1 to 25 of 51 SAS Jobs with Hybrid or WFH Options

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 »

to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart more »

to drive fact-based decision-making. Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart more »

when working with public data such as the Data Protection Act. Knowledge of industry-standard data management or analysis software, such as MS SQL, SAS, Tableau, R or PowerBI. Working knowledge of agile methodologies or relevant experience or training. Desirable Understanding of data security & information governance. Knowledge of testing more »

Able to analyze and visualize large sets of data Technical proficiency in Tableau and TeamMate Knowledge of programming languages including but not limited to SAS, SQL, Oracle, R, MATLAB, Python Proficiency in statistics and statistical packages/applications used to analyze data sets more »

staff wellbeing and development, encouraging a collaborative team environment and a compelling place to work. So, if you have: Strong analytical skills - Either SQL, SAS, Python or Excel A good understanding of credit risk concepts and experience implementing change in risk strategies. Experience analysing reporting data and presenting insight more »

Google Drive suite, including Google Slides & Google Sheets Experience with Tableau or other data visualisation tools is a plus Experience with SQL, R, or SAS is a plus Deep passion for the sports industry POSITION DETAILS: Full Time Must be eligible to work in the UK WORKING CONDITIONS This 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 »

methodologies (e.g., Waterfall, Agile, Scrum, DevOps, Testing), frameworks and best practices. Advanced working knowledge in SQL and relational databases (Teradata, Microsoft SQLServer, Oracle or SAS), as well as working familiarity with a variety of NoSQL databases and cloud-based data platforms such as Snowflake. Technical Business Analysis experience. A more »

actuary with relevant experience in the insurance industry. Strong analytical and problem-solving skills, with proficiency in statistical modelling 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 »

techniques Awareness of regulatory standards, ICH/GCP guidelines, and HTA regulations Understanding of the clinical drug development process Proficiency in statistical programming languages (SAS and/or R) Strong problem-solving abilities and consistent attention to detail Willingness to learn, proactive, self-motivated, flexible Team player, strong communication more »

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 more »

and statistics positions available. Keywords: clinical, data, management, manager, quality, systems, process, compliance, controls, tools, CSV, validation, regulatory, compliance, computer, systems, SDTM, ADAM, CDISC, SAS, Snowflake, QA, audit, 21-CFR Part 11, Director, VP, drug, development, R&D, discovery, IT, pharmaceutical, biotech, operations more »

of designing and developing complex data visualisation/reporting with PowerBI Constructing queries and data sets under a controlled development methodology. Desirable Python Proficient SAS VBA - Proficient Experience in Credit Analytics/Portfolio Analytics (Cards or Loans preferred) Hybrid role (office is based in Sheffield). Immediate start date. more »

particular GLMs Knowledge of relevant machine learning techniques – in particular GBMs Proven experience in working with large data sources Good command of Python, SQL, SAS or similar coding languages Experience of Willis Towers Watson software such as Radar or Emblem Good understanding of the various elements of a Technical 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) If the above role is of more »

ensuring key points are escalated. What you will need: Analysis experience. in working with large data sources and a good command of Python, SQL, SAS or similar coding languages. with Radar and Emblem understanding of the various elements of the price insurance markets set, and how they can optimise more »

experience if they can demonstrate a sound knowledge and understanding of the Commercial Lines space). Experience using tools such as Python, R, SQL, SAS, Excel, VBA. Confident in use of Pricing & Actuarial software such as Emblem and Radar Fellow of the Institute of Actuaries or equivalent qualification with more »

relevant post-qualification experience. Confident in use of Pricing & Actuarial software such as Emblem and Radar Experience using tools such as Python, R, SQL, SAS,, Excel, VBA Strong business acumen What can we offer you We believe you should be well rewarded for the passion and enthusiasm you put more »

Insurance Experience and understanding of Motor insurance products. Experience of coaching and developing analysts within the team. Confident with analytics tools including Emblem, Radar, SAS, R, Python, SQL, etc. If you have the above skills and are looking for a new role or a step up, please get in more »

Statistics or related scientific field with proven experience in applying statistical methods in biomedical research, Pharma, CRO, Academia or Healthcare industry. • Good skills in SAS and R required. more »

using Emblem or Radar software and having built/developed Radar models. Strong knowledge of UK Personal Lines Insurance markets. Proficiency in programming languages: SAS, SQL, Python, R. Excellent written and verbal communication skills. THE BENEFITS Up to £45,000 salary. Hybrid working. Benefits package. Contributory pension scheme with more »

programming languages (e.g., XML, JavaScript, or ETL frameworks). Knowledge of statistics and proficiency in statistical packages for analysing large datasets (e.g., Excel, SPSS, SAS). Strong analytical skills, capable of collecting, organising, analysing, and disseminating substantial amounts of information with precision and attention to detail. Proficient in queries more »