1 to 25 of 853 Remote Permanent R Jobs

or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to More ❯

or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to More ❯

or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to More ❯

or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to More ❯

or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as SQL, Python, R, and Excel. Experience with data visualisation tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to 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 ❯

Qualifications : Bachelor's degree and at least four (4) years of experience Previous experience in a project or program management role Experience with Python, R, and SQL Experience with data analysis and data visualization Intermediate/Expert knowledge and experience of Excel, Power BI, Power Automate, and PowerApps Demonstrated proficiency More ❯

enhance productivity and accelerate project delivery Create dashboards, reports, and visualizations to communicate findings to stakeholders Essential Requirements Technical Skills: Proficiency in Python or R for data analysis and machine learning Strong SQL skills for data extraction, transformation, and analysis Experience with Azure cloud platform and services Hands-on experience 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 ❯

Experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics Experience with data science, data mining, statistics, or graph algorithms to support analytics 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 ❯

Tableau, Power BI); risk analysis tools (e.g., Crystal ; and agile software development tools (e.g., JIRA). Proficiency in computer programming and modeling (e.g., Python, R, MATLAB). Recognition through publications, presentations, or contributions to the professional community. Exceptional interpersonal, verbal, and written communication skills, with the ability to engage effectively 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 ❯

Skills & Experience Required ✅ Proven experience in AI and machine learning, with a strong portfolio of successful projects. ✅ Proficiency in programming languages such as Python, R, and Java. (Python is a must have!) ✅ Experience working with AI frameworks and libraries. ✅ Strong analytical and problem-solving skills. ✅ Excellent communication and interpersonal skills. More ❯

have: • Familiarity with SQL and data integration techniques. • Experience with Azure services (e.g., Azure Data Factory, Azure SQL Database). • Knowledge of Python or R for data analysis. • Familiarity with Agile development methodologies. • Experience with other BI tools and technologies. • A Bachelor’s degree (ideally in Computer Science, Information Systems More ❯

Skills: Proficiency in Microsoft Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents). Strong programming skills in languages such as Python, R, or JavaScript. Experience with AI/ML frameworks like TensorFlow, PyTorch, or similar. Knowledge of AI Co-pilot technologies and their applications. Knowledge of data 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 ❯

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 ❯

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 ❯