1 to 25 of 841 R Jobs in the UK

a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data in a user More ❯

a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data in a user More ❯

set objectives. Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI. Familiarity with programming languages like Python or R for data analysis. Experience with time-series databases and analytics platforms. Excellent analytical and problem-solving skills. Strong leadership and communication abilities. Ability to think More ❯

in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal and written 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 ❯

adoption of AI-driven strategies across BIC operations. Identify opportunities for AI integration to enhance BIC research processes. Use advanced analytics tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of More ❯

an actuarial, data science, or similar analytical role, within the non-life insurance sector. Technical Skills : Strong proficiency in programming languages such as Python, R, or SQL. Experience with statistical analysis, machine learning algorithms, and data manipulation techniques. Familiarity with actuarial methods and tools (e.g., pricing, reserving, financial forecasting). 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 ❯

role with a strong focus on quality assurance of data and machine learning models. Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity with machine learning frameworks and data visualization More ❯

big data technologies. Requirements: Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g. More ❯

Analyst). Experience with other BI tools (e.g., Tableau, Qlik). Understanding of UI/UX principles for dashboard design. Experience with Python or R for data analysis is a plus. Familiarity with Agile/Scrum methodologies. More ❯

if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data More ❯

experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy systems, environmental policies, and sustainability practices is a More ❯

data science, analytics, or a related field. Proven experience working with large datasets and statistical modeling. Proficiency in programming languages such as Python or R, with a strong understanding of object-oriented programming concepts. Experience in designing and implementing ETL pipelines, data warehousing, and data modeling. Experience with machine learning More ❯

a clear and compelling manner to non-technical audiences. Experience with financial services or consumer lending data would be advantageous. Familiarity with Python or R for data analysis is a plus but not essential. Highly organised, with strong attention to detail and a proactive problem-solving mindset. Benefits: Group Life More ❯

in SQL for querying databases, understanding of data modelling and ETL processes, advanced Excel skills for supplementary analysis, and basic programming knowledge (Python/R preferred) for data analysis and automation. Data Governance & Compliance: Knowledge of best practices in data access, governance, and security, ensuring adherence to compliance standards. Strategic More ❯

mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science and analytics More ❯

mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science and analytics More ❯

Experience working on MI workstreams/projects Strong SQL Proficient in data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., SQL, R, Python) Strong analytical and problem-solving skills with a keen attention to detail Excellent communication and interpersonal skills, with the ability to present complex information More ❯

parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share More ❯

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 essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are More ❯

Strong command of data governance and quality management principles. Proficiency in SQL and visualization tools (e.g., Tableau, Power BI). Familiarity with Python or R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning More ❯

Strong command of data governance and quality management principles. Proficiency in SQL and visualization tools (e.g., Tableau, Power BI). Familiarity with Python or R and time-series databases. Strong problem-solving, communication, and leadership skills. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure). Knowledge of machine learning More ❯

or Power BI, with proven ability to present data clearly to non-technical audiences. Proficiency in SQL and programming languages such as Python or R for data manipulation and analysis, ideally with expertise in Natural Language Processing (NLP). Exceptional problem-solving abilities, attention to detail, and a curious, analytical More ❯

Science, Business Analytics, Computer Science or a related field Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) Proficient in SQL , Python , R and visualisation tools (e.g. Power BI) Strong understanding of procurement tech , S2C suites, and supply chain processes Familiar with agile ways of working (e.g., Jira More ❯