276 to 300 of 882 R Jobs in England

on a major cloud platform (e.g. AWS, Azure, or Google Cloud). Strong grasp of data modelling, warehousing, and cloud-based deployment of machine learning models. Proficient in Python, R, SQL, or similar languages. Skilled in instructional design and adult learning methodologies. Able to create engaging, outcomes-driven learning experiences for a wide audience. As an industry leading, nationwide Marketing More ❯

in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working model with flexibility between remote More ❯

Strong Econometrics Background: Expertise in statistical methods like linear regression, generalized linear models, panel data analysis, and time series forecasting. Data Science Proficiency: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modeling, and visualization libraries. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to More ❯

and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a More ❯

and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a More ❯

team: Experience leading an Analytics function within a Tech or Internet Marketplace scale-up Proven ability to lead, coach, and develop analytics professionals Expert-level proficiency in SQL, Python, R, and advanced Excel for data manipulation and analysis Deep understanding of customer acquisition, retention, and expansion metrics and strategies Hands-on experience with Business Intelligence Platforms such as Tableau, Power More ❯

needed. This description may be updated to reflect changing business needs. Qualifications, skills and experience Strong geospatial analysis expertise (e.g., QGIS, ARCGIS) Proficiency in programming languages like Python or R for data manipulation Experience designing systems and dashboards for catastrophe exposure monitoring Experience in a Catastrophe Modelling/Exposure Management team Effective communication skills (written and face-to-face) Knowledge 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 in data mining More ❯

making within Savings. What do we need from you? Strong analytical and problem-solving skills with a proven ability in statistical modelling and robust forecasting. Skilled in coding with R or Python for data manipulation and in-depth analysis. Proficiency in data manipulation and analysis, with a strong commitment to data accuracy and attention to detail. A keen ability to More ❯

methods and machine learning PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and material contributions to the CV/ More ❯

business decisions impact product and company performance. Familiarity with financial statements, revenue models, or unit economics is a strong plus. Experience with tools or other programming languages such as R, Python, or JavaScript are nice-to-have but not required. This is an excellent opportunity to contribute meaningfully in a fast-paced, rapidly scaling FinTech environment. Key Responsibilities 1. Manage More ❯

business decisions impact product and company performance. Familiarity with financial statements, revenue models, or unit economics is a strong plus. Experience with tools or other programming languages such as R, Python, or JavaScript are nice-to-have but not required. This is an excellent opportunity to contribute meaningfully in a fast-paced, rapidly scaling FinTech environment. Key Responsibilities 1. Manage More ❯

Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software More ❯

analytics, A/B testing, and digital product optimization. Proven track record of influencing business decisions and impact. Strong technical skills with analytical tools such as SQL, Python/R, PowerBI/Tableau, Amplitude, and Google Analytics or Fullstory. Ability to manage multiple projects and stakeholders, prioritize high-value work, and communicate complex results clearly. Collaborative mindset, eager to support More ❯

Intelligence page is loaded Senior Director of Operational Enablement and Intelligence Apply locations York, United Kingdom time type Full time posted on Posted 2 Days Ago job requisition id R Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our More ❯

effectively collaborate with cross-functional teams. Ability to articulate complex analytical concepts to non-technical stakeholders. Proficiency in one or more programming languages such as SAS, SQL, Python or R It's a bonus if you have but not essential Knowledge of CIFAS rules and procedures in the context of first party fraud. Experience influencing senior stakeholders Knowledge of credit More ❯

Engineering page is loaded Engineer - Site Reliability Engineering Apply locations USA-St. Louis-795 Office Pkwy time type Full time posted on Posted 11 Days Ago job requisition id R Our Team We are evolving our Reliability Engineering team to move beyond support and operations. As a Senior Engineer in Site Reliability, you will be part of a diverse and More ❯

methods to interpret data trends, patterns, correlations and communicate insights and recommendations to operational teams. What we need from you? Proven Experience with programming languages such as Python/R and advanced T-SQL programming Experience in large-scale datasets, analysing unstructured data/semi structured data to solve business problems, and presenting impactful insights Experience with RPA/Automation More ❯

fraud. Demonstratable experience of developing automated fraud controls with disparate data sources. Analytical with intermediate-level proficiency with one or more programming languages such as SAS, SQL, Python or R Experience influencing stakeholders and driving change throughout an organisation. Knowledge and understanding of fraud risk and industry trends to identify risks that may impact our organisation. Tenacious in approach with More ❯

sports and iGaming, including experience working in large-scale, agile sales and operational environments. Technical & Product Management Skills: Product-level experience with APIs, data technologies, and querying languages (SQL, R, Python). Technical product management background with understanding of client/web technologies, user interface development, and player journey optimization. Tool Proficiency & Data Analysis: Proficient in product management tools including More ❯

MHHS and the potential impact that these changes may have on Elexon and our stakeholders. Experience in developing customer and technical journeys. Proficient in languages such as SQL, Python, R, and data visualisation (such as Power BI, Tableau or other industry best practice tools). Experience of presenting to stakeholders Experience of building vendor relationships. Provide knowledge management content. Elexon More ❯

optional): Advanced degree in physics, applied mathematics, statistics/probability, or another heavy quantitative discipline. Experience in Financial Crimes related to Sanctions or AML Compliance. Proficiency in SQL, Python, R and/or SAS. Broad experience in Data Analytics and interpretation of large volumes of Data. Logical thinking capabilities with a technical mind-set Advanced knowledge in using Microsoft Excel More ❯

markets work, you have a grasp of commodity trends, and you've worked in commodity marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA , R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the More ❯

more areas of data analysis, evidence synthesis, and data management, and a sound understanding of statistical methods and use of data management/statistical and spatial analysis applications (including R and ESRI). You will have problem-solving skills, with the ability to extract key information and present this in a clear and concise manner to a range of audiences More ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data Analyst CPS … Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regression analysis including MMM and A/B Testing Strong verbal and written communication skills Proven experience engaging with and managing senior stakeholders For More ❯