1 to 25 of 78 Permanent R Jobs in the UK with Remote Work Options

and use case modelling. We seek candidates with proven experience in the following areas: Expertise in analytical tools and programming languages such as Python, R, and SQL, and familiarity with data visualization tools like Tableau or Power BI. Knowledge of AI and machine learning techniques, including generative AI, is crucial. more »

record of deploying models and driving business impact in an e-commerce or marketplace environment.Technical Skills: Proficiency in programming languages such as Python or R, and experience with machine learning frameworks like TensorFlow, scikit-learn, or similar. Strong SQL skills for data querying and manipulation.Statistical & Analytical Expertise: Deep understanding of more »

in web analytics solutions such as Google Analytics, Adobe Analytics, ContentSquare, etc. Experience in data analytics tools and programming languages such as SQL, Python, R, and SAS. Experience with data visualization tools such as Tableau, Power BI, or similar. Strong understanding of statistical methods, machine learning, and data mining techniques. more »

Power BI, Tableau, Looker) - Proficiency in Excel for data analysis and reporting - Knowledge of statistical analysis and data mining techniques - Familiarity with Python or R for data processing and analysis Nice to Have: - Experience with Google Analytics and Tag Manager - Knowledge of A/B testing methodologies - Familiarity with CRM more »

of Security Clearance (SC Level). Strong background in statistics, mathematics, data science modelling with relevant Degree. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau or Power BI. Sound knowledge of Pandas, Spark or similar data libraries. Familiarity with Azure functions more »

Leverage data modeling, predictive analytics, and statistical methods to drive complex analyses and forecasts. Tools & Technology: Work with modern data tools, SQL, Python/R, and visualization platforms (e.g., Tableau, Looker) to analyze data and present findings in an impactful manner. Qualifications & Experience: Bachelor’s Degree in Mathematics, Statistics, Economics more »

and develop with the business Bonus Skills (Desirable): Proficiency in Excel, including VBA experience Strong mathematical and statistical knowledge Experience with statistical software packages (R, SPSS, SaS, Stata) Understanding of Python or other relevant coding languages Knowledge of PowerShell and SharePoint Experience with Data Warehousing Degree in software engineering, computer more »

or Ph.D. degree in Data Science, Computer Science, Statistics, Biomedical Engineering, or a related field. Technical skills: Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for data analysis (e.g., Pandas, NumPy, Scikit-learn). Expertise in deep learning more »

innovation. - Proficiency in SQL-based platforms (e.g., Microsoft SQL Server, MySQL) and Business Intelligence tools like Power BI or Tableau. - Experience in Python or R for data manipulation and analysis. - Knowledge of statistical techniques and machine learning, with a background in propensity modelling and market segmentation. - A solid understanding of more »

a strong foundation in statistical analysis and data management. Candidates should have 3-5 years of experience in data analysis, proficiency in tools like R, Python, Tableau, and Power BI, and a proven ability to present insights to senior stakeholders. Team leadership experience and skills in data manipulation, integration, and more »

to test hypotheses and validate models - Present complex findings to both technical and non-technical stakeholders Technical Skills Required: - Strong proficiency in Python and R for data analysis and modeling - Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch - Solid understanding of statistical analysis and data mining more »

in Data and Analytics Insurance experience is highly-desirable Strong Cloud Data Solutions experience – GCP/Azure/AWS, SQL and either Python or R Experience with Data Mining and exploration, AI/ML a bonus Experience with Data Governance – Master Data Management and Data Quality Please apply for immediate more »

years experience in Data and Analytics - Insurance experience is highly-desirable - Strong Cloud Data Solutions experience - GCP, SQL and either Python or R - Experience with Data Mining and exploration, AI/ML a bonus - Experience with Data Governance - Master Data Management and Data Quality Please apply for immediate interview! The more »

development, and Higher Education. Proficiency in MS Office, particularly MS Excel, is essential. Experience with at least two of the following: GIS, SQL, PYTHON, R, SPSS, Excel Macros, Power BI, Flourish, Macrobond, and real estate data systems (e.g., RCA, MSCI, Radius, Property Data, Agents Insight). Salary up to more »

both independently and as part of a team. Power BI professional accreditation or working towards it. Proficiency or working towards proficiency in DAX, SQL, R, and Python. Benefits: Competitive salary and benefits package. Hybrid working model to encourage work-life balance. Opportunities for professional development and growth. Inclusive culture that more »

and other stakeholders to translate game objectives into impactful data-driven insights. REQUIRED SKILLS AND EXPERIENCE Programming and SQL Skills : Proficient in Python or R with strong SQL abilities, particularly in analyzing large-scale gaming data. Analytical Expertise : Excellent analytical and statistical skills, with hands-on experience in predictive modeling more »

and collaboration tools e.g. JIRA, Confluence & Miro Excellent attention to detail and proven problem-solving skills Experienced in finding insights through data analytics (Excel, R, Python or similar) We're looking for someone who has experience, knowledge and skills in the following areas, however we appreciate that a successful applicant more »

Azure and AWS. Ability to design multi-step data pipelines combining scripted transformation and API calls to various services. Data Science Use Python or R, alongside SQL to analyse and model complex, high volume data. Develop and apply clustering, classification, regression, anomaly detection, natural language processing, or GenAI models to more »

solutions, including the deployment and management of servers via DevOps pipelines. Proficiency in SQL and Python to deliver data pipelines. Additional programming languages (JavaScript, R, Java, C#, etc) desirable but not essential. Experience building data models in business intelligence tools and collaborating on the design of visualization layers. Previous exposure more »

and energy forecasting. Awareness of financial risk management and the risks associated with pricing and hedging activities. Technical software skills required are SQL, Python, R, SAS, Azure Databricks, Azure Data Factory, Excel and Power BI. more »

for proteomics data analysis, and experience in regulated environments. If you have a PhD or equivalent experience in these fields and are fluent in R, Python, or C++ and passionate about applying data science to revolutionise precision medicine and drive significant advancements in cancer treatment, this is an exciting opportunity more »

of statistical modeling and machine learning, with relevant experience in the use of relevant Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents). Familiarity with SQL and experience working with relational databases. Problem-solving skills with a pragmatic and analytical outlook. Some knowledge of the sports more »

intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools such as PowerBI or Tableau. Leadership or mentoring experience within more »

Azure and AWS. Ability to design multi-step data pipelines combining scripted transformation and API calls to various services. Data Science Use Python or R, alongside SQL to analyse and model complex, high volume data. Develop and apply clustering, classification, regression, anomaly detection, natural language processing, or GenAI models to more »

in analysis of large-scale sequencing data, including complex multistage pipeline development, reporting, and troubleshooting Excellent proficiency in programming, e.g. Python/C++/R, command line applications and experience working on a cloud or cluster computing system Excellent problem solving and analytical skills, and ability to prioritise workload and more »