1 to 25 of 127 SAS Jobs in the UK

Stride Recruitment are looking for skilled and motivated SAS Data Engineers to join a consulting firm offering end-to-end data solutions, delivering best-in-class experiences for their external clients. Technical Background: SAS SAS Base Azure or AWS or GCP Python/PySpark Proficiency in SQL … plus your birthday off and the opportunity to buy additional holiday. Private medical insurance. Life assurance salary. Enhanced pension scheme with company contributions Keywords: SAS, BASE SAS, SAS/SQL, Azure, AWS, GCP, Data Engineer more »

they are looking to hire a Data Engineer to assist with the next phase of their projects in flight. Your new role As a SAS Certified DI Developer you will work with the latest tools and technologies to work towards business objectives in line with the goals of the … wider transformation. You will be familiar with technologies such as; SAS DI Studio Base SAS SAS Macro SAS Admin SAS 9.4 What you'll need to succeed The ideal candidate will have experience of the following; * Supporting the Design/Build and Implementation of the … Project* Problem solving issues faced getting the tools integrated into the PSoS estate to a production ready state.* Implementing a support framework for the SAS tools when they are in production.o Data Integration (DI) Studioo Management Consoleo Data Lineageo Business Data Networko Reference Data Managero SAS Studioo Federation more »

communication and collaborative skills – a huge part of the job is talking to people to understand requirements and talking to technology teams and other SAs to ensure we build the right thing in the right way. Experience of enterprise architecture frameworks such as TOGAF. Group Enterprise Technology Solutions Our more »

equivalent in Mathematics, Statistics, Data science/analytics, or other relevant scientific. Previous Statistical Programming experience within the pharmaceutical industry essential. Excellent knowledge of SAS essential and R or Python advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and more »

systems Develop and implement data governance policies and procedures to ensure data is managed ethically, securely and in compliance with Regulatory requirements Data Platforms: SAS, Oracle, Cloud: Provide technical leadership to data engineering teams Collaboration: Work cross functional teams to ensure that data systems are aligned with business objective more »

Strong analytical background and numerical skills. Educational background in statistics, mathematics, data science, or engineering. Hands-on experience with statistical data programs such as SAS, SQL, R, or Python. Proactive, able to act on own initiative and deliver high-quality outcomes. Excellent communication skills, both verbal and written, with more »

stakeholder dynamics, procedural intricacies, and technological hurdles. Expertise in business analysis, data management encompassing quality assurance, metadata oversight, data structuring, and governance. Proficiency in SAS or Python to extract insights and drive informed decision-making. Familiarity with AWS. Exceptional proficiency in both written and verbal communication, with a keen more »

Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »

role, i.e., reporting role, analyst, risk management, finance or treasury is desirable but not essential. Experience of using relevant software and programming languages, i.e., SAS is desirable but not essential, SQL, Python or R experience would also be useful within the team. A flexible and adaptable approach to change more »

a quantitative discipline (statistics, economics, mathematics, marketing analytics) 5+ years of experience in marketing analytics field Proficient in Google Analytics and BigQuery Proficient in SAS and/or SQL; minimum 5 years of experience Team player with the ability to mentor and manage junior resources Proficient in Microsoft Office more »

who are looking for two Graduates to join their Analytics/Data Science team. The ideal candidate must have some programming experience (e.g Python, SAS, R etc) and have a numerate degree (e.g. Mathematics, Statistics, Operational Research, Economics, Physics etc). (No sponsorship available and must be able to more »

concepts and strategies Optimisation and testing pricing models to increase effectiveness Experience Required: Experience in pricing analytics within the insurance industry. Experience with SQL, SAS, and/or Python. Proven experience in building pricing models using Emblem and/or radar. Excellent communication and interpersonal skills Experience working with more »

results using A/B & MVT Skills and experience: - Financial Services, Banking or retailer customer insight experience (regulated environment) Expert knowledge of SQL and SAS or Python as a programming tool Statistical and behavioural analysis including test and learn, optimisation and analytical models ie scorecards, propensity, CHAID, forecasting (CRM more »

knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information Exceptional attention to detail and accuracy Solid more »

an expert level Experience on working on decisioning systems for UK mortgages Strong coding knowledge and experience working with analytical tools such as SQL, SAS, R or Python) Knowledge of the consumer credit sectors and products, ideally residential and Buy to Let mortgages with a core background in risk more »

an expert level Experience on working on decisioning systems for UK mortgages Strong coding knowledge and experience working with analytical tools such as SQL, SAS, R or Python) Knowledge of the consumer credit sectors and products, ideally residential and Buy to Let mortgages with a core background in risk more »

degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS/SQL language Experience in using specialist pricing software (i.e. Emblem and Radar) – (Desirable) Experience using Power BI (Desirable) Experience in the Insurance Industry more »

degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS/SQL language Experience in using specialist pricing software (i.e. Emblem and Radar) - (Desirable) Experience using PowerBI (Desirable) Experience in the Insurance Industry (highly more »

experience in building, developing, and testing algorithms. Previous experience in a similar role within insurance Familiarity with programming languages and software such as SQL, SAS Python, Tableau. Proficiency in defect management, including root cause analysis, design, and deployment of solutions. Ability to define and execute test strategies to minimize more »

experience in building, developing, and testing algorithms. Previous experience in a similar role within insurance Familiarity with programming languages and software such as SQL, SAS Python, Tableau. Proficiency in defect management, including root cause analysis, design, and deployment of solutions. Ability to define and execute test strategies to minimize more »

Python, including handling large datasets and writing functions. Experience: Relevant experience in Credit Risk Model Development or Validation. Tools: Experience with data analysis tools (SAS, Python) and MS Suite (Word, Excel, PPT, Project, Visio, and SharePoint). Industry Knowledge: Prior experience in banking/financial industry with knowledge in more »

Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS). more »

of departments. Qualifications: Degree in a numerical discipline or equivalent. Experience in insurance pricing or related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication more »

with Data Integration tooling/Frameworks - Databricks, Oracle Data, Oracale Warehouse, AWS Glue, Azure Data Factory (or similar) Extensive experience with Python, Spark, SQL, SAS, MATLAB Strong SQL experience Good understanding of data streaming Experience using cloud components to build end-to-end data solutions, from design to data more »

and data analysis techniques Ability to produce clear graphical representations and data visualisations. Knowledge of data analysis tools, for example, R Programming, Tableau Public, SAS, Apache Spark, Excel, RapidMiner Knowledge of data modelling, data cleansing, and data enrichment techniques An understanding of data protection issues Experience of working with more »