1 to 25 of 560 R Jobs in the UK excluding London

Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. As the R Programming Lead , you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements. Responsibilities • Develop internal and external R packages for clinical trial analysis ( ADaM, tables, figures … listings). • Validate R packages. • Lead implementation in R and train other Biostatistics team members. • Conduct statistical programming work of clinical data using R. • Identifies problems and develops global tools that increase the efficiency and capacity of the Statistical Programming group. • Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs ) consistent with data definitions … accuracy -thus submission readiness -of clinical data as required by authorities (i.e . SDTM, ADaM, tables, figures, listings , define.xml). Experience and Qualifications Minimum 5+ years of experience in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and More ❯

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding and working knowledge of capacity & supply chain planning Working knowledge of programming/scripting languages (Python, R, or similar More ❯

and product improvement. End-to-end implementation of data science pipelines. Experience and QualificationsKnowledge/Skills Expertise in tools such as SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python and Power BI. Exceptional ability to communicate strategic and technical concepts to a diverse audience and translate business needs into technical requirements Experience of liaising effectively with Data Engineers More ❯

closely with developers, engineers, and fellow data experts. What You Bring Proven experience as a Data Scientist in a large-scale or public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine More ❯

closely with developers, engineers, and fellow data experts. What You Bring Proven experience as a Data Scientist in a large-scale or public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine More ❯

exclusively) or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the following: Python, R, SAS Knowledge of Data visualisation software, PowerBI preferrable. Proven ability to analyse large sets and translate them into insights and actionable business recommendations. Strong communication, collaboration, and presentation skills, with More ❯

a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear More ❯

a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear More ❯

time left to apply End Date: August 26, 2025 (25 days left to apply) job requisition id R Job Description At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group. Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and More ❯

/computer science background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Technical knowledge i.e. Python, R, SQL, C++ etc. Exceptional Microsoft Excel skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured More ❯

data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen AI tools or techniques is highly desirable. Educated More ❯

an entrepreneurial scale up business. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. You must have the full right to work in the UK (the business doesn't offer sponsorship). Development experience with BI platforms such as Looker, Tableau More ❯

A degree in Data Science, Computer Science, Mathematics, or a related field. 5+ years' experience in data science, with proven success delivering end-to-end projects. Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong skills in data storytelling, problem-solving, and working with both structured and unstructured data. Experience with APIs, cloud More ❯

A degree or equivalent qualification or experience in a relevant field (e.g., Data Science, Statistics, Computing, Economics, or similar) Experience working with large datasets Knowledge of statistical programming (e.g., R, Python) Proficiency in data visualization tools (e.g., Qlik, Power BI, Tableau) Excellent communication and interpersonal skills - both written and verbal Understanding of data governance fundamentals and GDPR requirements Ability to More ❯

problems Modelling skills: capability across the MS Office suite, particularly MS Excel, to carry out economic analysis. Ability to learn new programming languages, software environments, and services, like Python, R, and Power BI. Successful candidates are also likely to possess: Python or other data analysis skills beyond MS Excel Advance understanding of Economics or Econometrics principles Communication and relationship-building More ❯

oriented and able to manage time across multiple tasks Able to work both independently and collaboratively Desirable Extras Familiar with Azure, Python, PowerShell, SharePoint Exposure to statistical tools (e.g. R, SPSS) Insurance sector or financial services background Understanding of project management methodology What You'll Get Up to a negotiable £45,000, depending on experience Hybrid working: 3 days in More ❯

learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such as Looker, Tableau, or Power BI. Benefits included for Data Scientist - Category Management : Comprehensive medical and dental insurance. Company Shares/ More ❯

with excellent attention to detail Effective communicator, able to bridge the gap between technical data and business understanding Desirable Skills: Experience in financial modelling and forecasting Knowledge of Python, R, or DAX for advanced analytics Previous work in a fast-paced or scale-up environment Apply Now: If you’re an experienced BI Analyst with a passion for finance and More ❯

strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

degree in Data Science, Statistics, Mathematics, or a related field. Proven experience in data analysis, preferably in marketing, advertising, or public relations. Proficiency in programming languages including Python and R, along with SQL. Strong understanding of machine learning techniques and statistical modelling. Excellent communication skills with the ability to convey complex information simply and effectively. Why Join Us? Impactful Work More ❯

timely decisions based on analysis. Experience with database environments and data set manipulation particularly in Excel, Alteryx, and Exasol/Databricks and SQL development. Working knowledge of Power BI, R and/or Python would be an advantage. Distinctive problem solving and numerical skills with a high degree of analytical rigour and keen attention to detail. Proven track record in More ❯

timely decisions based on analysis. Experience with database environments and data set manipulation particularly in Excel, Alteryx, and Exasol/Databricks and SQL development. Working knowledge of Power BI, R and/or Python would be an advantage. Distinctive problem solving and numerical skills with a high degree of analytical rigour and keen attention to detail. Proven track record in More ❯

BigQuery) and ETL processes. Analytical Prowess: Exceptional analytical and problem-solving skills, with the ability to translate complex data into clear, actionable business insights. Demonstrated proficiency in Python/R or other tools for advanced analysis and Machine Learning. Business Intelligence & Visualization: Extensive skills in leading BI tools such as Power BI (preferred), Tableau, or Looker Studio. E-commerce and More ❯

Services Engineer - GridOS page is loaded Services Engineer - GridOS Apply locations Edinburgh time type Full time posted on Posted 30+ Days Ago job requisition id R Job Description Summary We are seeking a technical, client-focused Solutions Specialist to join our Services team. In this role, you will leverage your understanding of emerging energy industry trends and their impact on More ❯