3 of 3 Remote Computer Science Jobs in Salford

standards. Working on Phase I/Early Phase trials and experience with R programming are desirable but not essential. Ideally candidates with Mathematics/Computer Science degrees are encouraged to apply, but candidates with suitable experience are considered. The role involves defining our internal standards, leading the programming … in a Lead Statistical Programmer role. CDISC Standards : Solid working knowledge of CDISC standards (SDTM, ADaM) and their implementation. Educational Background : Degree in Mathematics, Computer Science, or a related field, or equivalent professional experience. Internal Standards Development : Ability to define and develop internal programming standards and processes. Project More ❯

a Pricing Analyst, you will use your analytical skills to: Support pricing teams in building and maintain sophisticated models via a range of data science techniques. Monitor pricing performance via automated reporting structures. Enable growth within Motor & Home portfolios. Working in the retail pricing team and closely with underwriting … technical pricing & data science teams, your insight and recommendations will enable improvements to products and prices giving Markerstudy a critical advantage in the increasingly competitive insurance market. Key Responsibilities: Support development of advanced pricing models using a combination of traditional & data science techniques across Private Car, Commercial Vehicle … Home accounts. Advance the adoption of data science & statistical techniques across pricing & underwriting. Communicate results to key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in pricing, underwriting and data science. Facilitate automation More ❯

following predictive modelling techniques; Logistic Regression, GBMs, 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 More ❯