1 to 25 of 512 R Jobs in England

of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change 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 ❯

computer science, marketing, business, data analysis and reporting, business intelligence, business and financial analysis, or related field OR equivalent experience. Experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets. Enthusiasm for this type of work. You will need to be a curious data explorer, who collaborates within and beyond our 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 ❯

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 ❯

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 ❯

executive and client audiences. Commercially minded, with ability to identify value creation opportunities through technology enablement. Collaborative, innovative, and comfortable in a fast paced, evolving environment. Proficient in Python, R, or other data science languages; experience with LLMs and applied AI preferred. PhD in Data Science, Artificial Intelligence, Computer Science, or a related quantitative discipline preferred. Master's degree with 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 ❯

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 ❯

Extensive experience in data science techniques including statistical modelling, machine learning algorithms, and AI. Comfortable with model development, validation, deployment, and performance monitoring. Advanced programming skills in Python or R and experience with SQL. Experience with data visualisation programs such as Power BI or Tableau is desirable. Have outstanding multi-modal communications skills along with data visualisation skills for disseminating More ❯