1 to 25 of 74 Permanent SAS Jobs in the UK

etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance More ❯

work closely with biostatisticians, data managers, and clinical teams to develop high-quality statistical programming deliverables in compliance with regulatory requirements and industry standards. Responsibilities Develop, validate, and maintain SAS and R programs for data analysis, visualization, and reporting of clinical trial data. Generate CDISC SDTM datasets, analysis datasets (ADaM), tables, listings, and figures (TLFs) for clinical trial reports … 21. Define xml and reviewer guide experience is a plus. Qualifications Minimum 8 years of experience in statistical programming within clinical trials or pharmaceutical/biotechnology industries. Proficiency in SAS programming with experience in Advanced SAS, SAS/STAT, and SAS Macro development. Strong experience in R programming for statistical analysis and visualization. Hands-on experience More ❯

support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency More ❯

etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance 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 ❯

Strong communication and storytelling capabilities Ability to build macros in Excel and organize data in Access Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Great attention to detail Ability to More ❯

of education, training and experience in lieu of degree Req • 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 • Good organizational, interpersonal, leadership and communication skills • Ability to effectively manage multiple tasks and projects • Excellent accuracy and attention to detail More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

professional programmers as part of a study team to develop datasets, tables, listings and figures to aid clinical trial reporting. Participate in programming activities for clinical trial reporting using SAS and/or R programming languages, whilst adhering to data standards and regulatory requirements. Conduct quality control checks on clinical trial data and outputs, identifying and resolving discrepancies or 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 ❯

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 ❯

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 ❯

MS office. Experience working on root cause analysis, corrective and preventive actions for solving customer problems and prevention of defects. 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 Experience working in e-commerce/ More ❯

utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to listen, understand and respond professionally to a range of stakeholders Proficiency in More ❯

Tableau, with the ability to create engaging and effective dashboards for a range of stakeholders. Expert SQL skills and the ability to handle complex data queries and transformations. Strong SAS programming skills or expertise in Google Analytics. Proven experience of working in cross-functional teams to deliver insight and improve performance. A keen eye for detail, a problem-solving More ❯

curve, but we can help with this. A numerate mindset - you must be comfortable working with large sets of data. (Think too big for Excel!). Proven experience of SAS as a data preparation and data analysis tool. Experience working in a data-driven environment. An understanding of how to plan workloads for teams and how to integrate plans 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 ❯