226 to 250 of 1,109 R Jobs in the UK

Psychology, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups Working knowledge of one or more of the following: SQL, R, Python, C++, Java Clear, logical analytical approach to problem-solving Ability to investigate data, find trends, forecast performance and provide insightful recommendations It's a bonus if you have! Previous More ❯

Psychology, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups Working knowledge of one or more of the following: SQL, R, Python, C++, Java Clear, logical analytical approach to problem-solving Ability to investigate data, find trends, forecast performance and provide insightful recommendations It's a bonus if you have! Previous More ❯

suggest and test possible improvements and ensure robustness and validity. Requirements: Proven experience in developing and implementing Marketing Mix Models Be an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic More ❯

ability to influence others around you in the team. Strong attention to detail with exceptional analytical skills, including the ability to interpret complex business processes. Knowledge of SQL, Python, R or similar programming languages is advantageous If this role is of interest, please apply directly with an updated CV. Apply for this job Regional accountancy, finance and HR recruiters More ❯

the 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 of WTW’s Radar and Emblem software is preferred Proficient at communicating results More ❯

the 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 of WTW s Radar and Emblem software is preferred Proficient at communicating results More ❯

the 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 of WTW’s Radar and Emblem software is preferred Proficient at communicating results More ❯

the 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 of WTW’s Radar and Emblem software is preferred Proficient at communicating results More ❯

the 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 of WTW's Radar and Emblem software is preferred Proficient at communicating results More ❯

the 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 of WTW’s Radar and Emblem software is preferred Proficient at communicating results More ❯

or Econometrics • A relevant Master's degree is a strong advantage • Advanced Microsoft Excel skills (essential) • Problem solving skills • Experience managing large datasets using tools such as SAS, Stata, R, or Python • Strong communication skills and attention to detail • Comfortable working directly with clients and partners to obtain, validate, and interpret data If this sounds like the role for you More ❯

of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. • Experience using statistical software and programming using R, SQL, Python or similar in datasets. • Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as well as to drive collaboration. More ❯

Detail-oriented and able to manage multiple priorities in a fast-paced environment. Ability to work independently as well as collaboratively within a team. Excellent communication skills in English. R o l e Location/Hybrid Schedule This role can be based in our Jersey, London, Southampton, Luxembourg or Dublin offices. Although the nature of most of the roles within More ❯

Science) 3-5 years of work experience Knowledge of financial markets and financial instruments; exposure to related risk analytics and pricing preferred Previous programming or scripting experience (using Python, R, VBA or similar) required Proficiency using Microsoft Office Excel and related advanced features Proficiency in SQL to analyze and manage large data sets Strong analytical and organizational skills with acute More ❯

NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

world business problems using machine learning, deep learning, data mining and statistical algorithms - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - Strong analytical thinking - Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong More ❯

of high-quality data visualisations, dashboards, products and/or reports. The post holder should be an experienced user of advanced Excel. ( ESSENTIAL) , and experience of PR2, Business Objects, R and/or Power BI would be beneficial (DESIRABLE) . Critical Analysis & Report Writing: Experience of collating and analysing complex information into high quality and balanced products/reports, identifying More ❯

attention to detail. Entrepreneurial mindset, with strong work ethic, high sense of proactivity, and can-do attitude. Experience with data manipulation tools such as MS Excel, SQL, PowerBI, or R (or willing to learn this). Self-motivated with the ability to think in terms of solutions and improvements. You will be proactive, take ownership, and act with urgency. Benefits More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI More ❯