1 to 25 of 122 R Jobs in the UK excluding London

collect, organise, analyse, and interpret large and complex data sets. • Proficiency in data management and analysis tools and programming languages such as SQL, Python, R, or SAS. • Experience with data visualisation tools such as Power BI (preferred), Tableau, or QlikView. • Solid understanding of statistical methods and techniques for data analysis. more »

in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency with Git or similar source control systems SQL and Database experience Main Duties The primary role of a more »

post holder will have expert knowledge in at least one of the following four areas: Statistical modelling and techniques including coding on software packages (R, Python) or Business intelligence and visual analytics to develop and standardise sophisticated interactive presentations and visualisation (using PowerBI, Tableau etc) or Data linkage and analysis more »

posed by large, intricate datasets. Exceptional communication and presentation skills, with an advantageous background in stakeholder management. Proficiency in programming and data handling using R, Python, or equivalent languages. Proven track record of developing end-to-end data science solutions, ranging from proof of concept to successful delivery. Preferred Experience more »

a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc. more »

velocity data sets involving billions of records per day. You must be proficient in programming languages and tools for data analysis, such as Python, R, and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive more »

methods, including machine learning methods. Significant experience working with multi-omics and large-scale biological datasets. Strong programming skills in key bioinformatics languages, e.g., R, Python, etc., with proven capabilities to manipulate large and sophisticated datasets. Significant experience working with UNIX/cloud computing systems, data management systems, advanced statistical more »

data science discipline or demonstrable equivalent experience Experience Essential Experience of using programming languages and statistical packages to solve problems using data e.g. Python, R, Stata Experience of developing machine learning tools to extract insights and provide recommendations from data Experience as a professional statistician/data scientist Experience of more »

of analytical techniques to solve problems and answer questions around the player and in turn titles, as well as overall business performance Python or R programmer, with strong skills in SQL for data extraction, manipulation and modelling in extracting insights and landing them with the business to drive improvements and more »

a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure more »

successful completion, learners will be awarded the Data Analyst including Power BI Level 4 apprenticeship. Tools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel. Have the scope to develop on to Level 5 and Level 6 qualifications should you chose to more »

science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You’ll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts more »

statistics, computer science or mathematics degree or equivalent Knowledge of InterAction or CRM database structures Advanced knowledge of Excel (pivot tables) Knowledge of SQL, R, Python or other data analytical programming languages APIs. REST, GraphQL Experience with reporting tools PowerBI and SSRS Knowledge of Public Cloud Infrastructures and Data Architectures more »

Proven experience (2+ years) as a Data Scientist or Data Engineering, preferably in a start-up environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). Strong knowledge of machine learning techniques and algorithms more »

routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Dublin, Belfast, Birmingham, Manchester, Edinburgh or London. more »

science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You’ll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts more »

team of at least 5/6 members. with the likes of SQL, SQL Server, Postgres, Oracle tools like Qliksense & Power BI languages – Python & R platforms (beneficial) managing senior stakeholders and end-to-end projects or ArcGIS (beneficial) Please note that if you do not have experience with all the more »

knowledge of applied modelling and analytics experience in applicable industry Have good understanding of statistical methods applied to data analysis Have user experience of R, Python or equivalent analytic software. Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques Have good written communication more »

and reporting tools (incl. Microsoft Excel and SSRS) Desirable Knowledge and understanding of any other reporting tools, statistical analyst package or database tools (e.g R, Python etc.) Knowledge of current Foundation Trust information systems (e.g. Cerner EPR) Qualifications Essential Advanced understanding of the principles of Informatics to degree level or more »

to optimize data analysis. - Collaborate with engineering and product teams to implement models into production systems. - Clean, process, and analyze large datasets using Python, R, SQL, and TensorFlow. - Present findings and insights to non-technical stakeholders in a clear and compelling manner. - Continuously enhance models based on feedback and real more »

analytical skills, problem solving, and decision making. Experience with data analysis and visualization (such as Tableau or Power BI) and statistical packages (such as R, SPSS). Proven ability in creating detailed business analyses, business requirements (including documentation), business process mapping, and workflow analysis. Next steps If you're interested more »

in computer science, bioinformatics, computational biology, microbiology, mathematics, genetic epidemiology, genomics, machine learning or equivalent. Strong programming skills in languages such as Bash, Python, R, Nextflow, Snakemake etc. Experience in infectious disease genomic analysis. Having a scientific understanding of infectious disease genomics 3-5+ years of experience in bioinformatics more »

with public data such as the Data Protection Act. Knowledge of industry-standard data management or analysis software, such as MS SQL, SAS, Tableau, R or PowerBI. Working knowledge of agile methodologies or relevant experience or training. Desirable Understanding of data security & information governance. Knowledge of testing and assurance processes more »

is currently Tableau but they’re in the process of shifting over the PowerBI. From a language perspective you’ll be using Python and R to dig deep into the expansive data sets on offer. This is the perfect opportunity to join a business with a stellar track record of more »

Experience as a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure more »