1 to 25 of 455 Remote R Jobs

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 ❯

discipline. 1+ Years of Experience working on Analytics and Business Intelligence focused initiatives, preferably in a consulting capacity. 1+ Years of Experience using Python, R, or other languages to build statistical models or analyze data. 1+ Years of Experience in creating complex SQL queries and functions, data structures and strong 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 ❯

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 ❯

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 (eg, 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 ❯

processes, and data visualization tools such as Power BI, Tableau, or Qlik. • Expertise in DAX, Power Query (M), SQL, and scripting in Python or R for analytics and automation. • Familiarity with Azure Synapse, Data Factory, or other cloud-based data integration platforms is a plus. • Proficient in SharePoint Framework (SPFx More ❯

discipline 1+ Years of Experience working on Analytics and Business Intelligence focused initiatives, preferably in a consulting capacity 1+ Years of Experience using Python, R, or other languages to build statistical models or analyze data 1+ Years of Experience in creating complex SQL queries and functions, data structures and strong More ❯

testing, quality control workflows, and regulatory requirements (e.g., GMP, GLP, FDA, ISO standards). Proficiency in data science and analytics tools such as Python, R, SQL, or MATLAB. Experience with LIMS, MES, ELN, and other digital QC systems to extract, analyze, and interpret complex datasets. Strong background in statistical data More ❯

Software Engineering, Computational Science, Information Systems (with Data Analytics or AI Concentration) or related degree Technical Skills: Programming & Data Tools Proficiency in Python and R for machine learning and data analysis. Experience with libraries like Pandas, NumPy, and scikit-learn for data manipulation and model building. Familiarity with data visualization 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 ❯

problem-solving skills and attention to detail. Excellent communication skills, both written and verbal. Preferred Qualifications: Experience with programming languages such as Python or R for data analysis. Familiarity with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of business intelligence (BI) tools and techniques. Understanding of machine learning concepts More ❯

systems. Personnel should have strong data manipulation and problem-solving skills. Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation Have good communication skills and problem-solving ability PCI Federal Services (PCIFS More ❯

focus on Power Apps (Canvas and Model-Driven, use of Dataverse) and/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/ More ❯

a Master's degree is preferred. Proven experience as a Data Scientist or in a similar analytical role. Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau More ❯

A/B testing and experimentation. Experience working with data warehouses and ETL pipelines. Experience with Power BI and DAX. Exposure to Python or R for data analysis. Experience in a product-driven or SaaS company. What we offer you Remote & flexible working - Work from wherever (and whenever) you are More ❯