51 to 75 of 220 R Jobs in the UK excluding London

of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala. Experience with any of the following would be desirable but not essential; Microsoft's Fabric data platform, Experience with ADF such as More ❯

analysis, and machine learning techniques Extensive experience of information analysis, business intelligence and reporting Experience of using Business Intelligence tools (e.g. SQL, Python/R, Azure services) Extensive experience of analysis of NHS Information and data flows to support healthcare Experience of supporting non specialist staff to interpret and apply More ❯

including formulas, pivot tables, macros/automation, and modelling. An interest and experience in coding - comfortable writing scripts or simple applications (e.g. in Python, R or VBA) to automate tasks, analyse data, or solve problems and a desire to take this further. Strong experience in data management and visualisation tools More ❯

Essential Experience: Strong background in data analysis within local government or public services Proficiency in SQL , Power BI or Tableau , and preferably Python or R Understanding of public sector data systems, governance, and local government datasets Ability to communicate complex data clearly and effectively Comfortable working across multiple projects in More ❯

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 More ❯

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 More ❯

in developing and applying machine learning models, particularly in deep learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. More ❯

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 software is preferred Proficient More ❯

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 software is preferred Proficient More ❯

MS qualifications in Econometrics, Macroeconomics, Computer Science, Statistics, Data Science or similar fields Hands-on experience with at least one scripting language e.g. Python, R, MATLAB and relevant statistical packages. Hands-on experience with complex SQL Expert knowledge of Tableau Extensive experience in senior data roles where data plays a More ❯

live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a More ❯

live deployment of data science solutions Appreciation of policy and claims processes and conduct risks Knowledge of data science toolkits and languages, such as R, Python, Scala High performing experience in data science and data analysis Experience of utilising system integration techniques such as APIs, web services Understanding of a More ❯

background in Generative AI , including LLMs, frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (AWS, Azure, Google Cloud). Proficient in programming languages (e.g. Python, R, Java) and familiar with data tools like Alteryx, Snowflake, Tableau, or Spotfire. Proven track record managing AI projects from concept to deployment, with sound project More ❯

characteristics protected by applicable laws. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday. Job Requisition ID R Full Time/Part Time Full-Time Job Level Manager More ❯

reporting; visualisation and mapping, you will have knowledge of statistical techniques and procedures, including specialist knowledge of analytical tools and languages such as SQL, R, Power BI, GIS, Microsoft Office and other statistical software packages required for data input, analysis and presentation. We are looking for an enthusiastic, proactive and More ❯

engineering and ETL pipeline development , using tools like Airflow, Talend, or Informatica Deep knowledge of SQL and fluency in programming languages such as Python , R , or DAX Comfortable working with both relational and non-relational databases , including platforms like PostgreSQL, MongoDB, and SQL Server Skilled in designing BI solutions using More ❯

and performance management. Proficiency with SQL, ETL, and data visualization tools like Tableau or Quicksight. Experience with statistical/machine learning software such as R, Python, Weka, SAS, or Matlab. 4+ years in large data warehousing environments. 10+ years in data warehouse architecture, data modeling, and related technical areas. We More ❯

to integrate AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL More ❯

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) Proven experience of modelling using WTW toolkit (Emblem and More ❯

software to monitor 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 More ❯

software to monitor 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 More ❯

software to monitor 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 More ❯

software to monitor 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 More ❯

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 More ❯

into data, model, and decisioning ecosystems. Advanced knowledge of Statistics and ML techniques. Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and emerging technology stack for building and orchestrating ML solutions. A strong grasp of profit-loss More ❯