Data Science Experts in Frankfurt
matched in minutes from over 15,000 CVsHire experts who turn complex data into reliable forecasts, recommendation systems and decision tools using Python, R, SQL, machine learning and cloud platforms. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Frankfurt, who have recently used Data Science
Eric B.
Last position:
Quality Assurance Manager (QSV) at Federal Employment Agency
Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.
Defining the general guidelines in the QA handbook
Summarising test results in QA reports for PLA
Analysing project results for improvement opportunities
Quality management of requirements analysis (particularly processes, methods, and tools)
Ensuring compliance with SERA requirements
Creating a cross-project test concept
Agreeing on sprint completion reports
Formal review of work results in accordance with requirements and/or the project plan
Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
Bardiya B.
Last position:
Data Scientist at Rewe Digital GmbH
Statistical Forecasting Algorithm
- Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
- Migration from R/On-premise to Python/Snowflake
- Productionalization on Snowflake in cooperation with data engineers & DevOps
Monitoring Dashboard
- Data engineering for preparation & provisioning of necessary data/resources on Snowflake
- Development & deployment of a Streamlit dashboard in Snowflake
ML-based Probabilistic Forecasting on Vertex AI
- Development of a ML-based probabilistic forecasting algorithm from scratch
- Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI
Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow
Helge B.
Last position:
Solution Architect at Deutsche Bahn
- Responsible for the end-to-end application and integration architecture for the S-Bahn Hamburg maintenance digitalisation program. A highlight is the introduction of robots and permanently installed camera gates to automate vehicle inspections, allowing AI image algorithms to assess the condition of trains during operation.
- Deutsche Bahn has one of the largest SAP PM implementations in the world, which is a central component of this digitalisation.
Benjamin R.
Last position:
Technical Director at maincubes Holding & Service GmbH
- Development and implementation of technical guidelines for electrical and mechanical systems
- Development of the electrical safety organisation as responsible electrician (gVEFK)
- Implementation and oversight of DCIM and related technical software solutions
- Design of technical solutions for lifecycle infrastructure and customer projects
Eduard V.
Last position:
Lead of workshop “Introduction to AI Development Tools” at Software company in Wiesbaden
- Presentation introducing generic A.I. and Large Language Models
- Explanation of legal frameworks (EU AI Act, US CLOUD Act, DSGVO)
- Systematic review of AI tools along the SDLC and holistic systems
- Comparison of on-prem LLMs vs. cloud-based solutions, as well as change management and works council considerations
- Moderation of the discussion and definition of next steps for introducing AI development tools
Ulf S.
Last position:
Innovation Manager at Claas
- Steer innovation projects for AI-based systems, focusing on plant detection technology for agricultural applications.
- Champion digital transformation initiatives within software departments, advocating for Agile methodologies and Scrum-based workflows.
- Analyse and optimise team infrastructure, fostering a culture of continuous improvement and strategic development.
- Pioneered integration of AI technology in agricultural equipment, significantly advancing precision farming techniques.
- Designed a cloud-based dashboard platform, facilitating real-time data access and decision-making for field management.
- Developed camera-based GPS systems for tractors, enhancing field analysis capabilities.
- Created and implemented AI interfaces for pre-processing image data, ensuring seamless statistics delivery to the cloud via LTE.
- Innovated cloud-based dashboard platforms, introducing cutting-edge technology concepts and coordinating cross-functional teams to execute project visions.
Almaz A.
Last position:
Head of Innovation AI
In my current position, I have end-to-end responsibility for AI products: from identifying and prioritizing use cases, developing sound business cases, AI roadmaps, and capacity and resource allocation, through to scalable implementation across countries and business areas.
I design operating models, delivery standards, and operational concepts that ensure AI product development runs reliably and scales sustainably – always aligned with strategy, goals, capacities, and business value.
Leading and developing interdisciplinary teams of data science and product professionals in an agile working model is a core part of my role – I currently lead a team of three employees.
I am confident in stakeholder management at senior management level and in international structures, and translate complex technical topics into clear, business-oriented recommendations for action.
I consider governance from the outset: I consistently align AI initiatives with regulatory requirements (including the EU AI Act), risk management, and data protection requirements.
Mathew D.
Last position:
Data Science Expert and AI Strategist at Freelancer
- Built an API to ingest, clean, translate, and index EU tenders documents in Neo4j, enabling hybrid search with RAG and Cypher queries via a Streamlit dashboard
- Deployed the API on AWS Lightsail container services with CI/CD automation via GitHub Actions, ensuring stability through pytest unit and integration tests
- Designed and developed a comprehensive online course on data analysis using ChatGPT for professionals and learners, creating instructional videos and interactive Jupyter notebooks
- Utilized OBS and professional audio equipment to ensure high-quality video and audio content
- Led a CRM data normalization and cleaning project visualized via a Sankey diagram to aid customer understanding and pipeline development
- Implemented and validated a genAI-driven web crawling strategy on AWS, ensuring data quality, scalability, and CRM data augmentation
Vladimir F.
Last position:
IT Consultant at ITZBund
- ITSM consulting, analysis and optimization of IT capacity with BMC TSCO / BMC Helix
- Drafting "Governance guidelines for operational capacity management"
Khaled T.
Last position:
Consultant / DevOps Engineer at Dr. Ing. h.c. F. Porsche Aktiengesellschaft
- Porsche ID is a unified digital identity platform providing secure authentication and seamless access across Porsche’s online services, mobile apps, and connected vehicle features
- Designed and implemented new authentication and authorization functionalities for both users and systems
- Ensured high availability, security, and performance to deliver a flawless digital experience for Porsche customers
- Technologies: Auth0, Angular, Tailwind, AWS, Terraform, Github
- Methodologies: Scrum and SAFe
Hamid M.
Last position:
Head of Operations at transact – AI-native company intelligence
Responsible for operations build-up and scaling
Defining the global digital strategy and roadmap
Acting as product owner for the AI applications
Developing and maintaining strategic networks to support customers’ change
Responsible for custom projects and change management
Product owner for an AI native application that shortens research cycles from 2 weeks to 1-2 days
Introduced an AI agent to optimize company and market analysis processes
Established strategic partnerships with major data and technology incumbents
Delivered dedicated customer projects in scope, time and budget
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Kevin G.
Last position:
AI Strategy & Governance / Freelancer at Al Gambit
- Architect AI strategies and smart business processes for companies implementing AI initiatives.
- Focus on pragmatic and trustworthy AI integration delivering tangible operational value.
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Christian H.
Last position:
Senior Project Manager at Geodis
- Led a transformation program in Corporate Finance & Procurement across 25+ countries
- End-to-end implementation of SAP S/4HANA and Coupa for 60 regional companies
- Integration following company acquisitions, including financial reporting, HR systems and governance
- Managed cross-functional teams, change management and stakeholder engagement
- Post-merger integration in close coordination with the works council for the introduction of IT systems and GDPR topics
Discover over 15,000 top freelancers
Statistics of experts using Data Science
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 14 years)
Position duration
1.9 years (Germany: 2.2 years)
Positions per freelancer
11 (Germany: 9)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
88% (Germany: 97%)
Master's degree or higher
76% (Germany: 80%)
Doctorate
20% (Germany: 22%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
96% (Germany: 97%)
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 Frankfurt 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 Frankfurt 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 (50%)
- Professional Services (50%)
- Healthcare (39%)
- Automotive (36%)
- Telecommunication (36%)
- Education (32%)
- Manufacturing (32%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
From data to decisions
Data Science combines statistics, programming and domain knowledge to extract useful signals from structured and unstructured data. Experts use it to explain business performance, predict demand, detect anomalies, personalise experiences and support decisions with evidence rather than assumptions.
Models and deliverables
The work can range from a one-off analysis to a production-grade prediction service. Typical deliverables include:
- Forecasting models for demand, sales or capacity
- Recommendation and ranking systems
- Customer segmentation and churn analysis
- Anomaly, fraud and quality detection
- Dashboards, experiments and decision frameworks
Core ecosystem
Python is common for modelling, with pandas, NumPy, scikit-learn, Jupyter and specialised libraries supporting analysis and experimentation. R remains valuable for statistical work, while SQL, Spark, Databricks, TensorFlow and PyTorch often connect models to large-scale data and production workflows.
When specialists add value
Companies bring in freelance expertise when internal teams face unclear data, a demanding model, or a gap between a prototype and a dependable service. In Frankfurt, projects may involve finance, logistics, manufacturing, healthcare, retail and mobility, often requiring close collaboration with local business teams and remote stakeholders.
Delivery beyond the model
Strong professionals define the business question before choosing an algorithm. They validate data quality, prevent leakage, select meaningful evaluation methods and document assumptions. They also consider reproducibility, privacy, fairness, monitoring and how users will act on the result.
Choosing the right expert
Look for evidence of comparable data problems, not only polished notebooks or model names. Ask how the specialist handled missing data, changing inputs, deployment constraints and stakeholder feedback. A good engagement includes a clear scope, usable handover, maintainable code and a plan for monitoring performance after launch.
Frequently asked questions
Quick answers to the questions that come up most around Data Science.
Companies use Data Science to forecast demand, identify customer patterns, detect unusual activity and improve operational decisions. It can also support recommendations, pricing analysis, quality control and experiments when suitable data is available.
Data Science often extends analytics with statistical modelling, machine learning and predictive systems. Business intelligence usually focuses on reporting what happened, while Data Science may estimate what is likely to happen and recommend an action.
A strong Data Science specialist often works with SQL, Python or R, data visualisation and cloud storage. Depending on the project, useful adjacent skills include machine learning operations, experimentation, data engineering, domain research and clear communication with non-technical teams.
The right level depends on the risk, data condition and production scope rather than on a fixed number of years. A focused exploratory analysis may need a specialist who can work independently, while regulated or customer-facing models require proven validation, documentation and deployment experience.
Data Science is often well suited to remote collaboration because data reviews, notebooks, code and model results can be shared digitally. On-site workshops in Frankfurt can still help when the project depends on sensitive data, operational context or close work with German-speaking stakeholders.
A Data Science specialist should choose the method that fits the decision, data and need for explanation. Traditional statistical models can be preferable for small datasets or transparent relationships, while machine learning may help with complex patterns and high-dimensional inputs.
Ask how the Data Science professional defined the target, separated training from evaluation data and tested performance against a meaningful baseline. Quality also depends on reproducibility, understandable outputs, monitoring and whether the result improves a real business process.
Before starting Data Science work, clarify the business decision, available data, access rules, success criteria and expected handover. It is also important to agree who owns production deployment, model monitoring, documentation and communication with subject-matter experts.
The average hourly rate of freelancers in Frankfurt, Germany who have used Data Science in their recent projects is 107 €, which corresponds to a daily rate of about 859 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Data Science in their recent projects, 88% hold at least a Bachelor's degree, 76% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Data Science in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Frankfurt, Germany who have used Data Science in their recent projects are German (100%), English (96%), and French (25%).
The most common industries among freelancers in Frankfurt, Germany who have used Data Science in their recent projects are Information Technology (89%), Banking and Finance (50%), and Professional Services (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used Data Science in their recent projects are Information Technology (100%), Product Development (82%), and Business Intelligence (79%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Stuttgart 
Dusseldorf 
Nuremberg Countries:
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