1 to 25 of 110 R Jobs in the UK excluding London

with data processing technologies such as Apache Spark and Apache Flink. Knowledge of statistical analysis techniques and experience with programming languages such as Python, R, and SAS. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work in a fast-paced, dynamic environment and manage multiple more »

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 »

a Senior Business Analyst with a focus on data-driven decision-making. - Expertise in data analysis tools and programming languages such as SQL, Python, R, or SAS. - Strong understanding of statistical methods, machine learning algorithms, and data visualisation techniques. - Excellent communication and presentation skills, with the ability to convey complex 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 »

other programming experience, possible experience of Digital Analytics capability (GA360, Adobe etc) as well as Cloud experience (Azure, AWS, GCP) and PowerBI. Python/R also advantageous alongside some knowledge of open source data An open-minded, flexible and positive attitude toward new challenges, with a willingness to embrace new more »

scientists, providing guidance, mentorship, and fostering a collaborative and innovative work environment. Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, etc. Passion and curiosity for data visualisation; able to work comfortably with tools to manipulate large data sets into meaningful and visually impactful actionable 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 »

of analytical techniques to solve problems and answer questions around the gamer 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 »

to commute to Bradford city centre Desirable Relevant qualification demonstrating maths/statistical analysis/computer science Experience using statistical analytical tools such as R or Python Experience working in retail Relevant qualification demonstrating maths/statistical analysis/computer science Competitor knowledge and understanding in both retail and online 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. There is an opportunity to progress onto a permanent contract and enrolment to a higher level Apprenticeship. 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. 90% of QA Apprentices secure permanent employment after finishing their apprenticeship. Additionally, there may be opportunities to 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 »

project teams Desirable: • degree in Mathematics or a related subject • experience using website tagging software like Google Tag Manager • experience using SQL, Python or R • familiarity with Agile working • familiarity with regular expressions • keen to follow industry developments and learn new skills • experience with Scotland’s Digital Scotland Service Standard 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 »

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 »

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 »

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 »

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 »

or equivalent experience essential Significant experience with digital programmes and project working environments Experience using data science programming languages, such as SQL, Python, and R Proven understanding of industry standard processes for data governance and infrastructure Experience leading the planning and task management of Data Engineering/Science projects Demonstrable 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 »