1 to 25 of 124 SAS Jobs in England

Senior SAS Administrator - 12 month contract - £500p/d - SC We are looking for a Senior SAS Administrator to work with us on an initial 12 month basis for a government client project. Due to the nature of the project you will be required to go through a … role will require occasional travel to London). Please see the desired skill-set below: Ability to develop ETL solutions to surface data in SAS Troubleshooting SAS on Cloud functional and data ingestion problems. SAS 9.4 + SAS VIYA We have a huge team in place more »

Senior SAS Administrator - 12 month contract - £500p/d - SC We are looking for a Senior SAS Administrator to work with us on an initial 12 month basis for a government client project. Due to the nature of the project you will be required to go through a … role will require occasional travel to London). Please see the desired skill-set below: Ability to develop ETL solutions to surface data in SAS Troubleshooting SAS on Cloud functional and data ingestion problems. SAS 9.4 + SAS VIYA We have a huge team in place more »

Engineering. Prior experience in Credit Risk Model Development or Model Validation within the banking or financial industry. Proficiency with Data Analysis tools such as SAS, Python, and MS Suite (Word, Excel, PowerPoint, Project, Visio, and SharePoint). Previous experience in the banking or financial industry with knowledge of capital 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 »

indicators as well as recommendations to senior leaders Experience in quantitative research or analyses Experience in program/project management Experience working with SPSS, SAS or other statistical software packages Experience utilizing SQL Advanced Excel and Access skills Preferred qualifications Analysis experience in Advanced Planning & Optimization Systems, or Enterprise more »

role you will: Have experience in delivering innovative and creative data science/advanced analytics solutions to address complex business problems, using coding in SAS/Python/R or similar Have deep knowledge of different advanced techniques, such as Gradient Boosting, Neural Networks, Support Vector Machines, unsupervised learning more »

a plus. Proven experience in credit risk analysis within a banking or financial services environment. Strong proficiency in statistical modeling and programming languages (e.g., SAS, R, Python) for data analysis. In-depth understanding of credit risk principles, regulatory requirements, and industry best practices. HOW TO APPLY Please send CV 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 »

cross team/department projects to achieve a common goal • Strong analytical and statistical experience including GLMs • Confident with analytics tools including Emblem, Radar, SAS, R, Python, SQL, etc. • Experience and understanding of Commercial Lines insurance and products • Experience of coaching and developing analysts within a team What can more »

commercial insurance pricing. Personal lines pricing considered a plus Able to code in Python or similar languages as prior experience with any programming language (SAS, SQL, Big Query or a similar language) is preferred Highly motivated and ability to work off your own initiative Strong communication and interpersonal skills more »

Angular, mobile), Databases (e.g. Postgres, BigQuery), Integration (e.g. API, gRPC, Events), Data processing (e.g. Spark, BQ SQL, or other), Decision Systems (e.g. Power Curve, SAS ID, InRule) Proven ability to deliver in a matrixed organisation, including working collaboratively and resolving conflicts Proven ability to work with ambiguous problems and more »

Angular, mobile), Databases (e.g. Postgres, BigQuery), Integration (e.g. API, gRPC, Events), Data processing (e.g. Spark, BQ SQL, or other), Decision Systems (e.g. Power Curve, SAS ID, InRule) Proven ability to deliver in a matrixed organisation, including working collaboratively and resolving conflicts Proven ability to work with ambiguous problems and 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 »

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 »

of using Radar pricing software Strong data and analytical skills, working with large volumes of complex data. Experience using data analysis tools such as SAS, Python, R, SQL, Excel, VBA Ability to communicate findings to technical and non-technical audiences. Strong problem-solving skills. Business acumen as well as 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 »

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 »

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 »

TO APPLY Please register your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst 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 »

actuary with relevant experience in the insurance industry. * Strong analytical and problem-solving skills, with proficiency in statistical modeling and data analysis tools (eg, SAS, R, Python). * Solid understanding of insurance principles and pricing techniques. * Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross more »

to communicate complex concepts to non-expert audiences Ability to partner with stakeholders and build great relationships Good skills with modelling software such as SAS, SQL, MS Excel (including VBA), Python, R If this sounds like the role for you then please apply today! Alternatively, you can refer a 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 »

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 »

worked within the financial services industry and the credit fundamentals of different asset classes Management and leadership skills Skills with modelling software such as SAS, SQL, MS Excel (including VBA), Python, R Ability to think creatively, generate innovative ideas, challenge the status quo and deliver effectively To find out more »