101 to 125 of 700 SAS Jobs in England

experience Good communication skills and experience working with stakeholders Minimum 2.1 degree (or equivalent) in a STEM subject Some knowledge or experience with statistical packages such as R, Python, SAS, or SQL #J-18808-Ljbffr More ❯

a related field. Extensive experience in clinical data programming and data visualization. Strong experience with Python programming (PySpark, Databricks, pandas, Numpy) is mandatory. Good knowledge of SDTM standards. Strong SAS/R programming and SQL expertise. Proficiency in CDISC SDTM standards. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Ability to work independently and manage multiple More ❯

saving, selection economics, and several others. Minimum Qualifications: 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.). 5+ years of data scientist experience. Experience with statistical models e.g., multinomial logistic regression. Experience working collaboratively with data engineers and business intelligence engineers. Experience managing More ❯

Bachelor's degree. Knowledge of data pipelining and extraction using SQL. Knowledge of SQL and Excel at a moderate or advanced level. Experience with data mining tools like SQL, SAS, SPSS, or similar. PREFERRED QUALIFICATIONS Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions. Our inclusive culture empowers Amazonians to deliver the More ❯

of experience in a pricing or data analysis role, preferably within the insurance industry Experience in building technical risk models is desirable Proficient in data analysis tools such as SAS, SQL, Python, R etc... Proficient in pricing software (e.g. Earnix, Akur8, Emblem, Radar etc...) and rating engines is a strong advantage Understanding of statistical modelling techniques Strong analytical mindset More ❯

new requirements in a timely and robust manner What you'll need: Educated to degree level with experience in an analytical role Strong technical skills in SQL, Python, R, SAS or similar Strong experience of Marketing Cloud and Salesforce Experience of a wide range of statistical techniques such as segmentation, regression and predictive modelling as well as having the More ❯

and distributions (direct, intermediary, aggregators) Experience of using statistics to explore and validate data, extract and manipulate large datasets for analysis Experienced in the use of programming language (e.g. SAS) and/or statistical packages e.g. actuarial pricing software Experience in SOME of the following predictive modelling techniques e.g.Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision More ❯

science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied More ❯

as data modelling, metadata management, data lineage, master data management, BI reporting, data quality management, data provisioning, privacy management etc. These include Erwin, SAP business objects and data services, SAS and serval other software platforms. What you'll do You'll be responsible for the technical ownership, maintenance, development and troubleshooting of data function owned software, servers and licenses More ❯

interpreting and writing technical documentation Presentational skills, good communication skills, self-motivated and independent individual It would also be nice for you to have: Knowledge of SQL, VBA, R, SAS, C++, Latex, git and any other programming or statistical software Degree level education, or equivalent, in a quantitative field such as Mathematics, Statistics, Mathematical Finance, Data Science, Operations Research More ❯

Siebel) gained from implementing methods in such systems, validating them or using them to monitor methods and report on outputs Advanced expertise of at least one programming language, e.g. SAS, R, Python, SQL and expert knowledge of Excel and Visual Basic Experience in independently validating/reviewing or building financial risk models/methods Superior written and oral communication More ❯

Siebel) gained from implementing methods in such systems, validating them or using them to monitor methods and report on outputs Advanced expertise of at least one programming language, e.g. SAS, R, Python, SQL and expert knowledge of Excel and Visual Basic Experience in independently validating/reviewing or building financial risk models/methods Superior written and oral communication More ❯

Siebel) gained from implementing methods in such systems, validating them or using them to monitor methods and report on outputs Advanced expertise of at least one programming language, e.g. SAS, R, Python, SQL and expert knowledge of Excel and Visual Basic Experience in independently validating/reviewing or building financial risk models/methods Superior written and oral communication More ❯

Siebel) gained from implementing methods in such systems, validating them or using them to monitor methods and report on outputs Advanced expertise of at least one programming language, e.g. SAS, R, Python, SQL and expert knowledge of Excel and Visual Basic Experience in independently validating/reviewing or building financial risk models/methods Superior written and oral communication More ❯

Role is Right For You? Minimum Requirements: Bachelor's degree in a quantitative field with 4+ years work experience in data analytics using statistical packages (e.g., SQL, Python, R, SAS, Stata, MATLAB). Or Master’s degree with 2+ years data analytics work experience using statistical packages or a PhD in a quantitative field. Programming: working knowledge of SQL More ❯

Role is Right For You? Minimum Requirements: Bachelor's degree in a quantitative field with 7+ years work experience in data analytics using statistical packages (e.g., SQL, Python, R, SAS, Stata, MATLAB). OR a Master’s degree in a quantitative field with 5+ years data analytics work experience using statistical packages. OR a PhD in a quantitative field More ❯

JOB TITLE: Data Engineer (SAS) Salary: £47,790 - £55,000 LOCATION: Halifax HOURS: Full time WORKING PATTERN: Hybrid, 40% (or two days) in our Halifax office. About this opportunity Exciting opportunity for a Data Engineer to join the Consumer Risk Data Labs to focus on assisting in the design, development, and maintenance of the Le Mans analytical SAS … our 26 million customers. We're growing with purpose. Join us on our journey and you will too What you'll do... Supports the management and operations of the SAS Data Warehouse (Le Mans) which supports 1100+ colleagues across Risk. Collaborates across technology and business teams to deliver the required level of service and data capabilities. Delivers support and … resolves issues on the production scheduled batch on Le Mans. This requires experience of SAS DI Studio. Supports oversight, process execution and customer engagement for compliance and governance (ITEC, UAM, Cyber, SOX, Deloitte, Audit, etc). This requires experience of SAS Management Console. Work closely with customers to understand requirements and specifications, collaborate with team to identify and More ❯

We are looking for a senior analyst who has experience with SAS and has a track record of adding value through analysis and insight. You’ll be responsible for providing our key stakeholders with analysis on customer, market and product portfolio performance, as well as supporting strategic objectives through the development of data solutions. Retail Products look after the … drive the insights that will enable us to meet and exceed our business goals. You will be working with our internal customers to understand their analytical requirements and using SAS to develop solutions, which drive the strategy of the business. This includes developing an understanding of the portfolio dynamics and the customer base. The data you gather, the insights … invaluable, not only to our immediate stakeholders but to colleagues right across the business. About you As a minimum you’ll need to have: Hands on experience using Base SAS or Enterprise Guide and be proficient in the use of Macros and SQL. Experience interpreting and correlating a wide range of business performance measures and presenting information to a More ❯

for SC Clearance. Technical Skills SQL (MS-SQL Server) HTML, CSS .NET Framework Windows and MS Office tools Windows Server Maintenance Database Administration (DBA) Data Analytics (Microsoft Excel, PowerBi, SAS VIYA) Additional Benefits Career coaching and upskilling opportunities. Assignments with global companies and potential for international work. Re-skilling and developing non-linear career paths. Benefits including annual leave More ❯

quantitative analysis including data mining on highly complex data sets Data querying languages, such as SQL, scripting languages, such as Python, or statistical or mathematical software, such as R, SAS, or Matlab Applied statistics or experimentation, such as A/B testing, in an industry setting Communicating the results of analyses to product or leadership teams to influence strategy … or experience in the following: Performing quantitative analysis including data mining on highly complex data sets. Scripting language: Python Statistical or mathematical software including one of the following: R, SAS, or Matlab Applied statistics or experimentation, such as A/B testing, in an industry setting Machine learning techniques Quantitative analysis techniques, including one of the following: clustering, regression More ❯

with FRTB IMA , IFRS 9 , Basel III/IV , or similar regulatory frameworks. Strong understanding of ECL modeling , risk systems, and financial data flow. Familiarity with tools such as SAS , Python , or R . Excellent documentation, stakeholder communication, and solution design skills. Preferred Qualifications: Degree in Mathematics, Statistics , or a related quantitative field. PRINCE2 Practitioner or ICAEW ACA certification More ❯

solutions adhere to AIG standards for security. Document enhancements and improve existing documentation of actuarial processes Involvement in transitioning data and systems from Mainframe to Snowflake Involvement in converting SAS programs to Python/R What you'll need to succeed: 5+ years Data Engineering experience Good experience in Data Application management Experience in Mainframe technologies – COBOL, JCL, TSO … ISPF, ENDEVOR, SDSF, JMR, IBM File Manager SAS programming skills SQL experience Experience of Oracle, PowerBI, Snowflake, JAVA, Microsoft technologies desirable R and Python experience desirable Experience in developing and productionizing complex data engineering solutions. Strong problem-solving skills with attention to detail Ability to work under challenging production situations fulfilling tight deadlines and budget constraints. Ability to work More ❯

and presentations BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an 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 ❯

well as the Medical Monitors to support cross functional departmental communication as applicable on data capture/review trends (e.g., Medical Monitoring, Safety, Clinical Operations, Project Management, Data Management, SAS Programming, Biostatistics, Translational Science, other vendors, etc.) to meet project deliverables in compliance with GCP/ICH, the protocol, oncology standards and applicable Project Plans and SOPs Provides input More ❯