R Experts in Austria
for data products, models and reporting, matched in minutes with vetted freelancersHire experts who turn complex datasets into reliable statistical models, interactive Shiny applications and clear business reports. FRATCH connects you quickly with precise matches from vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used R
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own company for AI governance and data products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact assessment and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of Master's theses and participation on examination boards
- Industry talks for businesses and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and Zero-Knowledge encryption, cloud-native on EU infrastructure
- Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in live operations
- Own applications under my own brand: shared codebase, separate deployment for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Professional publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Manuel P.
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
Marcel S.
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Jori M.
Last position:
Agile IT Manager Healthcare Systems at MA01 Gov. Digital City
- Responsible for managing GMP-Critical systems
- Leading team of 20 professionals
- Vendor management with €15 M annual budget
Laura H.
Last position:
Sr. BI Consultant & Project Manager at Multivariata
- Project Lead, Sr. BI Expert, Data Scientist, Automation Engineer for Marketing Analytics | Customer Insights (retail, e-commerce)
- Product Manager: Asset Metadata Ingest & Provide
- Product Owner Business Intelligence – responsible for 2 teams: cloud data engineering, data warehouse (logistics)
- Product Owner for setting up a reporting platform on Azure & Power BI (finance)
Sergiu M.
Last position:
IT Project Manager & Transformation Lead at OMV
- Program delivery: set-up of strategic initiatives from ideation to execution, designing cross-divisional operating models that streamlined delivery across 6 business units.+
- Large scale initiatives: IT project manager of eMobility mobile app development for entire group, cross-country and multi-year initiative, with budget oversight of >2Mn and 20 FTEs.
- Product lifecycle management: delivered the end-to-end SDLC of a key B2B digital mobility application, successfully launching to 10 000+ users while managing vendor partnerships and system architecture.
- Vendor oversight: successfully negotiated and managed multi-vendor contracts, with negotiated contract value of 30% with no impact on scope.
- Architecture definition: definition of system architectures to ensure scalable, cost-effective solutions for the pricing, logistics and mobility domains, integration of 3 back-end systems.
- Digital transformation & coaching: supported group-wide agile maturity as a coach, upskilling pool of over 40 professionals in Product Management to increase delivery predictability and ensure value-driven approach.
Armin F.
Last position:
Head of AI & Data Science at Ascent DACH
- Lead architect for AI and ML projects including GenAI, LLM-based apps and forecasting solutions
- Guided customers through solution scoping, architecture design, and PoCs across various industries (Pharma, Insurance, Logistics, FMCG)
- Delivered production ML pipelines using Azure ML, MLflow, and MLOps best practices
- Responsible for effort estimation, delivery and staffing of 5 – 10 projects simultaneously
- Hiring manager for the data science and AI team and responsible for creating the technological offering and roadmap in the AI & Data Science space
- Built and scaled the AI/Data Science service offering from scratch to a high 6-figure annual revenue with 30+ successful deliveries and 20+ clients
- Regular speaker at AI and data science conferences and academic institutions
Dániel N.
Last position:
Postdoctoral Researcher - Theoretical and Computational Physics at Radboud University
- Built and maintained C and C++ simulation engines with Python analysis for studies of 4D random geometries on shared HPC systems.
- Developed modular Python pipelines with clear interfaces and caching for large datasets to improve analysis throughput and reuse.
- Automated SLURM and PBS batch workflows for submission, monitoring, environment capture, and artifact packaging to ensure reproducibility.
- Refactored utilities into tested, documented packages to lower maintenance effort and support collaboration.
- Supervised BSc students and organized seminars.
- Published several peer-reviewed papers.
Thomas U.
Last position:
Consultant at Henrich Baustoffe
- Developing the required views and KPIs in collaboration with the different departments and management
- Preparing and modeling the various data sources
- Implementing the company-wide and cross-department dashboard in Microsoft Power BI
Viktoria M.
Last position:
Speaker & Moderator at Self-employed
- For 3 years, I've been speaking professionally in public about topics close to my heart and hosting events and live and TV broadcasts.
Alexander B.
Last position:
IT-Consultant and Trainer at Self-employed
- Enterprise & Solution Architecture and Business Analysis for various clients
- IT-Trainer for Software Architecture (Sparx Systems GmbH) and Business Process Modeling
- Data Analyst for Novustat (Statistics, Machine Learning, Financial Mathematics)
Discover over 15,000 top freelancers
Statistics of experts using R
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
3 years
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
91%
Master's degree or higher
73%
Doctorate
18%
Certifications per freelancer
2
Most common languages
German, English, Italian
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Austria using R
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
R experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (82%)
- Professional Services (73%)
- Banking and Finance (55%)
- Manufacturing (45%)
- Media and Entertainment (45%)
- Education (36%)
- Healthcare (36%)
- Transportation (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Statistical Computing
R is a programming language and environment for statistical computing, data analysis and visualisation. It is used to explore large datasets, test hypotheses, create forecasts and communicate findings through reproducible reports. Companies use it across research, finance, healthcare, manufacturing, marketing and public-sector analysis.
Data Workflows
R specialists build complete analytical workflows, from importing raw data to delivering validated results. They connect databases, APIs, spreadsheets and cloud storage, then clean, transform and document the data with tools such as the tidyverse and data.table.
- Design repeatable data preparation pipelines
- Combine structured and unstructured sources
- Define tests, checks and reproducible outputs
- Automate scheduled reports and model runs
Packages And Tools
The R ecosystem includes ggplot2 for visualisation, dplyr for data manipulation, tidyr for reshaping and Quarto or R Markdown for reporting. Shiny adds interactive web applications, while package management, Git and CI workflows support maintainable delivery. Strong specialists select tools according to the data, audience and operating environment.
Models In Production
R is well suited to statistical modelling, forecasting, experimentation, survey analysis and machine learning. Freelance expertise becomes valuable when a team needs to evaluate model assumptions, improve data quality, expose results through an API or move analysis from a notebook into a dependable service. Production work may also involve Python, SQL, Docker or cloud infrastructure.
When To Hire
Companies often bring in an R professional during a reporting redesign, a research programme, a model validation effort or the launch of a Shiny application. External support can also help when internal analysts are overloaded, documentation is weak or an existing codebase needs to become easier to test and maintain. In Austria, collaboration may combine remote delivery with on-site workshops and German or English communication.
Quality Signals
A strong R specialist explains assumptions, validates inputs and makes analytical decisions traceable. Look for clear project structure, readable functions, version control, automated checks and reports that a non-specialist can understand. Good professionals also know when R is the right choice, when another tool should complement it and how to hand over a workflow that others can operate confidently.
Frequently asked questions
Curious about R? Here are the answers that come up again and again.
R is used for statistical analysis, data visualisation, forecasting, experimentation, research and machine learning. It also supports interactive Shiny applications and automated reports for business, scientific and public-sector teams.
R has especially strong support for statistical methods, exploratory analysis and publication-ready visualisation. Python often offers broader general-purpose application tooling, so the choice depends on the existing stack, the team’s skills and whether analytical depth or wider software integration is the main concern.
A capable R specialist often works with SQL, Git, APIs, Docker, cloud storage and CI workflows. Experience with tidyverse, Shiny, Quarto, R Markdown and data visualisation is useful, while Python can help when a project crosses language boundaries.
An R project benefits from experienced support when data sources are inconsistent, model assumptions matter or results must be reproducible and auditable. More advanced expertise is also important when a Shiny application, forecasting workflow or analytical service will be used by many people.
R work is often well suited to remote collaboration because code, data definitions and reports can be reviewed asynchronously. Teams in Austria should agree on access controls, data handling, meeting routines and whether German, English or both are needed for workshops and documentation.
Review how an R specialist structures code, tests transformations, documents assumptions and explains uncertainty. A strong portfolio should show reproducible analysis, clear visualisations and deliverables that another professional can run, inspect and maintain.
R can support production reporting, model services and interactive Shiny applications when deployment, testing and monitoring are planned properly. For broader application backends, it may work alongside Python, Java or another service technology rather than operating alone.
Working with R requires more than writing analysis scripts: specialists need to manage dependencies, protect sensitive data and communicate findings to technical and non-technical stakeholders. Familiarity with package development, version control and reproducible reporting makes project collaboration much stronger.
The average hourly rate of freelancers in Austria who have used R in their recent projects is 101 €, which corresponds to a daily rate of about 806 € based on an 8-hour working day.
Of the freelancers in Austria who have used R in their recent projects, 91% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Austria who have used R in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Austria who have used R in their recent projects are German (100%), English (100%), and Italian (36%).
The most common industries among freelancers in Austria who have used R in their recent projects are Information Technology (82%), Professional Services (73%), and Banking and Finance (55%).
The most common business areas among freelancers in Austria who have used R in their recent projects are Information Technology (91%), Product Development (82%), and Project Management (82%).
Main locations of FRATCH Experts, who have recently used R
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz 
Vienna Countries:
- Germany
- Austria
- Switzerland
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FRATCH CEO
