1 to 25 of 1,134 R Jobs in the UK

on our mission to shape the future of clinical development. Develop data analysis solutions for complex business problems in collaboration with biostatisticians and statistical programmers, using tools such as R Shiny or Python-based web applications. Ensure technical validity, compliance to the sponsor's standards, SOPs and regulatory requirements. Test, debug and optimize applications to ensure that they work as … plans. Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. at least 6 years of programming experience (3+ for R, R Shiny) in analyzing and visualizing clinical trial data in the pharmaceutical industry, producing deliverables for submission. Advanced statistical computing software skills (e.g., SAS, R and R Shiny Framework) in … environment across multiple therapeutic areas, thorough understanding of relational databases and their correlation to submission-ready database structure (CDISC data structure requirements). Demonstrated programming experience and proficiency with R, R Shiny, tidyverse packages and R Markdown in building advanced R packages and modular Shiny apps (or other development stack). Excellent knowledge of Good Programming Practices and CDISC standards. More ❯

Role: R & Shiny Engineer Work location : Stevenage (Preferred),London Hybrd ,minimum 2 days per week Role/Job Title: R Admin Must Have Skills: R R Package Development Kubernetes Docker Azure DevOps The Role Your Responsibilities: Establishing and maintaining central repositories for R packages Working with development teams to facilitate package development and deployment Configuring and managing package sources, including … mirrors and custom repositories Ensuring the availability and accessibility of packages to users Ensuring packages are well-documented and adhere to organizational standards Potentially building and publishing internal R packages Resolving and managing package dependencies to ensure a consistent and reliable analytical environment Installation of R and Frozen R packages Creation of R compute environments using Docker Your Profile Essential … Skills/Knowledge/Experience: R Package Management R Package Installation Docker and Kubernetes Good to Have: SAS Domino (hands-on) Azure DevOps Python GitHub Databricks (hands-on) Agile Scrum Desired Experience Range: 6 8 years More ❯

BI, Looker, or similar) Strong Excel skills, including pivot tables, advanced formulas, and data modelling Understanding of statistical concepts and data visualisation principles Optional: Programming experience in Python or R for data analysis Business Acumen Ability to learn core business metrics across departments and ability to translate the requirements into business insights with the support of the leadership team Experience More ❯

Business Analyst - Credit Research page is loaded Business Analyst - Credit Research Apply locations London, United Kingdom time type Full time posted on Posted 2 Days Ago job requisition id R-121573 A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we're always looking for ways to improve financial services. We're passionate 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 ❯

financial data providers). Work closely with data engineers to implement and optimise data pipelines within the Azure Databricks environment. Ensure data is readily available for modelling runtimes (Python, R, MATLAB). Data Governance & Quality: Establish and enforce data governance policies, standards, and procedures. Define data quality metrics and implement data quality monitoring processes. Ensure compliance with relevant data privacy 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 ❯

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 ❯

code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations Skills and Attributes Essential oExcellent technical skills and knowledge in Python/R, Power BI and Power Apps, Google Cloud Platform, cloud-to-on-prem engineering, Azure DevOps, SQL, SQL servers, SSMS and SSIS, dashboards, databases and visualisation, APIs, including understanding and application More ❯

Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn More ❯

Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn More ❯

able to respond to shifting business needs Proficiency in key tools and platforms, including: Microsoft Office Suite (Excel, Teams, Word, PowerPoint) Atlassian tools (Confluence, Jira) Analytics tools (e.g. SQL, R, Python) Data visualisation software (e.g. Power BI, Tableau) Knowledge of NHS datasets and/or clinical coding Strong organisational skills with the ability to prioritise effectively High attention to detail More ❯

law and that we are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new More ❯

the data under analysis. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for More ❯

Statistics, Mathematics etc. - Experience as a Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles - Proficiency with SQL and programming languages with a focus on data analytics (Python, R, Java etc.) - Expertise in modern data warehousing techniques (dimensional data modelling, experience with ETL, etc.) - Proven expertise in building reports and BI analysis with tools such as Tableau, QlikView, SAP More ❯

impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictive modelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Creative thinker with a proactive, results-oriented More ❯

and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯

and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯

SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical and problem-solving skills, with attention to detail Excellent communication and interpersonal skills for collaborating with cross-functional teams Requirements achelor's degree 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 ❯

a great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot patterns, think creatively, and dissect complex issues. Soft Skills: Effective communication More ❯

Factory, etc.); experience with Microsoft Fabric is a big bonus. Proven track record building Power BI dashboards and reports, including data modelling and DAX measures. Familiarity with Python or R for data manipulation and lightweight ETL scripting would be beneficial plus SQL skills for querying both relational and semi‐structured data. Practical knowledge of one or more CPO platform would 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 ❯

Strong analytical thinking and problem-solving skills and excellent communication and stakeholder management abilities. · Experience with cloud data platforms (e.g., Azure, AWS, Google BigQuery). · Knowledge of Python or R for data analysis or automation and familiarity with ERP systems like IFS, SAP, NetSuite, or Microsoft D365. Financial modelling or FP&A experience is a plus A team like no More ❯

Strong analytical thinking and problem-solving skills and excellent communication and stakeholder management abilities. · Experience with cloud data platforms (e.g., Azure, AWS, Google BigQuery). · Knowledge of Python or R for data analysis or automation and familiarity with ERP systems like IFS, SAP, NetSuite, or Microsoft D365. Financial modelling or FP&A experience is a plus A team like no More ❯