1 to 25 of 510 R Jobs in England

of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous involvement in reporting and analytics for CRM and More ❯

Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding More ❯

detail. Proficiency in BI tools such as Power BI, Qlik, or Tableau. Solid understanding of SQL for data extraction and manipulation. Familiarity with programming languages such as Python or R for data analysis. Experience with statistical analysis methodologies and data visualization techniques. Ability to communicate complex data insights clearly and effectively to stakeholders. Demonstrated experience in managing projects and collaborating More ❯

a trusted adviser to key stakeholders Numerate & analytical with knowledge of data management Proficient in BI tools like PowerBI, Qlik, Tableau Proficient in Microsoft SQL Proficient in Python/R Strong knowledge of statistical methodologies and data analysis techniques (eg clustering) Passionate about data analytics. Technically self sufficient with a desire and ability to research and pick up new tools More ❯

health management and healthcare commissioning. Experience in predictive modelling, demand and capacity planning, or statistical analysis. Proficiency in BI tools (e.g., Power BI, Tableau, Qlik). Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health) or More ❯

. Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment is an equal-opportunity employer. If More ❯

career in this field. Familiarity with data analysis, statistical concepts, and creating data visualisations (coursework, science experiments, projects, or self-study count). Some experience with coding (e.g. Python, R, or similar) is desirable but not essential. Excellent problem-solving skills. Effective verbal and written communication skills, with the ability to present findings clearly. Strong team player who can work More ❯

data under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data More ❯

and storytelling - able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or advanced modelling More ❯

visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure or AWS Ambitious, with a desire to succeed in an entrepreneurial culture Ability to work under minimal supervision, plan work and managing own time More ❯

logit/probit) and non parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for 1 share purchase plans, an EV Scheme More ❯

Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think More ❯

Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think More ❯

problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using More ❯

problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations using More ❯

Machine Learning Engineer page is loaded Machine Learning Engineerlocations: UK, Yorktime type: Full timeposted on: Posted Yesterdayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Position: Machine Learning Engineer Reporting to: Lead Data Scientist Location: York Type: Permanent Machine Learning Engineer As a Machine Learning Engineer at Hiscox, you will play a key role in building More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

driven), Power Automate, and Dataverse. Experience with Microsoft Fabric. Strong understanding of business intelligence concepts, KPI development, statistical analysis, and data visualisation best practices. Proficiency in SQL, Python or R for advanced analytics, and experience with version control systems (Git) and CI/CD pipelines are highly desirable. Strong stakeholder management and communication skills, with demonstrated ability to translate technical More ❯