Data Mining Experts in Munich
to uncover valuable patterns with vetted, available freelancersHire experts who turn complex datasets into useful insights, customer segments and predictive models across Python, SQL and machine learning workflows. FRATCH matches you quickly and precisely with vetted, available freelancers for your data mining project.
Meet FRATCH Experts in Munich, who have recently used Data Mining
Philipp G.
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Christiane N.
Last position:
Management Consultant at Christiane Neher Management Consulting
Large Insurance Company – Consultant Wiesbaden: Consulting support for the introduction of an integrated planning and performance management framework (operational, financial, customer) to enhance customer-centric transparency, decision-making quality, and steering capabilities across all lines of business within an insurance organization:
- Analysis of existing processes, reports, KPIs, and KPI calculation methodologies
- Design and introduction of new, standardized customer KPIs (gross/net), as well as key steering metrics with consistent linkage across all lines of business
- Recalculation, validation, and plausibility checks of KPIs based on existing and newly integrated data sources
- Conceptual support for the development of an integrated reporting and performance management setup
- Execution of customer insights analyses to identify patterns and anomalies within customer data clusters
Large retail company – Consultant in Karlsruhe: Advisory services for the setup and step-by-step implementation of an internationally deployable RELEX solution in the supply chain management environment:
- Advising overall and sub-project management on methodology, project setup and steering (e.g. agile approach, Jira configuration, RELEX phases, Jira Structure PPM)
- Strategic-operational consulting for the introduction of RELEX including best practices
- Support in defining overarching goals and requirements (2-year target picture)
- Guidance in scoping a relevant supply chain network segment for the project
- Development of a roadmap for iterative, incremental RELEX setup and rollout
- Assessment of project dependencies (interfaces, configurations, etc.)
- Advice on prioritized implementation of business requirements and data interfaces
- Support in test planning (data validation, system testing, UAT)
- Consulting on internationalization, change management, training, and knowledge transfer
- Stakeholder advisory and alignment activities between the client, implementation partner, and RELEX
Insurance company – Management Consultant in Munich: Analysis, consulting and support for the optimization of a large-scale business and IT transformation. Focus on strategically important programs and modernization projects in the area of Managed Services Operations and processes:
- Review of project plans and deliverables; analysis of programs and projects (e.g. cloud approach, process standardization, system integration, roadmaps)
- Identification of technical, functional and personnel risks and challenges; development of content-related measures and alternative solutions
- Proposal of quality improvements for program and modernization efforts
- Sparring partner and professional, technical, structural and organizational consulting for project and program management
Large retail group – Management Consultant & Stream Lead in Cologne: Consulting, process, project and product management for the introduction and implementation of a large strategic program in the field of advanced analytics, assortment and space management:
- Setup, test and rollout of a new space planning, automation and optimization product based on the existing cluster-based merchandising approach
- Definition and setup of new processes and transformation and change management measures for the new store-specific merchandising approach
- Collaboration with Advanced Analytics and IT (internal and external) for software implementations, automations, extensions and interfaces
- MVP approach and piloting in phases with gradual rollout (pilot with 80 stores, region with 500 stores, national level with 4000 stores)
Large retail company – Agile Coach & Change Agent in Cologne: Agile coach, OKR master and facilitator for the introduction of the OKR approach in a large strategic digitization program for retail stores:
- Coaching of the core team with topic managers and team leads
- Introduction to the OKR topic and setup of the OKR cycle
- Establishment of the OKR approach in teams and on a cross-team level
Delivery and logistics company – Management Consultant in United Kingdom: Consulting and coaching in the restructuring of the Data Analytics department:
- Analysis of current challenges
- Definition of overarching goals
- Development of a proposal for a new team structure
- Identification of required competencies, skills and responsibilities
- Advisory and alignment on communication and change management strategy
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Frank T.
Last position:
Engineering & Industry 4.0 / IoT Project Manager at Contech Software & Engineering GmbH
Engineering & Industry 4.0 / IoT projects with an AI system based on the Robust Design method for products & processes
Development, implementation & introduction of the AI system Analyser® for Robust Design for products & processes
AI and Industry 4.0 standard product for preventive and reactive quality and safeguarding as well as maintenance (Predictive Quality and Predictive Maintenance) based on Big & Smart Data
Axel K.
Last position:
Data Engineer & Business Analyst at Metafinanz
- Migration of existing data jobs from Cognos Data Manager to Tibco/IBI Datamigrator
- Migration data jobs parametrisation for dynamic runs
- Optimisation and cutting-back
- Regression tests
- Knowledge transfer and documentation
Alyosh A.
Last position:
Business Intelligence Consultant at Large Private Equity Group
- Business intelligence and KPI specification and playbook for 35 European companies.
Sascha J.
Last position:
Agile Coach & Partner at Agisolve GmbH – Pragmatic Agility® | Edler & Stiegler GmbH | CTN Consulting
- Create a product and service portfolio delivering a 360 degree approach to digital corporate sustainability covering KPI management, CSRD reporting and sustainable strategy
- Create vision and business case
- Onboard and align business partners, negotiate contracts
- Set up partner network as self-organized agile team
- Co-develop product and service portfolio
- Coordinate sales and marketing, go-to-market strategy and roadmap
Marco B.
Last position:
Business Analyst | IT Project Manager at Mercedes-Benz Group AG
- Coordination of implementing IT projects, subprojects, and enhancements within DevOps
- Management of IT service providers and responsibility for the quality of IT systems while meeting strategic guidelines
- Assisting in the creation of security-relevant IT documents, including security profiles, Data@Cloud, SCA, and penetration tests
- Full project management responsibility: monitoring and ensuring adherence to resources (scope, schedule, cost, and quality)
- Defining requirement profiles for external service providers and reviewing and evaluating proposals
- Supporting the setup and management of Windows and Linux servers in collaboration with Infosys, including configuring and enabling network ports
Armin I.
Last position:
Founder & Managing Partner at Iskander Business Partner GmbH
- Built a digital unit for a large corporation with 220,000 employees
- Interim manager for various CRM and customer service functions with up to 2,000 employees
- Digitization for cost savings as well as growth
- Numerous trainings on innovation development, product development, presentation techniques
- Speaker on the topic of digitalization
- Market analysis for the home audio-video market
- Responsible for setting up a product management department at a pay-TV company
- Project lead partner for the growth strategy in sales and marketing in Germany during a market structure shift at a leading consumer electronics manufacturer, including launching a partnership with a telecommunications company
- Overall responsibility for the subprojects 'requirements gathering' and 'functional implementation' as part of a 'new IS overall infrastructure' project (billing, CRM, etc.) for a mobile operator. Total project size > €300 million
- Sale of subsidiaries
- Project lead partner for projects in areas such as 'reducing churn in retail customers', 'sales control for business customers', 'ARPU increase for business customers', 'trade show preparation', 'messaging strategy', 'optimizing a no-frills brand', 'regionalization', 'CRM', 'segmentation', 'device launches', 'care 2 sell', etc. at telecommunications companies
Nils B.
Last position:
Entrepreneur at Startups
- yourmegastore.com: Online Shopping
- cvex.de: Online CV Management system
- vianne-chocolate.de: Chocolate Franchise
- bikeguide24.com: Outdoor Routing for Bikes
Rafael A.
Last position:
Head of Quality at Helsing AI
- Lead new manufacture companies (Resilience Factories) worldwide based in NATO requirements Aerospace/Part21G/Part21J
- Implement quality methodologies and tools (RCCA, NCRs, MRB, special processes qualification)
- Implement and obtain EN9100 certification as Head of Quality
- Point of contact to defense customers (MoDs) regarding quality and AQAP
- Develop quality process for qualification and certification
- Plan and execute lean manufacture to improve quality and reduce costs
- Construct quality, manufacture and supply chain organization
Michael P.
Last position:
Setup Azure cloud, Java development, CI/CD pipelines at Sulzer GmbH
- Migration of a mainframe application (PL/1, zOS) to the cloud (Azure)
- Data transfer from z/OS (USS) to Azure storage (blob containers, file shares)
- Implementation of the mainframe job control in Java
- Mapping of job network dependencies in Control-M
- Performance analysis and optimization measures
- DB2 (z/OS) migration to Postgres (Azure)
- Technologies: Azure (storage, VM, VMSS, Postgres), z/OS (USS), DB2, Postgres, Packer, Terraform, Docker, Jenkins, GitHub Actions, Control-M
- Tools: Eclipse, Visual Studio Code, IntelliJ
Discover over 15,000 top freelancers
Statistics of experts using Data Mining
Aggregated from the professional profiles of matched freelancers.
Experience
27 years (Germany: 22 years)
Position duration
3.3 years (Germany: 2.6 years)
Positions per freelancer
13 (Germany: 14)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
91% (Germany: 77%)
Doctorate
18%
Certifications per freelancer
3
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 Munich 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 Munich using Data Mining
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 Mining 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 (92%)
- Banking and Finance (83%)
- Automotive (75%)
- Professional Services (75%)
- Media and Entertainment (67%)
- Manufacturing (58%)
- Insurance (42%)
- Transportation (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Mining Does
Data mining discovers meaningful patterns, relationships and anomalies in large or complex datasets. It combines statistics, machine learning and database techniques to support decisions, automate classification and reveal behavior that is difficult to see through manual analysis. The field is also known as Knowledge Discovery in Databases, or KDD, when it includes the full process from raw data to usable findings.
Typical Applications
Data mining supports products and operations across many industries, from manufacturing and mobility to finance, retail and healthcare. Companies use it to improve forecasting, identify unusual activity and understand how customers or machines behave.
- Customer segmentation and churn analysis
- Fraud, anomaly and risk detection
- Demand forecasting and recommendation systems
- Predictive maintenance from sensor data
Methods and Tooling
Strong work may combine SQL and relational databases with Python, pandas, scikit-learn or Spark. Specialists select suitable methods such as clustering, classification, association rules, regression and anomaly detection, then manage feature engineering, sampling and model validation. They may also work with cloud data warehouses, notebooks, orchestration tools and visualization systems.
When Companies Need Support
Freelance expertise is useful when internal teams have valuable data but lack the time or specialist knowledge to turn it into a reliable result. It can support a new use case, a data quality review, a migration to distributed processing or an independent assessment of an existing model.
- Data sources are fragmented or poorly documented
- Reports describe the past but do not support prediction
- A proof of concept needs a clear path to production
- Model outputs are difficult to explain or trust
What Good Delivery Includes
A capable professional clarifies the business question before choosing an algorithm. They check data quality, leakage, bias, missing values and changing distributions instead of treating a high score as proof of value. Clear assumptions, reproducible workflows and documented findings make the result useful beyond a single notebook.
For teams in Munich, collaboration can be fully remote or combined with on-site workshops. The right setup depends on data access, security requirements and how closely the specialist must work with local product or operations teams.
From Findings to Operations
The final deliverable may be a cleaned dataset, feature pipeline, segmentation, scoring service, dashboard or documented recommendation. Reliable handover includes tests, monitoring expectations and guidance for users who will act on the findings. Data mining becomes valuable when insights connect to a repeatable business process rather than remaining an isolated analysis.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Mining.
Data Mining is used to find patterns, relationships and unusual behavior in large datasets. Companies apply it to customer segmentation, fraud detection, forecasting, recommendations, predictive maintenance and operational decision-making.
Data Mining focuses on discovering useful patterns through statistical and machine learning methods. Business intelligence often summarizes known metrics, while predictive analytics applies models to estimate future outcomes; the disciplines frequently overlap in a single project.
A strong Data Mining specialist usually works confidently with SQL, Python, data preparation and statistical reasoning. Experience with cloud warehouses, Spark, machine learning operations, visualization and communicating findings can also be important, depending on the deliverable.
The right level depends on data quality, business risk and whether the result must run in production. For a focused exploratory task, a specialist with the relevant methods may be enough; regulated, high-volume or operational work calls for deeper experience with validation, monitoring and governance.
Data Mining is often suitable for remote collaboration when secure access to data and documentation is available. On-site workshops in Munich can help with stakeholder interviews, domain understanding and handover, while clear English or German communication should match the project team.
Choose Data Mining when the company needs to discover hidden segments, detect anomalies or predict an outcome rather than only describe past performance. A dashboard may be the better choice when the questions and metrics are already well defined.
Good Data Mining work connects the method to a measurable business question and explains how the data was selected, cleaned and validated. Look for reproducible processes, tests against leakage and bias, interpretable findings and a practical plan for using the result.
Before starting Data Mining, clarify the decision the findings must support, available data sources, access rules, success criteria and the expected handover. It is also important to agree whether the outcome is exploration, a validated model, a production pipeline or a documented recommendation.
The average hourly rate of freelancers in Munich, Germany who have used Data Mining in their recent projects is 120 €, which corresponds to a daily rate of about 959 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Data Mining in their recent projects, 100% hold at least a Bachelor's degree, 91% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Munich, Germany who have used Data Mining in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Munich, Germany who have used Data Mining in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Munich, Germany who have used Data Mining in their recent projects are Information Technology (92%), Banking and Finance (83%), and Automotive (75%).
The most common business areas among freelancers in Munich, Germany who have used Data Mining in their recent projects are Business Intelligence (100%), Information Technology (92%), and Product Development (92%).
Main locations of FRATCH Experts, who have recently used Data Mining
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 
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Philipp Thomaschewski
FRATCH CEO
