1 to 25 of 387 Remote R Jobs in England

a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data in a user More ❯

a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data visualisation skills : Experience with tools like Tableau, Power BI, or similar to present complex data in a user More ❯

in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal and written More ❯

adoption of AI-driven strategies across BIC operations. Identify opportunities for AI integration to enhance BIC research processes. Use advanced analytics tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of More ❯

role with a strong focus on quality assurance of data and machine learning models. Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity with machine learning frameworks and data visualization 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 ❯

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 ❯

Experience working on MI workstreams/projects Strong SQL Proficient in data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., SQL, R, Python) Strong analytical and problem-solving skills with a keen attention to detail Excellent communication and interpersonal skills, with the ability to present complex information More ❯

a budget, involved in budget setting and working knowledge of financial processes. Experience in using a range of statistical software such as SAS, SPSS, R, and SQL Technical skills in data management, business intelligence and analytics including data modelling, data visualisation (e.g. Tableau and Qlik) and data blending (e.g. Alteryx More ❯

opportunities Career progression in a supportive environment Skills and Experience Proven experience in data science, including machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data visualisation tools such as Tableau or Power BI. Experience with More ❯

Have: Strong academic background in a STEM-related field. Experience delivering data-driven solutions in a consulting or technical role. Proficiency in SQL, Python, R, and data visualisation tools. Familiarity with cloud platforms such as AWS and Azure. Ability to analyse and interpret large datasets for business impact. Strong problem More ❯

will contribute to the development of AI and data science strategies across the Civil Service. Key Skills and Experience • Strong programming skills in Python, R, or SQL. • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). • Proficiency in data manipulation and analysis (e.g., Pandas, NumPy, Spark). • Knowledge 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: Strong academic background in a STEM-related field. Experience delivering data-driven solutions in a consulting or technical role. Proficiency in SQL, Python, R, and data visualisation tools. Familiarity with cloud platforms such as AWS and Azure. Ability to analyse and interpret large datasets for business impact. Strong problem More ❯

Hands-On Experience You'll Need: 2+ years of experience working in data science or a related field. Proficiency in programming languages like Python, R, or SQL for data manipulation. Experience building machine learning models using libraries like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms like AWS, GCP More ❯

Learning Assistant Manager, supporting our expanding business. The role involves delivering analytics offerings, including: Providing data analytics and science services using tools like Python, R, Azure, Databricks, SQL, Tableau, and Power BI. Reviewing data science and cloud solutions. Developing innovative data science and ML tools. Supporting clients in data handling More ❯

Able to work in a highly pressurised environment and be comfortable travelling abroad Experience of data analytics technologies, such as Python , Tableau , Power BI , R , and SQL Educated to degree level, ideally in a STEM related field; however, other candidates with a strong analytical background in an unrelated field may More ❯

Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders, exploring new data sources with excellent coding skills in Python, R, SQL, etc. Understanding of cloud services AWS, Snowflake, and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation More ❯

three years of experience in data and analytics. Proficiency in SQL and some experience of at least one scripting language, such as Python or R, is essential, along with experience using business intelligence and data visualisation tools like Tableau, Power BI, or similar platforms. A solid working knowledge of statistical More ❯

of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R (data exploration, analysis, visualization). Strong experience of Tableau to pull data from various sources, develop and publish automated reports and dashboards. 5+ years of More ❯

HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as More ❯

Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as More ❯

A curious mind and a desire to always learn more. It would be beneficial experience & knowledge of: The AWS stack, particularly Redshift. Python or R Working with senior stakeholders to influence change. Prior experience of data transformation projects. What do you get in return? 25 days annual leave rising to More ❯