151 to 175 of 1,301 R Jobs in the UK excluding London

Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences More ❯

Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences More ❯

Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences More ❯

Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences 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 ❯

Key Requirements: Proven experience (5+ years) in a data science role, preferably in the retail or e-commerce sector. Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine More ❯

expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a plus). Strong SQL skills and experience with relational databases. Familiarity with data visualization tools. Experience with AWS or cloud platforms More ❯

expertise in machine learning, statistical analysis, and predictive modeling. Experience designing experiments and modeling solutions for business problems. Preferred Qualifications Proficiency in Python or R (R knowledge is a plus). Strong SQL skills and experience with relational databases. Familiarity with data visualization tools. Experience with AWS or cloud platforms More ❯

and meet deadlines in a fast-paced environment. • Experience with tools such as Tableau, Power BI, or Google Data Studio. • Familiarity with Python or R for data manipulation (optional but desirable). • Prior internship or work experience in a data-related role. • Experience working in a service, maintenance, or field More ❯

Science, or related discipline (or equivalent experience). Desirable Skills: Knowledge of Power Platform (Power Automate, Power Apps). Experience with Azure, Python, or R for advanced analytics. Exposure to BIM, digital twin, or smart infrastructure technologies. To discuss in more detail please call Billy Mitchell at Advance TRS, or More ❯

policy development. What you'll need to succeed Strong background in data analysis, statistics, or data science. Proficiency in tools such as SQL, Python, R, and Power BI or Tableau. Experience with predictive modelling and machine learning techniques. Excellent communication skills and the ability to translate technical insights into practical More ❯

policy development. What you'll need to succeed Strong background in data analysis, statistics, or data science. Proficiency in tools such as SQL, Python, R, and Power BI or Tableau. Experience with predictive modelling and machine learning techniques. Excellent communication skills and the ability to translate technical insights into practical More ❯

policy development. What you'll need to succeed Strong background in data analysis, statistics, or data science. Proficiency in tools such as SQL, Python, R, and Power BI or Tableau. Experience with predictive modelling and machine learning techniques. Excellent communication skills and the ability to translate technical insights into practical More ❯

building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or R (R is a plus) Experience writing SQL and working with databases Comfortable with data visualization tools Strong communication and problem-solving skills Ability to juggle More ❯

building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or R (R is a plus) Experience writing SQL and working with databases Comfortable with data visualization tools Strong communication and problem-solving skills Ability to juggle More ❯

ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and More ❯

ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools such as PowerBI or Tableau Demonstrable experience in owning and delivering analytical projects, dashboards, structuring analysis and deliverables More ❯

for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with More ❯

stakeholders An effective communicator, with the ability to influence, negotiate and present at senior management level Familiarity with statistical and predictive modelling tools (e.g., R, Python) Experience in an education, EdTech, or training-focused organisation would be advantageous Project management certification (e.g., PMP, Agile) is an advantage Experience in designing More ❯

for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with More ❯

stakeholders An effective communicator, with the ability to influence, negotiate and present at senior management level Familiarity with statistical and predictive modelling tools (e.g., R, Python) Experience in an education, EdTech, or training-focused organisation would be advantageous Project management certification (e.g., PMP, Agile) is an advantage Experience in designing More ❯

for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with More ❯