Data Science Experts in Vienna
for smarter decisions, matched in minutes with vetted and available freelancersHire experts who turn complex data into reliable forecasts, recommendation systems and clear business insights. Work with specialists in Python, SQL, machine learning and statistical modeling, precisely matched to your needs through fast AI-powered selection.
Meet FRATCH Experts in Vienna, who have recently used Data Science
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
Chrisabel P.
Last position:
AI Systems & Product Strategy Expert at Webmeisterin
I build. I advise. I think in systems. After years leading digital transformation at scale — Accenture, BP, Lidl — I made a deliberate choice: trade platform dependency for structural independence. My focus is at the intersection of AI systems, product strategy, and venture thinking. I work with operators and founders who want to move fast without losing control — of their data, their stack, their direction.
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
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.
Shahram F.
Last position:
Senior Product Owner at Elderly Neighbour Watch
Delivered a digital, non-profit neighborhood platform to connect older adults with volunteers for practical support and social companionship. Responsible for business analysis, requirement definition, platform evaluation and delivery of a locally scalable service solution focusing on AI-driven enhancements, data-based optimization and clear market positioning. Evaluated several low-code/business platforms including Odoo and Glide Apps and assessed monday.com as a CRM-like option before selecting Glide Apps for implementation. Implemented a non-native mobile and desktop application with Glide Apps and the web presence with WordPress. Tasks
- Gathering, analyzing and structuring business requirements for the product and service model
- Conducting market, target group and competitor analyses to position the offering
- Evaluating and selecting suitable low-code/business platforms for implementation
- Defining core user journeys, business processes and operational workflows for older adults, volunteers and administration
- Translating business requirements into functional requirements for profiles, task management, coordination, communication and notifications
- Guiding the implementation of the non-native mobile and desktop application in Glide Apps as well as the web presence in WordPress
- Preparing the business side for future AI-powered features such as intelligent matching and data-based optimization
- Ensuring compliance with GDPR requirements Results
- Successfully delivered digital support platform connecting older adults with volunteers
- Solid foundation for market positioning through market, target group and competitor analyses
- Delivered a functional non-native mobile and desktop application with Glide Apps and a supporting web presence with WordPress
- Established foundation for scaling and AI-based further development
Christian S.
Last position:
Commercial Manager/CFO at MEV Independent Railway Services GmbH
- CFO, authorized signatory, commercial managing director: finance, HR, IT & organization, funding
- Achieved reorganization and 100% growth in staff and revenue over four years while keeping fixed costs constant
- Improved a negative equity ratio to plus 30%
- Implemented a modern IT and reporting system
Rene S.
Last position:
Head of Digital Services & IT at reet systems gmbh / THEOPHIL Holding GmbH
- Overall responsibility for IT, software development, and digital services of the company for brands such as Rosenberger, Rosehill, Burger King Austria (approx. 70 companies)
- Built the holding's lakehouse and data analytics platform
- Established and led the software development and IT department
- Established and led the operation (cloud-native AWS) of the B2B platform
- Connected IoT systems and developed models for predictive maintenance and production planning, data lake/lakehouse, and BI
- Preparation for ISO 27001 information security certification
- Technologies: Cloud, AWS, Java, Cypress, Angular, Python, Go
Kevin L.
Last position:
Data Consultant at VBV Pension and Provident Fund Austria
Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support for the standardization of process documentation to improve transparency, consistency, and traceability across all operational workflows. Contribution to defining documentation standards, templates, and governance principles for internal process management and audit readiness.
Discover over 15,000 top freelancers
Statistics of experts using Data Science
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.8 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Operations
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Project Management, Human Resources
Bachelor's degree or higher
100%
Master's degree or higher
88%
Certifications per freelancer
5
Most common languages
German, English, French
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 Vienna 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 Vienna using Data Science
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.
Data Science 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 (88%)
- Banking and Finance (63%)
- Healthcare (63%)
- Retail (63%)
- Education (50%)
- Manufacturing (50%)
- Media and Entertainment (50%)
- Insurance (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Science Covers
Data Science combines statistics, programming, domain knowledge and analytical thinking to turn raw information into useful evidence. Specialists collect, clean and explore data, then create models that explain patterns, predict outcomes or support decisions. The work can range from a focused analysis to a production system used across an organization.
Models and Deliverables
- Forecasting demand, revenue, risk or customer behavior
- Building classification, regression and recommendation models
- Designing experiments and measuring business impact
- Creating dashboards, reports and decision-ready analyses
Strong work connects a model to a clear business question. It also defines suitable metrics, documents assumptions and explains results to people who do not work with code every day.
Tools and Ecosystem
Python is widely used with pandas, NumPy, scikit-learn and notebook environments. Specialists may also work with R, SQL, Spark, cloud data warehouses and orchestration tools. Machine learning projects often include deployment services, model monitoring, version control and reproducible pipelines rather than isolated notebooks.
When Companies Need Support
- A new data source needs cleaning, validation and structure
- Existing reports do not explain changing business outcomes
- A predictive model must move from prototype to production
- An internal team needs support with experimentation or measurement
Companies in Vienna may use Data Science for finance, mobility, manufacturing, retail, healthcare and public services. Freelance specialists can add focused expertise while collaborating remotely or with teams on site.
Skills That Matter
A strong professional understands probability, statistical inference, feature engineering and model evaluation. They can work with relational data, APIs and cloud environments, while recognizing leakage, bias, drift and weak sampling. Communication matters just as much: useful analysis makes uncertainty visible and gives stakeholders a practical next step.
Choosing the Right Specialist
Start with the decision the project must improve, the available data and the expected deliverable. Then assess whether the specialist has handled comparable data quality, modeling constraints and deployment needs. Ask for a clear validation approach, readable documentation and an explanation of how results will be maintained after handover. For Vienna-based collaboration, clarify on-site expectations and the working language early.
Frequently asked questions
Before you brief your next project: the most common questions about Data Science.
Data Science is used to find patterns in data and turn them into forecasts, classifications, recommendations or operational insights. Typical work includes customer analytics, fraud detection, demand planning, experimentation and automated decision support.
Data Science often focuses on prediction, experimentation and statistical modeling, while business intelligence usually emphasizes reporting on what has already happened. The two disciplines overlap, and a strong project may need dashboards alongside predictive models.
A capable Data Science specialist often works with Python, SQL, statistics, data engineering and cloud services. Depending on the project, experience with machine learning operations, visualization, experimentation or a specific industry is also important.
The right level depends on data quality, model risk and whether the result must run in production. A focused analysis may need a specialist with a narrow skill set, while a production machine learning system calls for experience across modeling, deployment, monitoring and stakeholder communication.
Yes, much of Data Science can be completed remotely when data access, documentation and communication are well organized. On-site sessions in Vienna can still help with workshops, domain discovery, sensitive processes or collaboration with teams that prefer face-to-face work.
Look for a clear link between the business question, the data and the evaluation method. A strong Data Science freelancer explains assumptions, tests for leakage and bias, compares sensible baselines and documents how the result will be used and maintained.
Data Science is the broader discipline, covering data preparation, statistics, analysis, communication and modeling. Machine learning is one set of methods within it, focused on systems that learn patterns from data for tasks such as prediction or classification.
Define the decision to improve, the data sources available, access restrictions and the expected output. For Data Science, it is also useful to agree on success metrics, validation rules, deployment responsibilities and whether collaboration should happen remotely, on site in Vienna or in a hybrid format.
The average hourly rate of freelancers in Vienna, Austria who have used Data Science in their recent projects is 117 €, which corresponds to a daily rate of about 933 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Data Science in their recent projects, 100% hold at least a Bachelor's degree and 88% hold at least a Master's degree.
On average, freelancers in Vienna, Austria who have used Data Science in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Vienna, Austria who have used Data Science in their recent projects are German (100%), English (100%), and French (38%).
The most common industries among freelancers in Vienna, Austria who have used Data Science in their recent projects are Information Technology (88%), Banking and Finance (63%), and Healthcare (63%).
The most common business areas among freelancers in Vienna, Austria who have used Data Science in their recent projects are Information Technology (100%), Business Intelligence (88%), and Operations (75%).
Main locations of FRATCH Experts, who have recently used Data Science
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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