51 to 75 of 865 R Jobs in the UK

science. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms is a plus. Solid understanding of econometrics, regression analysis, Bayesian statistics ...

curiosity for solving business problems. Ability to communicate complex problems to non-technical audiences. Experience with at least one programming language (e.g. Python, R, Stata). Able to understand statistical concepts and how these apply to business problems (e.g. regression analysis, machine learning). You must have achieved a grade ...

solve business problems. Demonstrable experience of 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 Project ManagementExperience with data visualisation tools e.g. Microsoft Power BI, Spotfire, TableauExperience of briefing ...

parts of delivering product value. Highly AppreciatedGood understanding of statistics, with confidence interpreting experiment results and supporting A/B test analysis. Python or R for analysis, automation or modelling. Curiosity about using AI tools such as Claude, ChatGPT or Codex to accelerate analysis, reporting and communication. Previous experience ...

working with AI‐enabled tools to support forecasting, customer analytics, or GTM optimization. Strong proficiency in analytics and data tools (e.g., SQL, Python/R, BI tools such as Tableau, Looker, or Power BI). Familiarity with modern data stack architectures (data warehouses, ETL pipelines) and AI‐enabled platforms. Strong ...

deeply cares about its values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply as we are often ...

skillsets to the wider practice. Qualification Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No‐SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with ...

experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg.?Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologies eg.?SQL, ETL, No-SQL, DW, and Big Data technologies eg.?pySpark, Hive, etc. Experienced working with ...

experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg.?Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologies eg.?SQL, ETL, No-SQL, DW, and Big Data technologies eg.?pySpark, Hive, etc. Experienced working with ...

marketplaces, or another fast-moving, customer‐focused business is useful but not essential. Proficiency with SQL and a scripting language such as Python or R, alongside experience with BI or visualisation tooling such as Looker, Tableau, or similar. Comfortable using modern AI‐assisted tools to work efficiently while maintaining high ...

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 ...

machine learning, statistics, and data modeling.2+ years of experience leading or managing a data science team. Proficiency in programming languages such as Python, R, and SQL.Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Expertise in data manipulation, analysis, and visualization tools (e.g., Pandas, Matplotlib, Tableau).Experience with ...

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 ...

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 ...

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 ...

Engineering, or related quantitative field Essential: 3+ years in data science with focus on building Data and AI products Essential: Advanced proficiency in Python, R, and SQL with expertise in statistical analysis, machine learning algorithms, and data visualization Essential: Full‐stack development experience with cloud technologies (GCP preferred) Essential: Strong ...

study or equivalent analytical experience General Insurance experience would be advantageous but isn't essential. Exposure to Power BI, SQL, Power Query, DAX, Python, R or Alteryx would also be beneficial. You don't need to be a qualified or studying actuary – we're equally interested in strong analytical professionals ...

wider business context behind the numbers. You will ideally have: Strong experience using data analysis and business intelligence tools such as Excel, SQL, Python, R, Power BI and/or Tableau . Proven experience collecting, cleansing, analysing and managing data from multiple sources. Strong analytical and problem-solving skills, with ...

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 ...

critical-thinking skills Self-motivated and focused on completion and resolution Good teamwork skills and experience working with diverse teams Nice to have: R, SQL, Java, C++, C#, HTML, Selenium, Power Automate and CoPilot, Studio for Agent Building, Snowflake or other data warehouses, PowerBI or another dashboarding tool, IPA, Anaplan ...