1 to 25 of 710 R Jobs in England

and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred Skills: Experience with programming languages such as Python or R for data analysis. Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts. Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud 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 ❯

expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate has experience providing guidance and support for other engineers with 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

time left to apply End Date: May 16, 2025 (6 days left to apply) job requisition id R-058723 Job Title Data Science Manager Job Title Data Science Manager Location Asda House Employment Type Full time Contract Type Permanent Hours Per Week 37.5 Salary Competitive salary plus benefits Category Data 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 ❯

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 ❯

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 with large operational datasets Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent 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 ❯

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 ❯

under pressure. Collaborative team players with excellent communication skills. Experience in programming/software engineering - we primarily use Python, however, experience in languages like R, C, or others is also valued. We care more that you think like an engineer than the exact languages you've used. Experience and expertise More ❯

advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional leadership, project More ❯

like S3, Lambda, and MSK. AI Tools: Familiarity with AI-driven tools such as ThoughtSpot or Amazon QuickSight. Programming Languages: Familiarity with Python or R for data manipulation and analysis. Big Data Technologies: Experience with big data technologies like Hadoop or Spark. Data Governance: Understanding of data governance and data More ❯