51 to 75 of 423 SAS Jobs

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 »

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 »

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 »

Responsibilities: Manage rate changes and implementation of new models and pricing algorithms. Contribute to the development of the pricing ecosystem. Build predictive models using SAS, RADAR , EMBLEM, and other software packages Help to shape the direction of the product with a forward-looking approach and willingness to experiment. Consider 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 »

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 »

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 »

credit fundamentals of different asset classes to communicate complex concepts to non-expert audiences 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 »

designs for multiple customer-facing solutions which will include the whole sales lifecycle through multiple channels. You will work closely with peers (EAs and SAs), in-house development teams and 3rd party suppliers to transform the existing customer-facing platforms. Across the deliverables, re-use of designed and delivered more »

the cloud - Data Quality and Data Governance management - Working cross-functionally with tech and credit teams Skills/Requirements: - Good SQL experience is essential - SAS experience needed - Python experience (desirable) Interview Process: One Stage: Competency questions and Data Case Study more »

industry Deep understanding of actuarial principles, statistical modelling techniques, and insurance pricing methodologies Advanced analytical skills with proficiency in statistical software (e.g., R, Python, SAS) and data visualisation tools Strong business acumen with the ability to translate actuarial analysis into actionable pricing strategies Excellent communication, presentation, and stakeholder management more »

At least 4 years prior experience in pricing analytics within insurance Essential to have experience using Emblem Good knowledge of programming software such as SAS, SQL, Python or R Prior experience with insurance pricing models, either in development or deployment SALARY AND BENEFITS Up to £70,000 base salary more »

At least 4 years prior experience in pricing analytics within insurance Essential to have experience using Emblem Good knowledge of programming software such as SAS, SQL, Python or R Prior experience with insurance pricing models, either in development or deployment SALARY AND BENEFITS Up to £70,000 base salary more »

and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.); Fraud - (AML/CTF, Investigation, CFE’s 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 more »

particularly useful if you have: Experience producing consolidated regulatory reporting across complex group structures. It would be useful if you have: Experience working with SAS or similar data processing/calculation tools. Our Customer First behaviours are all about putting customers and members at the heart of how we more »

and technical experience within general pricing such as trading, modelling, optimisation etc. Knowledge and/or desire to learn the following software; Radar, Emblem, SAS, SQL, Python Display curiosity and collaboration as well as being an excellent communicator and a good problem solver What we offer: We recognise we more »

and technical experience within general pricing such as trading, modelling, optimisation etc. Knowledge and/or desire to learn the following software; Radar, Emblem, SAS, SQL, Python Display curiosity and collaboration as well as being an excellent communicator and a good problem solver What we offer: We recognise we more »

and technical experience within general pricing such as trading, modelling, optimisation etc. Knowledge and/or desire to learn the following software; Radar, Emblem, SAS, SQL, Python Display curiosity and collaboration as well as being an excellent communicator and a good problem solver What we offer: We recognise we more »

understanding of applicable database technologies (DB2, Oracle, SQL Server), performance/clustering/scalability concerns, Data Warehousing and reporting (e.g. Business Objects, Ab-initio, SAS) and Enterprise content management products. Knowledge of repositories, code controls and development tools such as JIRA, Confluence and similar tools Application and Web Service more »

to support department data initiatives which help to inform the overall strategic direction of the business To support the department with ongoing migration to SAS Viya and look to utilise new technology to drive efficient ETL processes. To constantly review the way data is processed in the business, looking … data processing completes, to agreed timelines with no failures. Essential Skills Previous experience in a DW or BI role Essential Experience of coding in SAS and SAS Macro’s Essential Experience of SAS DI Studio & Enterprise Guide Experience with data modelling techniques Experience with ETL concepts and … able to deliver to agreed deadlines Confident in own judgement and decision-making, sees challenges as development opportunities not problems Desirable Skills Experience of SAS Viya Experience of SAS Visual Analytics Experience of SQL Server Experience with Apache Airflow Experience using MS Dev Ops for workflow and CI more »

SAS (primary), pearl, shell scripts (secondary) engineers who has experience to convert to Python , DBT based pipelines and load data to Snowflake. Converting SAS based module to python based Candidates who have data management experience in Snowflake with expertise in Python, DBT , Airflow or similar technologies DBT , Snowflake more »