvements and simplification to processes. Experience of using SAS/SQL/Power Query and Excel is essential. Excellent communication, presentation/visualization, and story-telling skills. Ability to work well within a More ❯

using advanced data analytics. Experience in Marketing analytics especially campaign measurement and reporting. Experience of developing improvements and simplification to processes. Experience of using SAS/SQL/Power Query and Excel is essential. Excellent communication, presentation/visualization, and story-telling skills. Ability to work well within a More ❯

in data virtualisation platforms, such as Dremio and Starburst. Experience with visualisation tools like Tableau and Power BI. Proficiency in analytics platforms such as SAS and Python. Familiarity with Amazon Elastic File System (EFS), S3 Storage, and Hadoop Distributed File System (HDFS). Key Role Responsibilities Lead the design More ❯

/sanctions/global trade compliance experience. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc. Strong project management experience, good team collaboration skills, and ability to work under pressure. Fluent in English listening, speaking, reading, and More ❯

into technical requirements and implementation plans. Experience with Big Data technologies and analytics. Proficiency in C++, Java, Python, Shell Script; familiarity with R, Matlab, SAS Enterprise Miner. Knowledge of Elasticsearch and understanding of the Hadoop ecosystem. Experience working with large datasets and distributed computing tools such as Map/ More ❯

Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/ More ❯

Minimum of 2 years industry experience Experience or coursework in real-world data analysis (e.g., claims data, electronic health records, registries). Proficiency in SAS for statistical analysis and data manipulation. Knowledge of biostatistics, epidemiological methods, and study designs . Strong problem-solving and analytical skills. Excellent written and More ❯

data platforms such Microsoft Customer Insights, Microsoft Customer Data, Microsoft Fabric, social marketing insights, and email marketing analytics would be beneficial. Experience in SQL, SAS, Python, or R programming. Knowledge of web analytics tools would be helpful but not essentail. Some exposure to AI tools such as Co Pilot. More ❯

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 More ❯

Skills: Experience with Python and its data and machine learning libraries. Exposure to ETL tooling. Experience with data science and analytical tools such as SAS or Posit. Design and development of solutions in performance-critical environments. This position is full-time and permanent. Applicants must have (or be able More ❯

execution , ensuring projects are delivered at scale with impact Strong communication, collaboration, and documentation skills Experience with supporting a mixed operational model which includes SAS/managed services vs. on-prem model for B2B mid-sized to large global client organizations Support infrastructure using Linux/Kubernetes based implementations More ❯

level or equivalent in a numerical discipline. 3+ years' experience in insurance pricing or a related analytical background. Proficient in using programming languages (e.g., SAS) to manipulate data. Experience with predictive modelling techniques such as Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests More ❯

or Business Management. Experience and/or certification in leading data warehouse, analysis, and visualisation tools, such as Snowflake, Azure Synapse, Power Platform, Cognos, SAS, and Qlik, are highly valued. Relevant certifications, such as CISSP, PMP, ITIL, or CIO-level certifications, are advantageous. Experience with CAFM solutions, such as More ❯

end-to-end analytics analyses and products. Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Data infrastructure and automation (such as ETL data pipelines, Redshift, S3, Athena, Glue) Experience developing and presenting recommendations of new metrics allowing … java shell scripts. Experience with IBM Planning Analytics/TM1 both scripting processes and writing rules. Experience in Statistical Analysis packages such as R, SAS and Matlab Experience with design & delivery of formal training curriculum and programs. Project management, scoping, reporting, and scheduling experience. Our inclusive culture empowers Amazonians More ❯

make technical trade-offs. You contribute to operational excellence and perform troubleshooting to resolve defects. Drive Company Wide Campaigns and keep the Compliance risks (SAS, Shepherd etc.) for ASCS systems under control. A Day in the Life Big Picture: Solve problems at their root, stepping back to understand the More ❯

make technical trade-offs. You contribute to operational excellence and perform troubleshooting to resolve defects. Drive Company Wide Campaigns and keep the Compliance risks (SAS, Shepherd etc.) for ASCS systems under control. A day in the life Big Picture: Solve problems at their root, stepping back to understand the More ❯

BSc/MSc/PhD) in Acoustics, Electrical/Electronic Engineering, Physics, Signal Processing, or a related discipline. Desirable: • Experience with synthetic aperture sonar (SAS), passive/active sonar systems, or mine detection systems. • Understanding of system-level integration and verification of sonar solutions. • Familiarity with environmental data modelling More ❯

objectives. Desirable: Familiarity with Object-Oriented concepts and SQL programming. Knowledge of storage technologies including Fibre Channel, ISCSI, SCSI, NFS, CIFS, POSIX, Object Storage, SAS, SATA, FLASH (NVME, SSD, etc.), RAID, Erasure Coding, Distributed/Scale-out Storage, File systems, and High-availability methods. System Architecture experience within enterprise More ❯

working relationships. Demonstrate a ‘Can Do’ attitude with a desire to thrive in a dynamic and fast paced environment. Some knowledge of SQL/SAS is preferred but not essential. Sound experience and understanding of established procedures or systems. Evidence of problem solving, investigative and analytical skills. Evidence of More ❯

Experience interpreting data and making business recommendation. - Speak, write, and read fluently in English & Arabic. PREFERRED QUALIFICATIONS - Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts - Knowledge of visualization tools such as Tableau, Datazen, SSRS - Experience back office operations, escalation management and troubleshooting environments Our More ❯

in one of the following analytical areas; Targeting, Customer Segmentation, Pricing, Remediation & Securitisation Expert user of programming in at least one computer language e.g., SAS, R, Python. Experience at a large Consulting firm (preferably Analytics consulting). You are skilled at driving relationships with senior stakeholders across the business More ❯

in one of the following analytical areas; Targeting, Customer Segmentation, Pricing, Remediation & Securitisation Expert user of programming in at least one computer language e.g., SAS, R, Python. Experience at a large Consulting firm (preferably Analytics consulting). You are skilled at driving relationships with senior stakeholders across the business More ❯

SKILLS AND EXPERIENCE 4-7 years of experience in the financial modelling space. Hands on experience in wholesale IRB credit risk modelling. Experience in SAS, Python, R, or Matlab. Experience in ICAAP/ILAAP is desirable. Excellent written and verbal communication skills. Strong numerate degree from a Russel Group More ❯

skills required: Strong experience with IBM Cognos, Power BI and Qlik Cloud platform experience – either AWS or Azure Knowledge or experience supporting and administering SAS Analytics and Informatica Experience mentoring and supporting junior colleagues SQL experience Benefits Salary up to £66,000 + 20% bonus Hybrid working: Two days More ❯