time series analysis. • Programming skills in one or more of the following programming/scripting languages round out your profile: Python, R, VBA, SQL, SAS, STATA, Matlab. • You are fluent in English and have a very good knowledge of German (B2 level). 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 »
london, south east england, United Kingdom Hybrid / WFH Options
Carousel Consultancy Ltd
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 »
Leeds, West Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
In Technology Group Limited
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) Experience in the Insurance Industry (highly more »
skills of analytical teams Requires a minimum of 5 years of experience providing hands on technical direction as needed Requires high proficiency in SQL, SAS & Python Healthcare experience a plus Understanding of machine learning approaches is a plus Pay Range: The pay range for this role is: $ 145200.00 to more »
Guildford, Surrey, South East, United Kingdom Hybrid / WFH Options
Allianz Insurance Plc
of using Radar pricing software Strong data and analytical skills, working with large volumes of complex data. Experience using data analysis tools such as SAS, Python, R, SQL, Excel, VBA Ability to communicate findings to technical and non-technical audiences. Strong problem-solving skills. Business acumen as well as more »
we’re looking for: Detailed understanding of technical pricing and problem solving. Strong numeracy and reasoning skills supported by strong programming skills such as SAS, R, Python. Knowledge of Willis Towers Watson pricing tools, Emblem & Radar would be an advantage. Graduate calibre, preferably with specific education in mathematics/ more »
experience in building, developing, and testing algorithms. Previous experience in a similar role within insurance Familiarity with programming languages and software such as SQL, SAS Python, Tableau. Proficiency in defect management, including root cause analysis, design, and deployment of solutions. Ability to define and execute test strategies to minimize more »
Leeds, England, United Kingdom Hybrid / WFH Options
Direct Line Group
experience in building, developing, and testing algorithms. Previous experience in a similar role within insurance Familiarity with programming languages and software such as SQL, SAS Python, Tableau. Proficiency in defect management, including root cause analysis, design, and deployment of solutions. Ability to define and execute test strategies to minimize 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 »
Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/ 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 »
Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/ more »
TO APPLY Please register your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst 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 »
actuary with relevant experience in the insurance industry. * Strong analytical and problem-solving skills, with proficiency in statistical modeling 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 »
retail banking. Presentation of model risk papers for the risk oversite committees. Additional Notes Investment banking quantitative experience is not relevant for this role. SAS model developers willing to move into validation may be considered for other roles. The position will be based in the City London. Please send 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 »
Wokingham, Berkshire, South East, United Kingdom Hybrid / WFH Options
Numerus
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 »
Employment Type: Permanent, Part Time, Work From Home
the operations teams with actionable insights to enable ongoing improvements. The Applied Scientist will use a variety of tools (e.g. Python, SQL, SageMaker, R, SAS, etc.) to deep dive data sources to discover useful patterns that will drive process improvement or remediate systemic issues. Key job responsibilities • Design, develop more »
the operations teams with actionable insights to enable ongoing improvements. The Applied Scientist will use a variety of tools (e.g. Python, SQL, SageMaker, R, SAS, etc.) to deep dive data sources to discover useful patterns that will drive process improvement or remediate systemic issues. Key job responsibilities • Design, develop more »
the operations teams with actionable insights to enable ongoing improvements. The Applied Scientist will use a variety of tools (e.g. Python, SQL, SageMaker, R, SAS, etc.) to deep dive data sources to discover useful patterns that will drive process improvement or remediate systemic issues. Key job responsibilities • Design, develop more »
the operations teams with actionable insights to enable ongoing improvements. The Applied Scientist will use a variety of tools (e.g. Python, SQL, SageMaker, R, SAS, etc.) to deep dive data sources to discover useful patterns that will drive process improvement or remediate systemic issues. Key job responsibilities • Design, develop more »
the operations teams with actionable insights to enable ongoing improvements. The Applied Scientist will use a variety of tools (e.g. Python, SQL, SageMaker, R, SAS, etc.) to deep dive data sources to discover useful patterns that will drive process improvement or remediate systemic issues. Key job responsibilities • Design, develop more »
