76 to 100 of 1,049 R Jobs

methodologies Ability to critically evaluate model performance in a business context Experience designing measurement frameworks that prove genuine incremental value SQL proficiency; Python or R for data exploration, model validation, and decisioning diagnostics Hands-on automation experience — trigger-based journeys, event-driven architecture, consent management Solution-oriented and proactive ...

Experience with ESRIproducts, including ArcGIS Pro, AGOL Web Maps, Application, Dashboards, StoryBoards. Familiarity withCAD based software (e.g. AutoCAD), Web-based GIS technologies,coding (Python, R)as well as other desktop GIS software (e.g. FME, QGIS). Experience in renewables/environmental/social assessments and across development, construction and operation ...

agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue ...

translate technical findings into actionable insights. Ability to manage multiple projects and competing priorities. What Will Make You Stand Out: Experience with Python, R, SPSS or similar analytical tools. Power BI or other data visualisation experience. Previous leadership or line management experience. Knowledge of workforce planning, pay, reward or employment ...

ability to manage stakeholder expectations. Awareness of data governance, data ethics, privacy and secure handling of data. Desirable skills and experience Experience with Python, R, dbt, cloud data platforms or ETL/ELT workflows. Experience leading small analytical workstreams or mentoring junior analysts. Experience working in Agile product, digital transformation ...

Experience: Experience working with infrastructure providers like CityFibre, OFNL, or Openreach. Knowledge of customer segmentation, usage patterns, and service tier analysis. Exposure to Python, R, or other statistical programming languages. IDSL is your partner for accessing advanced technology-based services and products in the UK. No.of Years of Experience ...

Advanced proficiency in SQL — this is essential Strong experience with data visualisation tools such as Power BI, Tableau, or Looker Proficiency in Python or R for data analysis and automation Experience working with cloud-based data platforms (AWS, Azure, or GCP) Excellent analytical thinking with the ability to translate complex ...

systems used in the equity derivatives market. Data Analysis Tools: Proficiency in data analysis tools such as Excel, SQL, and statistical software (e.g., R, Python). Project Management Tools: Familiarity with project management and collaboration tools such as JIRA, Confluence, or Trello. Reporting and Visualization: Experience with BI tools such ...

Product Data Scientist, Product Analyst, or similar analytics professional. Advanced SQL skills and experience working with cloud-based data warehouse environments. Strong Python or R capabilities for data analysis, statistical modelling, and machine learning. Experience building predictive models and applying analytical techniques to solve business problems. Understanding of customer journey ...

senior levels. A proactive and commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy ...

best practice What you'll need: Strong analytical and problem-solving skills with a high level of numerical proficiency. Knowledge of statistical software (e.g., R, Python, SAS) and data visualization tools (e.g., Power BI, Tableau). Familiarity with actuarial pricing techniques, including GLMs (Generalized Linear Models) and machine learning algorithms. ...

methods, user research, analytics product management, adoption measurement or legacy-reporting decommissioning would be beneficial. Working knowledge of Python or R, together with familiarity with AI-assisted or conversational analytics, would also be welcomed. Curious? We’re always available for a chat to run through the finer details of what ...

models to resolve business challenges. Demonstrable experience applying data science, analytics and data integration tools/programming languages on real-world datasets e.g. Python, R, KNIME, Splunk, Geo data. Desirable: Industry recognised qualification/accreditation in relevant field. Demonstrable experience of data visualisation tools e.g. Microsoft Power BI, Spotfire, Tableau. ...

Proven understanding of portfolio pricing, actuarial reserving and performance management methodologies* Proven proficiency in the use of data management and analytical tools including Python, R and SQL and data visualisation tools including Power BI* Experience in designing and enhancing analytical frameworks to support performance and portfolio management and inform strategic ...

related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science libraries and frameworks. Detailed understanding of data mining, data warehousing, and data visualisation techniques. Knowledge of Artificial Intelligence ...

Development (or MS in above subjects + 0-2 years experience).Advanced abilities in Python, Microsoft Office (Excel, PowerPoint, Teams).Preferred experience (not required): R, SQL, Java, C++, C#, HTML, Selenium, Power Automate and CoPilot, Studio for Agent Building, Snowflake or other Data Warehouses, PowerBI or any other dashboarding tool ...

meaningful changes through multi-year roadmaps or programs with measurable business impact Expert-level proficiency in SQL and at least one scripting language (Python, R, or similar) Demonstrated experience applying statistical techniques, experimental design (A/B testing, causal inference), and machine learning concepts to solve business problems Proficient communication ...

related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science libraries and frameworks. Detailed understanding of data mining, data warehousing, and data visualisation techniques. Knowledge of Artificial Intelligence ...

knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools — SQL, Python, R, or advanced Excel/VBA — for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance data structures ...

classification, clustering, dimension reduction and other machine learning techniques. Strong programming capability and experience writing efficient, maintainable code in collaborative environments. Advanced Python and R expertise. Experience working with modern development tools and practices, including GitHub, VS Code, Conda and cloud environments. An ability to balance technical rigour with practical ...

e.g. Tableau, QlikView, Microsoft Power BI or MicroStrategy) would be useful but not essential. An interest in data coding languages (e.g. SQL, Python/R, VBA). Why New Look? We care about you and the planet and believe fashion should be a force for positive change . We celebrate ...

classification, clustering, dimension reduction and other machine learning techniques. Strong programming capability and experience writing efficient, maintainable code in collaborative environments. Advanced Python and R expertise. Experience working with modern development tools and practices, including GitHub, VS Code, Conda and cloud environments. An ability to balance technical rigour with practical ...

DevOps, VBA and DAX. Good experience in developing visual reports, dashboards and KPI scorecards using Power BI. Proficient in SQL, with practical experience in R or Python. Experience in connecting data sources, importing data and transforming data Working knowledge of insurance & reinsurance Strong and analytical skills with the ability ...

warehouse use cases. Experience operating data pipelines in production: monitoring, troubleshooting, and resolving ingestion and pipeline failures. Experience with scripting and automation (Python, Java, R, or similar). Experience preparing data for, or supporting, AI-enabled analytics or machine learning workflows. Experience with REST APIs, common data formats (JSON ...

Excellent understanding of machine learning techniques and algorithms, such as Tree Based Models, Neural Networks, etc. Experience with common data science toolkits, such as R, MatLab, Python etc. Excellence in at least one of these is highly desirable Experience with data mining and data visualization tools, such as Alteryx, Tableau ...