R (Language)

programming language, statistical computing, data analysis
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Back in the late nineties, when statisticians apparently decided coding was cool, R emerged as a sort of open-source rebellion against the expensive, proprietary statistical packages dominating the landscape. It promised a flexible environment for data analysis, visualization, and, let’s be honest, a frankly alarming degree of customizability. The reality? It’s a bit like building a car from spare parts – incredibly powerful if you really know what you’re doing, but prone to unexpected breakdowns and requiring constant tinkering.

Compared to Python, which has become the darling of the machine learning crowd, R remains stubbornly focused on statistical computing. While Python strives for general-purpose dominance, R happily wallows in its niche, beloved by academics, biostatisticians, and anyone who enjoys wrestling with package dependencies. It’s still surprisingly relevant, powering much of the statistical rigor behind everything from clinical trials to financial modeling. Though one suspects many users are still running code written on floppy disks.

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data scientist

Consultor/a Financial Analytics @ kpmg-espana

ES | 2025-12-27
An honest take on KPMG Madrid's Financial Analytics consultant role: it's a hybrid of analytics, risk design, and tech transformation rather than a pure data engineering gig. You'll build internal... read more »
Analytics, NLP, AI/ML, Data Science, Big Data, SAS, SQL, VBA, R, Python
data scientist

Effectiveness and IA Trainee @ dentsu

ES | 2025-12-26 | € 500 / month
Dentsu Spain offers a paid internship in Effectiveness and AI, providing real-world experience in data collection, analysis, modeling, visualization, and optimization within the advertising... read more »
AI/ML, R, Python, SPSS, Marketing, Tableau, Power BI, Looker Studio
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

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data scientist

Consultant - Risk & Resilience @ mckinsey

ES | 2025-12-24
Senior Analyst in the Risk & Resilience Practice promises global exposure across 65+ countries, a culture of rapid learning, and a pipeline of client-facing risk work—from credit risk to advanced... read more »
Management, Analytics, Computer Science, Python, R, SQL, NoSQL, MATLAB, SAS, AI/ML, NLP, GenAI
data scientist

Technical Support Intern @ sas

ES | 2025-12-23
SAS's CareerStart@SAS Technical Support Intern in Madrid offers a six-month, full-time boot into an enterprise data crowd, with real work rather than coffee runs. The role centers on triaging and... read more »
AI/ML, SAS, Computer Science, Unix, Linux, Analytics, Python, R, SQL, Cloud Computing, Data Analytics
data scientist

Data Technical Expert (IA) - Híbrido Málaga @ ustglobal

ES | 2025-12-23
The role involves providing technical leadership in data and AI, designing and deploying complex data platforms, pipelines, and models, with a notable emphasis on architecture and best practices.... read more »
AI/ML, Cloud Computing, Big Data, Data Streaming, MLOps, Python, SQL, Scala, Java, R, AWS, Azure, GCP, Spark, Databricks, Hadoop, Kafka, Airflow, Trino, NoSQL, Docker, Kubernetes, CI/CD, IaC
data scientist

Programa de becas Riesgos y Regulación Financiera (GRC-Assurance- FY26) @ pwc-espana

ES | 2025-12-22
This role is an intermediary position for students seeking practical experience in regulatory and risk management within a leading professional network. The job emphasizes technical and financial... read more »
BI, SAS, Python, Big Data, R