101 to 125 of 957 R Jobs in England

marketing efficiencies by leveraging approaches that optimize Amazon's systems using cutting edge quantitative techniques. The right candidate needs to be fluid in: Data warehousing and EMR (Hive, Pig, R, Python). Feature extraction, feature engineering and feature selection. Machine learning, causal inference, statistical algorithms and recommenders. Model evaluation, validation and deployment. Experimental design and testing. BASIC QUALIFICATIONS - 8+ years … similar role involving data extraction, analysis, statistical modeling and communication experience - 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS - -Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data - -Experience with More ❯

and validating survey measures and/or assessments and applying quantitative methods to business and industry settings Proficiency in experimental and quasi-experimental methods Experience with data analysis package (R, SAS, Matlab, SPSS, etc.) Demonstrated mastery of statistical modeling and hypothesis testing Strong skill with R, Python, or similar languages Proficiency with SQL and data visualization tools (e.g., Tableau) Experience More ❯

Essential: - 5+ years' experience in AI/ML development and data science - Strong grasp of ML/AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools More ❯

Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯

Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯

time. You'll create algorithms and models to understand how changes in metrics in one area of the business impact other areas. What you'll have: Experience in using R, Python, or a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and More ❯

complex data into clear insights and business recommendations Comfortable working with stakeholders across commercial, marketing, and operational teams Attention to detail and strong problem-solving skills Exposure to Python, R, or basic data science techniques is a plus but not essential If you're a data-driven thinker looking to make a tangible commercial impact in a growing retail environment More ❯

strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

strategy. What They're Looking For Solid experience in yield, pricing, or forecasting optimisation - ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

customer data. Stakeholder engagement and communication skills, both written and oral. Experience building self-service tools (e.g., in Power BI). Desirable but not essential: experience with Python or R, exposure to machine learning/predictive analytics. Preferred (not required): background in retail or related customer-focused environments. Team culture is really important here, and recently, internal surveys scored the More ❯

or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL, Python, R, or similar data analysis tools. Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to translate complex data into understandable insights. We Offer: A competitive More ❯

to Collibra or similar data governance tools is highly advantageous. Desirable Skills Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. More ❯

to Collibra or similar data governance tools is highly advantageous. Desirable Skills Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku More ❯

Interest in one or more areas: marketing analytics, data engineering, customer insights, or data science. Comfortable working with numbers and exploring datasets; familiarity with tools like Excel, Python, SQL, R, or GA4 is a bonus (but not required). An analytical mindset, attention to detail, and a desire to learn how data can solve creative and commercial challenges. Excellent communication More ❯

and techniques to enhance audit processes. For example: Excel: Advanced skills in data manipulation, pivot tables, and data visualisation. SQL: Ability to query and analyse large datasets. Python/R: Experience with programming languages for data analysis and automation. Tableau/Power BI: Expertise in creating interactive dashboards and visualisations. ACL/Galvanize: Familiarity with audit-specific data analytics tools. More ❯

and Teams. Experience with data warehousing, process automation, and machine learning tools and techniques. Familiarity with model-driven apps and related technologies (e.g. JavaScript). Knowledge of SQL, Python, R, GIS packages, statistics, and cloud platforms such as Azure or AWS. Strong written and verbal communication skills, with a highly collaborative, customer-focused approach. Quick learner with the ability to More ❯

data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version More ❯

Oracle, NoSQL etc. - 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 ❯

or business analysis within commercial, marketing, or product-focused environments, with a strong grasp of customer behaviour and business performance metrics. Technical proficiencyin Excel, SQL, and either Python or R, with hands-on experience using data visualisation tools such as Power BI, Tableau, or Looker. Strong understandingof marketing analytics, pricing strategies, and customer segmentation, with the ability to translate data More ❯

with direct client contact Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with More ❯

Value). Interpret data and technical information to support business decisions. What you will need to be successful Numerical: Proficient in advanced data analysis and visualisation using SQL, Python, R, Excel, and Looker; experienced with additional BI and analytical tools as required. Ability to present data clearly and accurately in presentations to internal and external stakeholders (Google Slides) High attention More ❯