14 of 14 Permanent SAS Jobs in Manchester

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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) Proven experience of modelling using WTW toolkit (Emblem and Radar) Proficient More ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 and Emblem software is preferred Proficient More ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 and Emblem software is preferred Proficient More ❯

trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW’s Radar software is preferred, but not More ❯

trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred, but not More ❯

techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW’s Radar and Emblem software is preferred Excellent communication More ❯

techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW's Radar and Emblem software is preferred Excellent communication More ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 ❯

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 ❯

Database Technologies (Oracle, DB2, MS SQL Server, AWS RDS and RedShift) Data exploitation tools, including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide/Enterprise Miner, SAS Visual Analytics, PowerBI, R Studio and R Shiny Data quality tools such as SAS Data Management More ❯

and our Glassdoor score is impressive! Are you a dynamic professional with exceptional stakeholder management skills? Do you have hands-on experience with SAS, SQL, or similar programs? Are you well-versed in actuarial methodologies, particularly claims reserving? If so, we want you to join our team! We're … supporting their career development. Core skills we're looking for: Strong stakeholder management and the ability to present information to Exec level Experience using SAS, SQL, or similar programs Knowledge of actuarial methodologies, specifically claims reserving What's involved: Delivering regular reports to business leaders on claims indemnity performance … support monthly and quarterly executive reporting Analyzing performance trends, inconsistencies, and opportunities in line with executive priorities Building and maintaining data models (typically using SAS), utilising various data sources to develop insights into claims performance across the balanced scorecard Presenting and visualising analysis clearly to add value, with insightful More ❯

Senior Marketplace Consultant, Strategic Account Services (SAS) Job ID: Amazon EU SARL (UK Branch) Our vision is to make Amazon the best place for third party Sellers of all sizes to grow and serve customers, leveraging world-class tools and services. The Strategic Account Services (SAS) team is … using a wide set of Amazon tools. The Senior Marketplace Consultant is responsible for working with up to 7 Selling Partners as part of SAS program, to help them grow their business on Amazon's EU Marketplace. You will work on initiatives where business problems, account strategy or direction … communicator, able to lead difficult C-level conversations with a high degree of discretion and diplomacy. Hold expert knowledge across the breadth of all SAS levers (Fulfillment, Expansion, Marketing, Sustainability, Brand and Catalog Optimization) and regularly dedicate time to expand your knowledge to additional 3P services, by identifying knowledge More ❯

how we track our studies, how we define our internal standards and how we create our datasets and outputs. The candidate must have strong SAS knowledge, 2 years Lead Statistical Programmer experience and a strong working knowledge of the CDISC standards. Working on Phase I/Early Phase trials … contribute to team meetings, including departmental meetings and both internal and external project meetings, ensuring clear communication and alignment across all stakeholders. Essential Skills : SAS Expertise : Strong knowledge of SAS programming for data analysis and reporting. Leadership Experience : Minimum of 2 years of experience in a Lead Statistical More ❯