Data Science Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used Data Science
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
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
Delivery of a digital, non-profit neighborhood platform connecting older people with volunteers for practical support and social companionship. Responsibility for business analysis, requirements definition, platform evaluation and delivery of a locally scalable service solution, with a focus on AI-supported development, data-driven optimization and clear market positioning. Evaluation of several low-code/business platforms, including Odoo and Glide Apps, as well as assessment of monday.com as a CRM-related option, before selecting Glide Apps for implementation. Implementation of a non-native mobile and desktop application with Glide Apps and the website with WordPress. Responsibilities
- 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 key user journeys, business processes and operational workflows for older people, volunteers and Administration
- Translating business requirements into requirements for profiles, task management, coordination, communication and notifications
- Supporting the implementation of the non-native mobile and desktop application in Glide Apps and the website in WordPress
- Preparing future AI-supported functions such as intelligent matching and data-driven optimization
- Ensuring compliance with GDPR requirements Results
- Successfully delivered digital support platform connecting older people with volunteers
- Solid foundation for market positioning through market, target group and competitor analyses
- Implemented functional non-native mobile and desktop application with Glide Apps and accompanying website with WordPress
- Created foundation for scaling and AI-based further development
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)
Kevin L.
Last position:
Data Consultant at VBV Pensions- und Vorsorgekasse Österreich
Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support in standardizing 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.
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
Discover over 15,000 top freelancers
Statistics of experts using Data Science
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
3 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Banking and Finance, Healthcare
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
78%
Certifications per freelancer
5
Most common languages
German, English, French
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 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 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 29 Oct 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 (89%)
- Banking and Finance (67%)
- Healthcare (67%)
- Retail (67%)
- Media and Entertainment (56%)
- Professional Services (56%)
- Education (44%)
- Transportation (44%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Science covers
Data Science combines statistics, mathematics, programming and domain knowledge to extract useful insight from structured and unstructured data. Experts use it to forecast demand, detect fraud, recommend products, optimize operations and support evidence-based decisions. Work can range from exploratory analysis to production machine learning systems.
Models and deliverables
Typical assignments turn a business question into a measurable data product. Depending on the need, experts may deliver:
- Forecasting, classification and clustering models
- Recommendation and personalization systems
- Customer segmentation and churn analysis
- Natural language or image processing workflows
- Experiments, dashboards and decision-ready reports
Tools and ecosystem
Python is widely used alongside pandas, NumPy, scikit-learn and notebooks for preparation, analysis and modeling. PyTorch and TensorFlow support deep learning, while SQL remains essential for accessing operational data. Strong delivery also involves cloud services, data warehouses, Git, containers, orchestration and monitoring.
When companies need specialists
Companies often bring in freelance expertise when internal teams lack capacity, a model must move from prototype to production, or a new data source needs a reliable evaluation. In Vienna, specialists may support finance, manufacturing, mobility, retail, healthcare and public-sector use cases. Remote work can suit analysis and modeling; on-site collaboration helps when access, workshops or domain context matter.
What strong experts deliver
Good professionals connect technical choices to a clear business outcome. They define target variables, check data quality, prevent leakage, select suitable validation methods and explain uncertainty. They also document assumptions, create reproducible pipelines and consider privacy, fairness, security and model drift before deployment.
Choosing the right fit
Look for evidence of work that resembles your data, constraints and decision process rather than a tool list alone. Discuss data access, labeling, infrastructure, deployment ownership and success criteria early. A capable freelancer communicates trade-offs clearly, works effectively with product and domain teams, and leaves behind maintainable code, documentation and a practical handover.
Frequently asked questions
Before you brief your next project: the most common questions about Data Science.
Data Science is used to discover patterns, make predictions and improve decisions from data. Common applications include demand forecasting, fraud detection, recommendation, customer segmentation, quality control and text or image analysis.
Data Science usually combines statistical reasoning, software development and machine learning to build repeatable data products. Business intelligence often focuses on reporting and descriptive dashboards, while traditional statistics may emphasize inference and study design; projects can use all three approaches together.
A strong Data Science freelancer often also works with SQL, data modeling, cloud storage, APIs, Git and deployment workflows. Depending on the project, useful adjacent skills include MLOps, experiment design, data visualization, domain research and responsible AI practices.
The right level depends on the data quality, business risk and delivery stage, not on a fixed duration. A focused analysis may need a specialist who can work independently with messy data, while a production model needs experience with testing, deployment, monitoring and stakeholder adoption.
Data Science is often well suited to remote collaboration because analysis, notebooks, code review and model evaluation can happen online. Vienna-based or on-site sessions can still help with sensitive data access, workshops, German-language communication or close work with operational teams.
Ask the Data Science expert to explain how they would define the target, test data quality, choose a baseline and measure business value. Strong answers address validation, leakage, uncertainty, reproducibility and how the model will be used after delivery.
Data Science work should not begin with a complex model by default. If a transparent rule or statistical baseline solves the problem reliably, it may be preferable; machine learning becomes valuable when patterns are difficult to encode manually and sufficient, relevant data is available.
For Data Science, agree on the business decision, available data, access controls, success metric, delivery format and ownership of deployment. Also clarify who validates results, how sensitive information is handled and whether the freelancer is expected to support monitoring after launch.
The average hourly rate of freelancers in Vienna, Austria who have used Data Science in their recent projects is 115 €, which corresponds to a daily rate of about 919 € 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 78% hold at least a Master's degree.
On average, freelancers in Vienna, Austria who have used Data Science in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3 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 (33%).
The most common industries among freelancers in Vienna, Austria who have used Data Science in their recent projects are Information Technology (89%), Banking and Finance (67%), and Healthcare (67%).
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 (89%), and Product Development (78%).
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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