1 to 25 of 1,595 R Jobs in London

helping to save the planet! THE ROLE We are seeking a clinical programmer with 8+ years of SAS experience who has successfully transitioned to R programming, particularly in developing interactive applications with R Shiny. The ideal candidate will bridge legacy clinical trial systems with modern open-source solutions while maintaining … legacy systems. Key responsibilities include converting existing SAS programs used for SDTM and ADaM datasets, as well as Tables, Listings, and Figures (TLFs), into R Packages. The position also involves developing parameterized R Markdown reports and interactive Shiny dashboards to enhance clinical data visualization and reporting. Additionally, the candidate will … design and implement CDISC-compliant data pipelines using both R and SAS, employing PROC SQL and MACROS to ensure efficient and standardized data processing. This position is remote (although it can be office-based or hybrid, depending on your location) and will involve occasional travel to events throughout the year. More ❯

understanding of data architecture, data modeling, and data warehousing. Experience with machine learning frameworks and AI technologies. Proficiency in programming languages such as Python, R, or Java. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Preferred Qualifications More ❯

expertise in machine learning, optimization, and experimentation techniques with large data sets. Expertise in using advanced analytics tools and programming languages such as Python, R, SQL, and experience with data visualization tools like Tableau or Power BI. Excellent analytical and problem-solving skills, with a keen eye for detail and More ❯

and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred Skills: Experience with programming languages such as Python or R for data analysis. Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts. Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud More ❯

and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred Skills: Experience with programming languages such as Python or R for data analysis. Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts. Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud More ❯

quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale More ❯

as a Data Analyst or similar role, preferably in the IT industry. Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Strong analytical skills with the ability to manipulate and interpret complex datasets. Experience with data visualization tools such as Tableau, Power BI, or More ❯

focused role. Technical Skills Expertise in designing and deploying ML algorithms, AutoML tools, and AI applications. Proficiency with programming languages such as Python and R, and ML libraries (TensorFlow, PyTorch, scikit-learn). Hands-on experience with cloud platforms (Azure ML) and big data ecosystems (e.g., Hadoop, Spark). Strong More ❯

management processes in insurance Advanced SQL skills for querying complex databases and joining disparate data sources Expertise in data manipulation and analysis using Python, R, or similar analytical tools Experience with data visualization tools (e.g., Tableau, Power BI, Looker) Experience with dashboard creation for operational metrics tracking Strong communication and More ❯

Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization). - Experience with R, Python or other statistical/machine learning software. - Be self-driven, and show ability to deliver on ambiguous projects. Amazon is an equal opportunities employer. More ❯

expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate has experience providing guidance and support for other engineers with More ❯

time posted on Posted 15 Days Ago time left to apply End Date: June 13, 2025 (6 days left to apply) job requisition id R-060213 Job Title Senior Manager - Insight & Analytics Location Asda House Employment Type Full time Contract Type Permanent Hours per Week 37.5 Salary Competitive Salary plus More ❯

statistics and distribution theory Strong communication skills, with the ability to present complex ideas to both technical and non-technical audiences Proficiency in SQL, R and/or Python Excel skills including data analysis and manipulation. Stay up-to-date with the latest industry trends and advancements in data science More ❯

experience in data science, working in a commercial setting or in consulting Experience with Machine Learning and statistical modelling techniques Strong programming skills in R and/or Python Experience applying advanced analytics and Machine Learning to solve business problems Experience with data visualization software/libraries (Tableau, PowerBI) Comfort More ❯

modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical More ❯

experience working with large operational datasets Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent More ❯

e-commerce, or other digital industries. Advanced proficiency in SQL and experience with Tableau (or any other data visualization tool). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Deep expertise in data modeling, business intelligence, and extracting actionable insights More ❯

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 Strong communication skills A willingness More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

and distribution theory u00A0 Strong communication skills, with the ability to present complex ideas to both technical and non-technical audiences Proficiency in SQL, R and/or Python Excel skills including data analysis and manipulation. Stay up-to-date with the latest industry trends and advancements in data science More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

experience working with large operational datasets Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent More ❯

modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical More ❯

software solutions. Strong project management skills with a track record of successfully delivering complex projects. Technical Skills Proficiency in programming languages such as Python, R, Java, or C++. Experience with data science tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge of industrial automation systems and protocols (e.g., SCADA More ❯