Central London, London, United Kingdom Hybrid / WFH Options
Gerrard White
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 of WTW's Radar and Emblem software is preferred Proficient at communicating results in a More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
ADLIB
and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to design creative More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
the business on ad hoc project work YOUR SKILLS AND EXPERIENCE : At least 3 years prior experience in pricing analytics within insurance Good knowledge of Python/SQL/SAS/R is essential Prior exposure to or experience with rate changes is essential Strong communication skills and desire to learn is key SALARY AND BENEFITS Up to More ❯
reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Veramed
reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯
Central London / West End, London, United Kingdom Hybrid / WFH Options
Veramed
reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and develop solutions for internal and external clients. Present proposals, methodologies, and results to stakeholders, explaining complex statistical techniques to diverse … regulatory environment in which clients operate. Collaborate closely with internal Sales and Strategy Consulting teams to identify and shape broader opportunities and solutions. YOUR SKILLS AND EXPERIENCE Experience with SAS, SQL, or Python in a credit risk environment is required. Strong academic background in a STEM field. Experience with credit bureau data needed. 6 + years of experience in More ❯
