R Experts in Austria
for trusted data products, matched in minutes with vetted and available freelancersHire experts who turn statistical models, research data and business questions into reliable R workflows, Shiny applications and clear visualizations. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Austria, who have recently used R
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis 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
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business 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
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- 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.
Burak E.
Last position:
Senior Software Engineer at Nürnberger Versicherung
Further development of an insurance product quotation system
- Implementation and maintenance of pricing logic for property and casualty products (accident, property liability, business contents) based on Java and FaktorIPS
- Implementation of actuarial tariff revisions into product-specific calculation models
- Development and refactoring of backend components and web UI components
- Creation and maintenance of test tables and automated premium tests for quality assurance
- Code reviews and active involvement in quality assurance in the development process
- Production support and bug fixing in live operations
Christian W.
Last position:
EHF.at
- Further development and ongoing maintenance of the existing WordPress site for EHF.at to revamp the responsive design and improve usability on mobile devices.
- Integration of WooCommerce into the existing site for full e-commerce functionality and digitization of the team sports apparel sales process.
- Implementation and configuration of an automated newsletter system to strengthen customer loyalty through regular updates and personalized offers.
- Ongoing maintenance including regular updates, performance optimizations, and security checks to keep the site up-to-date and functional.
- Project-related technical activities: PHP, CSS, and JavaScript.
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
Jori M.
Last position:
Agile IT Manager Healthcare Systems at MA01 Gov. Digital City
- Responsible for managing GMP-critical systems
- Leading a team of 20 professionals
- Vendor management with a €15M annual budget
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
2.7 years
Positions per freelancer
7
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, Human Resources
Bachelor's degree or higher
92%
Master's degree or higher
83%
Doctorate
17%
Certifications per freelancer
2
Most common languages
German, English, Italian
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge 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 19 Sep 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 (83%)
- Professional Services (50%)
- Banking and Finance (42%)
- Manufacturing (42%)
- Education (33%)
- Media and Entertainment (33%)
- Healthcare (25%)
- Insurance (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
R in practice
R is an open-source programming language and environment for statistical computing, data analysis and visualization. Teams use it to explore complex datasets, test hypotheses, create reproducible reports and deliver models that support operational decisions. Its strength lies in a broad package ecosystem and clear support for analytical workflows.
Applications and outputs
R appears across research, finance, healthcare, manufacturing, retail and public-sector analysis. Typical deliverables include:
- Statistical models for forecasting, classification and experimentation
- Interactive Shiny dashboards for internal or customer-facing use
- Reproducible reports with R Markdown or Quarto
- Publication-ready charts with ggplot2
- Data preparation pipelines for recurring analysis
Ecosystem and tooling
The tidyverse provides widely used tools such as dplyr, tidyr, readr and ggplot2 for transforming and presenting data. Professionals also work with data.table, caret, tidymodels, Bioconductor and Spark integrations when projects demand scale or specialized methods. RStudio, Posit Workbench, Git and package management support structured delivery.
When expertise helps
Companies bring in freelance R expertise when a prototype must become a dependable service, an existing script needs review, or a team lacks specialist knowledge in statistical methods. In Austria, R projects may support regulated industries, scientific institutions and international teams, with remote collaboration often combined with clear documentation and occasional on-site workshops.
Skills around R
Strong work with R goes beyond writing scripts. Relevant capability includes experimental design, probability, linear and generalized linear models, time series, machine learning, database access and API integration. Professionals may also connect R with Python, SQL, cloud storage, container workflows and reporting systems. Checked quality practices include:
- Version-controlled code with readable project structure
- Tests, validation checks and documented assumptions
- Reproducible environments and dependency management
- Secure handling of sensitive or regulated data
Choosing a specialist
Look for evidence that the professional has delivered the kind of output your team needs, whether that is a Shiny application, forecasting pipeline, research report or production handover. A strong specialist explains model limits, validates results against the business question and makes decisions traceable. Ask how they handle missing data, changing requirements, review by domain experts and long-term maintenance.
Frequently asked questions
Curious about R? Here are the answers that come up again and again.
R is used for statistical analysis, data visualization, forecasting, research and machine learning. It is also suited to interactive Shiny applications and reproducible reports that let teams inspect both results and methodology.
R has a particularly strong foundation in statistics, visualization and research-oriented analysis. Python is often preferred for broader software integration and machine learning operations, while many teams use both and choose according to the deliverable, existing stack and specialist skills.
An R specialist may also need SQL, Git, experimental design, database modeling and cloud services. Experience with APIs, Docker, Python, Quarto or Shiny is valuable when analysis must become a shared application or repeatable service.
The right level for R depends on the risk and scope of the work. A contained visualization may need focused expertise, while regulated reporting, production models or complex statistical designs require a specialist who can validate assumptions, document decisions and support handover.
Yes, R work is often well suited to remote collaboration because code, data definitions and reports can be reviewed in shared repositories. Austrian teams should agree on data access, meeting language, documentation standards and any need for on-site workshops before work begins.
Shiny is a strong choice when users need an interactive browser-based interface for R analysis without a separate front end. A specialist should still assess authentication, performance, deployment, concurrent users and maintenance before recommending it for an operational application.
Review whether the R solution is reproducible, tested and understandable to another professional. Good work includes clear data checks, suitable statistical methods, documented assumptions, meaningful visualizations and a handover that covers dependencies and future changes.
A strong R handover includes the source code, environment or package details, data schema, run instructions and explanation of key decisions. It should also identify known limitations, validation results and the steps needed to update reports, models or Shiny applications safely.
The average hourly rate of freelancers in Austria who have used R in their recent projects is 104 €, which corresponds to a daily rate of about 836 € based on an 8-hour working day.
Of the freelancers in Austria who have used R in their recent projects, 92% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% 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 2.7 years.
The most common languages among freelancers in Austria who have used R in their recent projects are German (100%), English (100%), and Italian (33%).
The most common industries among freelancers in Austria who have used R in their recent projects are Information Technology (83%), Professional Services (50%), and Banking and Finance (42%).
The most common business areas among freelancers in Austria who have used R in their recent projects are Information Technology (92%), Product Development (83%), and Project Management (75%).
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.
Countries:
- Germany
- Austria
- Switzerland
Vienna Graz Request a free demo
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Philipp Thomaschewski
FRATCH CEO
