1 to 25 of 42 SAS Jobs in England

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 ❯

build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best people, we strive to create a diverse and inclusive environment where everyone can bring More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent) and as an employment business More ❯

data and analytics skills, with the ability to translate complex analysis into clear insights using concise visuals and narratives to support lending strategy discussions with senior partners. Proficiency in SAS/SQL and solid understanding of Microsoft Office tools. Experience using segmentation and modelling to support decision-making. Desirable Skills: Background in Consumer Lending product environments. About working for More ❯

data and analytics skills, with the ability to translate complex analysis into clear insights using concise visuals and narratives to support lending strategy discussions with senior partners. Proficiency in SAS/SQL and solid understanding of Microsoft Office tools. Experience using segmentation and modelling to support decision-making. Desirable Skills: Background in Consumer Lending product environments. About working for More ❯

data and analytics skills, with the ability to translate complex analysis into clear insights using concise visuals and narratives to support lending strategy discussions with senior partners. Proficiency in SAS/SQL and solid understanding of Microsoft Office tools. Experience using segmentation and modelling to support decision-making. Desirable Skills: Background in Consumer Lending product environments. About working for More ❯

data and analytics skills, with the ability to translate complex analysis into clear insights using concise visuals and narratives to support lending strategy discussions with senior partners. Proficiency in SAS/SQL and solid understanding of Microsoft Office tools. Experience using segmentation and modelling to support decision-making. Desirable Skills: Background in Consumer Lending product environments. About working for 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 ❯

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 ❯

contract - Inside IR35 - Financial Services This role will require travel to Milton Keyenes and the London offices. Experience: Advanced knowledge and 3yrs+ experience of programming languages Hadoop SQL, Spark, SAS etc. Exceptional problem-solving skills. Track record of developing high quality analysis that has resulted in customer centric decisions that achieve business objectives. Understanding of the customer and knowledge 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 ❯

modelling analytics within banking with an understanding of model usage Practical experience of distilling and interpreting complex data and analysis Expertise in the use of statistical analysis software (e.g. SAS, Python, R) as well as MS Office Demonstrable understanding of statistical modelling techniques such as hypothesis testing, probability distributions and Regression. It's a bonus if you have but More ❯

service * Work with Engineering Team Lead to provide a clear technical vision and roadmap for product/services * Show (by example) and explain/teach modern development methods and SAS approaches * Pair with other developers (or swarm) for feature development * Take part in the release process * Mentor Engineers and Associate Engineers Reasonable Adjustments: Respect and equality are core values More ❯

Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI);InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.);Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.);Compliance/Corporate Governance ;IT- (full SDLC- BA’s PM’s , Architects, Developers etc.); Brimstone Consulting acts as an employment agency (permanent) and as an employment business More ❯

as a hands-on data engineer Worked you way into a lead data role and then into a management 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 ❯

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 ❯

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 ❯