1 to 25 of 83 Remote R Jobs in London

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 ❯

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 ❯

to detect and prevent fraud within the NHS, directly impacting patient care and public funds. You'll work with advanced analytics tools like Python, R, SQL, and Alteryx to uncover hidden patterns and anomalies. Join a collaborative team where your insights drive real-world action against financial crime. Potential applicants More ❯

Requirements: At least 5 years’ experience in a product analytics role, with proven experience driving product recommendations and outcomes Experience with SQL, Python or R for querying and/or analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Strong experience with data visualization More ❯

large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data insights More ❯

large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data insights More ❯

in delivery of complex, advanced analytics and/or data science solutions. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

objectives. Validate models for accuracy, suggest and test improvements. Required Skills & Experience: Proven experience with MMM development and implementation. Strong Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, PyMC and MCMC. Proficient in SQL and/ More ❯

objectives. Validate models for accuracy, suggest and test improvements. Required Skills & Experience: Proven experience with MMM development and implementation. Strong Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, PyMC and MCMC. Proficient in SQL and/ More ❯

communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯

with data visualization tools e.g. PowerBI or Tableau Data extraction and manipulation languages e.g. SQL, Python Knowledge of statistical software and packages such as R, Matlab, Pandas, NumPy or SciPy Experience with algorithmic trading systems and low-latency trading Knowledge of financial markets is desirable but experience of working in More ❯

with data visualization tools e.g. PowerBI or Tableau Data extraction and manipulation languages e.g. SQL, Python Knowledge of statistical software and packages such as R, Matlab, Pandas, NumPy or SciPy Experience with algorithmic trading systems and low-latency trading Knowledge of financial markets is desirable but experience of working in More ❯

with data visualization tools e.g. PowerBI or Tableau Data extraction and manipulation languages e.g. SQL, Python Knowledge of statistical software and packages such as R, Matlab, Pandas, NumPy or SciPy Experience with algorithmic trading systems and low-latency trading Knowledge of financial markets is desirable but experience of working in More ❯

to integrate AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL More ❯

to integrate AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL More ❯

to integrate AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL More ❯

portfolio would be a strong advantage) Advanced SQL skills, with the ability to write complex queries and work with large datasets Familiarity with Python, R or other scripting tools for deeper analysis. You’ll be the only analyst in this team, so working autonomously is key (you’ll be supported More ❯

years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able to present technical findings to non-technical stakeholders. Experience working with customer data or analytics to provide actionable insights. More ❯