1 to 25 of 340 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 ❯

Computer Science, Aerospace Engineering, or related field 3+ years of experience applying data science techniques to aviation industry problems Strong programming skills in Python, R, or similar for data analysis Experience with machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch) Proficiency in SQL and experience working with large, complex More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

in Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python, R, or Scala. Experience with infrastructure technologies (e.g., Snowflake). SQL Server 2016+ with excellent T-SQL skills. Understanding of relational databases. Data modelling and data More ❯

Computer Science. Experience in data analysis or mathematical model development, with a strong understanding of statistical concepts. Proficiency in a statistical programming language, e.g. R or Python. Experience with data visualisation and reporting tools, e.g. Tableau or PowerBI. Demonstrated ability to partner closely with stakeholders, earning trust and prioritising relationships. More ❯

processing, and analysis. Skills & Experience: Proven experience as a Data Scientist or in a similar analytic role. Strong proficiency in programming languages like Python, R, or SQL. Experience with machine learning techniques, including supervised and unsupervised learning, and deep learning. Proficiency in data analysis libraries such as pandas, numpy, scikit More ❯

Engineering, Mathematics or comparable. Strong foundation in mathematics, data science, modelling, and analytics. Proven work experience as a data scientist working with Python (optional R or Java) with Frameworks like Pandas, NumPy, SciPy, scikit-learn, PyTorch, Tensorflow, XGBoost, etc. Knowledge in state-of-the-art Machine Learning Methods, Data Science More ❯

Information Technology, Data Science or Mathematics. Experience in medical devices, healthcare technology , or complex industrial equipment . Proficiency in coding languages such as Python, R, SQL , and Qlik Script is essential . Certifications for Azure Data Scientist Associate , Analytics Professional or Microsoft Power BI Data Analyst are a plus. What More ❯

Information Technology, Data Science or Mathematics. Experience in medical devices, healthcare technology , or complex industrial equipment . Proficiency in coding languages such as Python, R, SQL , and Qlik Script is essential . Certifications for Azure Data Scientist Associate , Analytics Professional or Microsoft Power BI Data Analyst are a plus. What 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 ❯

and quality. Ability to simplify complex data for non-experts. Essential Qualifications Degree in a quantitative or statistical field. Essential Skills Programming: Expert in R or Python, with skills in code optimization, version control, and testing. Data Visualization: Advanced experience in creating web apps using Plotly/Dash/Shiny 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 ❯

time to ensure smooth collaboration. Preferred Background: Previous roles in business intelligence, data analytics, or strategy consulting . Strong technical background in SQL, Python, R, or other data analysis tools . Familiarity with pricing models, market intelligence, and operational analytics . Experience in a fast-paced startup or high-growth More ❯

problem-solving, and troubleshooting skills. Nice to Have: Experience with data automation and orchestration tools like Apache Airflow or Alteryx. Familiarity with Python or R for advanced data processing and analysis. Knowledge of data privacy regulations (GDPR). Experience in the integration of machine learning models into BI systems. What 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 ❯

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 #INDACC Pay Range: USD More ❯

functions). Strong experience with BI tools (Power BI, Tableau, or similar) to create reports, dashboards, and visualisations. Advanced knowledge of statistical analysis tools (R, Python, SAS, or similar). Experience with data modelling, trend analysis, and statistical techniques. Familiarity with data warehousing concepts and data integration processes. Knowledge of More ❯