151 to 175 of 1,430 Permanent R Jobs

with face-to-face sessions at our Oxford office. Over the course of three months , you will gain proficiency in cutting-edge data tools and programming languages, including SAS, R, Python, SAS-SQL, as well as business soft skills, alongside Power BI, and training in Cloud Computing including Azure Data Fundamentals SAS is a powerful software suite used for advanced … widely used across industries for advanced data analysis, enhancing your employability and career prospects. You'll also enhance your business acumen through engaging case studies and professional development workshops. R and Python each have their unique strengths. R excels in statistical analysis and data visualisation, offering powerful libraries for complex modelling. Python, on the other hand, is versatile and integrates More ❯

Science, Computer Science, Statistics, or a related field (PhD preferred) • 3+ years of experience in AI/ML model development and data analytics • Strong programming skills in Python (preferred), R, or similar languages • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience working with and customizing LLMs and transformer-based architectures • Proficiency in data wrangling, data cleaning More ❯

to implementation. Proficiency in creating dashboards and interactive reports using BI tools such as Power BI, Tableau, Qlik, or Looker. Strong skills in querying and manipulating data with SQL, R, or Python. The ability to communicate complex statistical concepts and machine learning models to non-technical stakeholders through visualizations. Company: Graduate Recruitment Bureau (Hiring for client) Location: London, Any Salary More ❯

communication skills. Desirable Experience with cloud-based BI platforms (e.g., Azure Data Factory, Synapse Analytics). Familiarity with Lloyd's regulatory reporting and actuarial datasets. Exposure to Python or R for advanced analytics. More ❯

communication skills. Desirable Experience with cloud-based BI platforms (e.g., Azure Data Factory, Synapse Analytics). Familiarity with Lloyd's regulatory reporting and actuarial datasets. Exposure to Python or R for advanced analytics. More ❯

Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

and Commercial business process automation 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. Security Clearance • Active Secret clearance is required. Thanks and More ❯

management of scientists. Effective verbal and written communication skills. Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow. Experience with large-scale distributed systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

ideally in an agency environment Advanced knowledge of regression models , predictive analytics , and time series forecasting Proficient in SQL, Excel (including Power Query and PivotTables), and either Python or R Skilled in dashboard development using tools like Power BI and Looker Studio Strong understanding of CRM, digital, web, and social campaign metrics Comfortable presenting insights to senior stakeholders and cross More ❯

and modeling. Experience with data visualization tools like Tableau or Qlik Sense. Experience analyzing financial datasets and understanding financial market concepts. Proficiency in Data Profiling/Analysis using Python, R, or SQL. Ability to communicate results clearly using data visualization tools. Strong logical and critical thinking skills for problem-solving. Preferred Skills: Interest and familiarity with generative AI frameworks. Knowledge More ❯

master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). More ❯

master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). More ❯

master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). More ❯

judgment; balances business Effective verbal and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

diverse customer problems. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an More ❯

or a related field. · 7+ years of experience in bioinformatics, with a strong background in multi-omics data analysis and computational neuroscience. · Proficiency in programming languages such as Python, R, or MATLAB, and experience with bioinformatics tools and databases. · Expertise in machine learning, statistical modelling, and data visualization techniques applied to biological data. · Familiarity with cloud computing environments (AWS, Google More ❯

fields with strong statistical training and survey research components. Experience: Demonstrated experience working with survey data in market research, commercial research, or applied social research settings. Strong proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques More ❯

fields with strong statistical training and survey research components. Experience: Demonstrated experience working with survey data in market research, commercial research, or applied social research settings. Strong proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques More ❯

fields with strong statistical training and survey research components. Experience: Demonstrated experience working with survey data in market research, commercial research, or applied social research settings. Strong proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques More ❯

NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance More ❯

NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

employers and the market. Upon successful completion, learners will be awarded the Data Analyst including Power BI Level 4 apprenticeship. Tools and technologies learned: Learners will learn to use R programming language, Python, Microsoft SQL Azure and Excel. Learning Provider QA LIMITED Skills Required Communication skills, Attention to detail, Organisation skills, Team working, Non-judgemental Apply Now More ❯

a strategic roadmap across analytics, automation, and change. Solid knowledge of data analytics, people metrics, and experience using technology, platforms, and tools (e.g., SuccessFactors, Power BI, Tableau, Python/R, SQL). Familiarity with AI/ML techniques and how they can be applied to improve people processes and decision-making. Knowledge of responsible AI, data ethics, or regulatory frameworks More ❯

industrial facility automation, robust and resilient communications Familiarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc) Proficiency in one or more of: Python, C++, Java, R, Julia, Matlab Ability to understand and implement new models from the literature Experience with geospatial data and analytics. Familiarity with Intelligence Community and DoD mission sets. Salary More ❯