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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 engineer

Data Engineer II – QuantumBlack, AI by McKinsey @ quantumblack

GB | 2025-12-28
London-based Data Engineer II at a McKinsey-affiliated team promises pedigree, scale, and a steady drip of enterprise data problems for ML. The role centers on building scalable, modular... read more »
Analytics, AI/ML, Data Quality, R, Data Engineering, Agile/Scrum, C, Computer Science, Python, Scala, Java, Docker, Kubernetes, Spark, Cloud Computing, AWS, Azure, GCP, Pandas, NumPy, Matplotlib, DevOps, DataOps, MLOps, PySpark, SQL, Airflow, Databricks, GenAI, Management
data engineer

Data Engineer - Defence @ ibm

GB | 2025-12-27
IBM CIC seeks a Managing Data Engineer with advanced analytics expertise to develop innovative solutions for complex business problems, emphasizing leadership and mentorship. A key differentiator... read more »
IBM, Cloud Computing, AI/ML, Analytics, Data Engineering, Data Collection, SPSS, Python, R, SQL, Pandas, NumPy, TensorFlow, PyTorch, Big Data, Hadoop, Spark, Data Science, AWS
promoted

Masthead Data

Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.

data engineer

Junior Data Engineer @ burson

GB | 2025-12-26
A Junior Data Engineer role at Burson involves supporting data pipelines and AI models in a hybrid London setting. The position emphasizes Python scripting, Azure cloud infrastructure, and... read more »
AI/ML, DevOps, Python, Azure, Computer Science, BI, Agile/Scrum, Git, API, Power BI, Azure DevOps, Java, R, DAX, NoSQL, SQL, MongoDB, Parquet
data engineer

Data Engineer I - QuantumBlack, AI by McKinsey @ quantumblack

GB | 2025-12-26
Data Engineer I at a top consultancy places you at the intersection of data pipelines, ML readiness, and client-facing delivery in London. The role promises rigorous on-the-job learning,... read more »
Analytics, AI/ML, Data Quality, R, Data Engineering, Agile/Scrum, C, Computer Science, Python, Pandas, NumPy, Matplotlib, Spark, Cloud Computing, AWS, Azure, GCP, Docker, Kubernetes, DevOps, DataOps, MLOps, PySpark, SQL, Airflow, Databricks, GenAI, Management
data engineer

Associate Data Engineer @ quantexa

GB | 2025-12-25
Quantexa pitches a breadth-first data engineering role inside an R&D group that builds internal applications, demos, and a SaaS version of its platform, aimed at mid-market banks for Retail AML.... read more »
Data Analytics, Go, R, SaaS, Data Engineering, Big Data, Data Lake, Analytics, Cloud Computing, ETL/ELT, Agile/Scrum, Scala, Java, Python, Data Science, Spark, Airflow, ELK, Data Quality