Data Mining Experts in Munich
matched in minutes from over 15,000 CVs with the power of AIHire experts who uncover patterns in complex data, build predictive models and prepare reliable analytical datasets. FRATCH matches you quickly and precisely with vetted, available freelancers for focused Data Mining work.
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
Alyosh A.
Last position:
Business Intelligence Consultant at Large Private Equity Group
- Business intelligence and KPI specification and playbook for 35 European companies.
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development 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
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
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
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
- Digitalization for both cost savings and growth
- Numerous trainings on innovation development, product development, and presentation techniques
- Speaker on digitalization
- Market analysis for the home audio video market
- Responsible for building a product management department at a pay-TV company
- Partner responsible for the growth strategy in Sales and Marketing Germany during a market transformation at a leading consumer electronics manufacturer, including the launch of a partnership with a telecommunications company
- Overall responsibility for the subprojects “requirements gathering” and “business-side implementation” as part of a project for a “new overall IS infrastructure” (Billing, CRM, etc.) for a mobile telecommunications company. Total project size >300 Mio. €
- Sale of subsidiaries
- Partner responsible for projects in the areas of “churn reduction for private customers”, “sales management for business customers”, “ARPU Up for business customers”, “trade fair preparation”, “messaging strategy”, “optimization of a no-frills brand”, “regionalization”, “CRM”, “segmentation”, “device launch”, “Care 2 Sell”, etc. at telecommunications companies
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
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
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
28 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% (Germany: 19%)
Certifications per freelancer
3
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 Munich 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 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 29 Oct 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 covers
Data Mining turns large, varied datasets into useful findings. Specialists combine statistics, machine learning and database techniques to discover patterns, relationships, anomalies and trends. Their work supports forecasting, segmentation, risk analysis and evidence-based decisions across structured and unstructured data.
Typical project outcomes
- Customer segmentation and churn analysis
- Fraud, anomaly and risk detection
- Demand forecasting and recommendation models
- Text, web and transaction data analysis
- Feature engineering and analytical data preparation
The final deliverable may be an exploratory analysis, a reusable model, a scoring workflow or clear documentation that business teams can act on. Strong projects connect technical findings to a defined operational question.
Methods and tooling
Data Mining work often uses SQL, Python, R and notebooks alongside pandas, scikit-learn, Spark or cloud data services. Professionals select methods such as classification, clustering, regression, association-rule mining and dimensionality reduction according to the data and decision context. They also work with data warehouses, APIs, ETL pipelines and visualization tools.
When companies need specialists
- Internal data is spread across disconnected systems
- Teams need a reliable model from raw event or customer data
- Existing reports show results but not the causes behind them
- A project requires validation, monitoring or better documentation
Freelance expertise is useful when a company needs focused analysis without building a permanent team. In Munich, specialists may support manufacturing, mobility, finance, retail and research projects on-site, remotely or in a hybrid setup. Clear English is common; German can matter for local stakeholders and regulated workflows.
What strong professionals bring
Strong specialists define the target variable, check data quality and test whether a pattern is meaningful rather than accidental. They explain assumptions, leakage risks, bias and uncertainty in terms that decision-makers can use. They also build reproducible workflows, version their work and document how a model or analysis should be maintained.
How to assess the fit
Ask for examples involving data similar to yours, not only impressive model names. Review how the professional handled missing values, imbalanced classes, privacy constraints and changing data. A good fit can describe the business question, proposed evaluation method, expected deliverables and limits before writing production code. Relevant adjacent skills include data engineering, statistics, visualization, MLOps and domain knowledge.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Mining.
Data Mining is used to find useful patterns in large datasets, such as customer groups, unusual transactions, likely demand or factors linked to churn. The results can guide decisions, automate prioritization or provide inputs for predictive systems.
Data Mining is a discovery-oriented approach that combines statistics, database methods and machine learning to identify patterns. Data analysis may focus on explaining known questions, while machine learning often focuses on prediction or automation; in practice, the disciplines overlap.
A strong Data Mining specialist usually understands SQL, Python or R, statistics, data preparation and visualization. Depending on the project, experience with data engineering, cloud warehouses, Spark, MLOps or a specific industry is also valuable.
The right level for Data Mining depends on the data risk, scope and required production support. A focused exploratory analysis may need a specialist who can work independently, while regulated decisions or live scoring systems require proven experience with validation, monitoring and documentation.
Data Mining is often suitable for remote collaboration because datasets, notebooks and documentation can be shared securely. On-site work in Munich can help when the specialist must understand operational processes, meet data owners or coordinate closely with manufacturing, finance or research teams.
Before starting Data Mining, define the business decision, available data sources, access rules and expected output. It also helps to identify a subject-matter contact and clarify whether the result should be an analysis, a validated model, a pipeline or a handover package.
A quality Data Mining deliverable has reproducible steps, documented assumptions and evaluation criteria linked to the business goal. Check whether the specialist tests data leakage, bias, missing values and changing inputs, then explains findings clearly instead of presenting metrics without context.
Yes. Data Mining can reveal relationships, segments and anomalies that standard dashboards do not surface automatically. Dashboards describe reported activity, while mining methods can help explain drivers, detect less visible signals and identify what deserves further investigation.
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 957 € 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 28 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 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
