R Experts in Vienna
for trusted analytics, with fast AI matching and vetted, available freelancersHire experts who turn complex data into reliable models, reports and visualisations with R, tidyverse, Shiny and statistical workflows. FRATCH matches you quickly with precise, vetted and available freelancers for focused delivery or long-term collaboration.
Meet FRATCH Experts in Vienna, 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 analysis and implementation planning for NISG 2026 and 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 in the examination board
- Expert presentations in 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
- Connection to bank account systems via SEPA direct debit mandates and message formats according to ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in ongoing operations
- Own applications under own brand: shared code base, 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 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.
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
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
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.
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
Discover over 15,000 top freelancers
Statistics of experts using R
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
2.1 years
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Healthcare, Professional Services
Certification focus areas
Information Technology, Logistics, Product Development
Bachelor's degree or higher
88%
Master's degree or higher
75%
Doctorate
13%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Vienna 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 Vienna 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 16 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 (75%)
- Healthcare (50%)
- Professional Services (50%)
- Government and Administration (50%)
- Education (38%)
- Banking and Finance (38%)
- Insurance (38%)
- Transportation (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What R is used for
R is a programming language and environment built for statistical computing, data analysis and visualisation. Companies use it to explore complex datasets, test hypotheses, create predictive models and communicate results through clear reports. The R Project and GNU R refer to the same open-source ecosystem.
Packages and workflow
The R ecosystem covers data preparation, modelling, visualisation and publishing. Strong specialists select packages that fit the data and maintain a reproducible workflow from source files to final output.
- tidyverse for data manipulation and analysis
- ggplot2 for layered, publication-ready charts
- Shiny for interactive web applications
- Quarto and R Markdown for reports and documentation
- tidymodels for structured machine learning workflows
Typical deliverables
R work often sits inside research, business intelligence, life sciences, finance, marketing and public-sector analysis. The right professional can shape raw data into an auditable result that decision-makers can understand and use.
- Clean, join and validate data from multiple sources
- Build statistical, forecasting or classification models
- Create dashboards and interactive Shiny applications
- Produce automated reports with charts and narrative
- Package analysis for reuse by internal teams
When external expertise helps
Companies bring in freelance R specialists when an internal team needs advanced statistical depth, a clear analytical product or additional delivery capacity. This is useful during a new research initiative, a reporting redesign, a model validation effort or a transition from manual spreadsheets to reproducible analysis. In Vienna, collaboration may combine remote work with workshops at a local office when data access or stakeholder alignment calls for it.
Skills around R
Effective R work depends on more than syntax. Look for experience with SQL, relational data, APIs, Git, testing, documentation and secure handling of sensitive information. Depending on the assignment, adjacent knowledge may include experimental design, econometrics, bioinformatics, forecasting, machine learning or cloud-based data services.
- Translate business or research questions into measurable analyses
- Explain assumptions, uncertainty and limitations clearly
- Keep code readable, tested and reproducible
- Connect R workflows with existing data infrastructure
Choosing a strong specialist
Review a portfolio for the type of data, modelling and delivery your project requires. Ask how the professional validates results, manages missing or biased data and makes work reproducible for others. A strong specialist can show both technical judgement and clear communication, while adapting to your tools, language expectations and team practices.
Frequently asked questions
Questions about R? Start with the answers below.
Companies use R for statistical analysis, forecasting, experimentation, data visualisation and research reporting. It is also well suited to interactive Shiny applications and reproducible documents that combine narrative, charts and results.
R has particularly strong depth in statistics, research methods and analytical visualisation, while Python is often chosen when analysis must connect closely to broader software or machine learning systems. The better choice depends on the existing stack, the team’s skills and the required deliverable.
An experienced R specialist may also work with SQL, Git, APIs, cloud data services and testing practices. Knowledge of econometrics, experimental design, forecasting, machine learning or a specific industry can be equally important for the assignment.
The required experience depends on the risk and scope of the work, not simply on the language. A dashboard based on prepared data needs different judgement from a regulated model, a research pipeline or a production service, so assess relevant evidence of delivery rather than a generic background.
Yes. R projects can usually be delivered remotely through version control, shared documentation and secure data access. Teams in Vienna may still prefer on-site workshops for discovery, stakeholder reviews or work involving restricted environments.
R can support production dashboards, analytical services, scheduled reports and model workflows when deployment, monitoring and maintenance are planned carefully. Shiny and related tooling can expose analysis to users, while clear testing and reproducibility practices reduce operational risk.
Look for reproducibility, clear assumptions, validated outputs and code that another specialist can maintain. Ask for examples showing how the professional handled data quality, model limitations, documentation and communication with non-specialist stakeholders.
Before starting with R, clarify the data sources, access rules, analytical objective, expected output and definition of acceptance. It also helps to confirm the package environment, version-control process, review responsibilities and whether the final work must run on an existing reporting or deployment setup.
The average hourly rate of freelancers in Vienna, Austria who have used R in their recent projects is 97 €, which corresponds to a daily rate of about 773 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used R in their recent projects, 88% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Vienna, Austria who have used R in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Vienna, Austria who have used R in their recent projects are German (100%), English (100%), and Spanish (25%).
The most common industries among freelancers in Vienna, Austria who have used R in their recent projects are Information Technology (75%), Healthcare (50%), and Professional Services (50%).
The most common business areas among freelancers in Vienna, Austria who have used R in their recent projects are Information Technology (100%), Product Development (88%), 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:
Vienna 
Graz Request a free demo
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FRATCH CEO
