1 to 25 of 461 R Jobs in the UK excluding London

the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a Data Scientist or in a similar role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with More ❯

Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding More ❯

research, clinical care, and operational performance across the Trust. They will lead the adoption of best practices, develop automated data pipelines, and implement secure, scalable solutions using SQL, Python, R, and cloud technologies. The role includes building predictive and prescriptive models, deploying and monitoring machine learning applications, and applying advanced analytics to improve patient outcomes, service efficiency, and workforce wellbeing. More ❯

health management and healthcare commissioning. Experience in predictive modelling, demand and capacity planning, or statistical analysis. Proficiency in BI tools (e.g., Power BI, Tableau, Qlik). Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health) or More ❯

likely bring: Experience in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive More ❯

likely bring: Experience in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive More ❯

. Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment is an equal-opportunity employer. If More ❯

acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. More ❯

acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. More ❯

acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. More ❯

with a basic understanding of leveraging data to drive business impact. Proficiency in data mining, statistical analysis, and basic machine learning algorithms. Familiarity with programming languages such as Python, R, or SQL and data processing and visualization tools such as Power BI and Microsoft Fabric desirable. Strong problem-solving skills and the ability to work on complex problems requiring an More ❯

with a basic understanding of leveraging data to drive business impact. Proficiency in data mining, statistical analysis, and basic machine learning algorithms. Familiarity with programming languages such as Python, R, or SQL and data processing and visualization tools such as Power BI and Microsoft Fabric desirable. Strong problem-solving skills and the ability to work on complex problems requiring an More ❯

with a basic understanding of leveraging data to drive business impact. Proficiency in data mining, statistical analysis, and basic machine learning algorithms. Familiarity with programming languages such as Python, R, or SQL and data processing and visualization tools such as Power BI and Microsoft Fabric desirable. Strong problem-solving skills and the ability to work on complex problems requiring an More ❯

a trusted adviser to key stakeholders Numerate & analytical with knowledge of data management Proficient in BI tools like PowerBI, Qlik, Tableau Proficient in Microsoft SQL Proficient in Python/R Strong knowledge of statistical methodologies and data analysis techniques (eg clustering) Passionate about data analytics. Technically self sufficient with a desire and ability to research and pick up new tools More ❯

to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency More ❯

analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing More ❯

analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing More ❯

analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing More ❯

the ability to present complex information in a clear, concise way to non-technical stakeholders. Desirable Skills & Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding More ❯

the ability to present complex information in a clear, concise way to non-technical stakeholders. Desirable Skills & Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding More ❯

the right time Skills Data Analysis - Ability to manipulate and analyse data, and make informed decisions Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau Data Modelling - Ability to perform statistical analysis and predictive modelling. Data Governance - Knowledge of data governance and quality assurance practices. Communication skills - collaborate with cross-functional More ❯

and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯

and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯

and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯

AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like Python or R Excellent attention to detail and proven problem-solving skills Proficient at prioritising workloads effectively and using planning and collaboration tools e.g. JIRA, Confluence & Miro Desirable Prior experience using and building More ❯