76 to 100 of 436 R Jobs in the UK excluding London

and monitor data governance, ensuring compliance with privacy and security standards. Visualise data effectively, presenting insights to both technical and non-technical audiences. Use tools such as SQL, Python, R, Tableau, Qlik, MS Excel, and GIS software. Solve complex data problems with logical and creative thinking. Requirements: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems More ❯

Fabric components (e.g., Data Factory, Synapse Data Warehouse, Synapse Data Science/Engineering) Strong SQL skills Proficiency with Power BI or similar BI tools (Qlik, Tableau, etc.) Python preferred (R or Scala also considered) Advanced Excel capabilities Nice to Have: Knowledge of OneLake and Delta Lake Experience with Spark Familiarity with Databricks Interested? Please submit your updated CV to Olivia More ❯

labeling experts and technical teams Required Qualifications Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics Tools More ❯

Awareness of medallion architecture (Gold, Silver, Bronze). Previous experience creating Data requirements for Data Engineers/Data Scientists. Proficiency in Data Analysis tools such as SQL, Python and R and the ability to write simple SQL scripts. Strong understanding of LLM. The ability to understand the difference between functional and non-functional requirements. The ability to work with technical More ❯

and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging More ❯

in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality More ❯

implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business intelligence More ❯

science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Proven ability to assess or design organizational processes for data science delivery and model management. • Excellent analytical and communication skills More ❯

in data analysis, synthesis, and governance. Ability to communicate with diverse stakeholders. Experience in data modeling and quality assurance. Proficiency in data visualization tools like MS Excel, Qlik, SQL, R, Python, QGIS, Tableau. Strong problem-solving skills in data processes and services. Nice to Have Understanding of reverse-engineering data models. Experience in designing front-end systems for improved data More ❯

Economics, Econometrics, Finance, or a related quantitative field. Deep understanding of macroeconomic theory, microeconomic modelling, and statistical inference. Proficiency with economic modeling tools and data analysis software (e.g., Python, R, Stata, or MATLAB). Experience with simulation modeling, forecasting, or policy evaluation is highly valued. Excellent analytical writing, reasoning, and communication skills. Commitment of 20–30 hours per week, including More ❯

background in Finance, Accounting, Economics, or Business Administration. 4+ years of experience in financial analysis, investment research, or corporate finance. Proficiency in financial modelling tools and software (Excel, Python, R, or SQL) and familiarity with valuation techniques (DCF, comparable analysis, sensitivity modeling). Deep understanding of financial statements, forecasting methods, and corporate metrics. Excellent written and verbal communication skills, with More ❯

on all findings which will be useful at stakeholder sessions Potential to expand the insights out into future forecasting based on set scenarios using coded solutions i.e. Python or R Liaise with key stakeholders to help understand business context Present findings at Stakeholder sessions Essential Skills & Experience Advanced technical expertise in M365 (SharePoint, MS Projects Online, Excel, Project), Power BI More ❯

Data Architect/Security page is loaded Data Architect/Securitylocations: GB.United Kingdom: CHE.Baden 5400.Nordhaus 3time type: Full timeposted on: Posted 2 Days Agojob requisition id: R-141464 Job Description Job Title: Data Architect/Security Location: UK or Switzerland Join Us Lead enterprise-wide data architecture strategy and governance: • Define and manage data architecture across SAP S/4HANA More ❯

as infrastructure as code and CI/CD Experience with graph-based data workflows using Apache Airflow Programming skills in one or more of the following: Python, Java, Scala, R and experience in writing reusable/efficient code to automate analysis and data processes Experience in processing large volumes of data using parallelism techniques/tooling, such as Apache Spark More ❯

Solid SQL skills for querying and managing complex datasets. Must have prior experience in radio, audio, or broadcast media. Exposure to sales data, advertising revenue, or commercial analytics. Python, R, and Power BI experience is desirable. HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page. More ❯

can translate their requirements into effective solutions. Essential Skills & Experience: UK Resident - Position requires Full Security Clearance Bachelors or Masters degree in a STEM subject Programming experience in Python, R, SQL, SAS Experienced with DevOps processes Experienced working in regulated industries Experienced on the Microsoft Azure stack Excellent stakeholder and communication skills. 4+ years experience in data engineering Experience mentoring More ❯

can translate their requirements into effective solutions. Essential Skills & Experience: UK Resident - Position requires Full Security Clearance Bachelors or Masters degree in a STEM subject Programming experience in Python, R, SQL, SAS Experienced with DevOps processes Experienced working in regulated industries Experienced on the Microsoft Azure stack Excellent stakeholder and communication skills. 4+ years experience in data engineering Experience mentoring More ❯

market microstructure, high-frequency trading systems, probability, optimisation, and time-series analysis. Proficiency in one or more programming languages commonly used in quantitative and HFT environments (Python, C++, Julia, R, or Rust). Experience with simulation systems, trading infrastructure, latency optimization, or machine learning models is a strong plus. Excellent analytical reasoning, communication, and collaboration skills. Ability to commit to More ❯

to drive strategic decisions. Experience with loyalty or membership program analytics and customer segmentation. Strong SQL skills (mandatory - there will be a live assessment), with experience in Python or R being a plus. Skilled in data visualisation tools such as Tableau or Looker. Ability to present findings clearly to stakeholders, including non-technical audiences. Strong understanding of key customer metrics More ❯

and ability to troubleshoot issues effectively Passion for service excellence and continuous improvement Ability to prioritise workload based on client contracts Basic Microsoft Excel, SQL, and PowerPoint Experience using R or Python Experience as a Data Analyst Experience in a regulated environment, ideally in financial services Knowledge of the credit industry Knowledge of process improvements techniques Entry requirements: A Level More ❯

teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Product Data Scientist will have the following skills and experience: Experience within Product Analytics/ More ❯

Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV, JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor pipelines More ❯

unified approach to data. YOUR SKILLS AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech company. Proficiency in SQL, dbt, Python, R and BI tools such as Looker, Lightdash or Tableau. Ability to translate business problems into analytical tasks and communicate insights clearly at all levels. AB testing/experimentation experience Strong More ❯

across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance and More ❯

forecasts, scenario analyses, or decision-intelligence insights. Strong competency in probability, calibration, scenario design, and structured judgment techniques. Proficiency with forecasting tools, data visualization, or statistical software (e.g., Python, R, Excel) is highly valued. Excellent written and verbal communication, strong analytical reasoning, and collaborative mindset. Commitment of 20–30 hours per week, including required synchronous collaboration periods. Why Join Collaborate More ❯