Data Mining Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Data Mining
Kiriakos K.
Last position:
Tech Lead / Architect : OTTO API Platform at OTTO
Maturing their API practices on both a business and technology level. My role covers strategy, architecture, developer advocacy as well as hands-on software engineering, enabling both technical teams and business leadership to adopt and act on API-centric principles effectively. Coincidentally, we also establish GitOps, DX and platform best practices with this project.
Highlights:
- Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
- Formulating a way forward for API Lifecycle Management at OTTO
- Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals
API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, React, Node.js, TypeScript, Redocly, reactive programming, CDC, Golang, Gin, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.
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
Manfred B.
Last position:
Interim Manager Managing Director
- Optimization of business results and expansion of sales activities
- Responsible for personnel organization
- Introduction of a document management system (DMS)
- Introduction and optimization of the ERP, CMS and CRM landscape
- Introduction of digital signatures
- Increase in revenue, reduction in costs and increase in EBIT
Benjamin M.
Last position:
Founder, system architect, and main developer at Institute for Artificial Study (IAS)
- Expert-supervised AI systems for scientific reasoning, model evaluation, and research workflows.
- Built the IAS Problem Solver, an orchestrated system for difficult mathematical reasoning; it achieved 84% in one submitted answer set on the Leipzig mathematics benchmark.
- Built a resumable state-machine pipeline for research-grade mathematics benchmark generation: source selection, LLM-agent-based phenomenon discovery, task synthesis, gold-answer and certificate generation and validation, probing, repair, human feedback, and quality gates, targeting tasks that are difficult, natural, verifiable, and cost-effective.
- Current work extends this into budget-aware AI research workflows for real scientific problems with expert review.
Tech stack: Python, OpenAI/OpenRouter-compatible APIs, embeddings, RAG, SQLite.
Ashwin P.
Last position:
Freelance Data Scientist at Mercor Intelligence
- Architected and deployed end-to-end machine learning pipelines across classification and prediction datasets, ensuring robustness and reproducibility through MLOps best practices.
- Contributed directly to LLM model output accuracy improvement by designing and engineering specialised prompts grounded in end-to-end ML and SciML pipeline logic.
- Developed training data for large language models by formulating coding problems that models could not resolve and subsequently documenting the correct solutions.
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
Anshita S.
Last position:
Business Intelligence Developer and Data Analyst at Deloitte Consulting
Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.
- Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
- Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
- Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
- Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
- BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.
Martin E.
Last position:
IREB Requirements Engineer at IREB Germany
- IREB Consultant Requirements Engineer
- IREB Ambassador for the Baltics
Dieter R.
Last position:
Driver analyses at Genactis GmbH
- Calculation of attribute importance based on driver analyses
- Interpretation, reporting, and consulting
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
Michael S.
Last position:
Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI-based and classical models for analyzing medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, and referral profile analyses. Analyses in the area of Real World Evidence.
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of the results using customer dashboards
- Developing and implementing DWH adjustments
- Deriving recommendations for action
Methods, technologies: Simulation, Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, Elasticsearch, PostgreSQL, Databricks, Multivariate Statistics
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
Bernhard S.
Last position:
Agile Business Analyst and Requirements Engineer at Deutsche Post DHL
- Agile project "PEPSi annual vacation planning MVP Lite" (digitalization project).
- Definition of state transitions for the JUP Lite functionality.
- Creation of user stories for login/logout and registration.
- Quality assurance of the business-side concept.
- Preliminary analysis for the transformation from the old PersPlan to DigiPEP.
- Tools used: Signavio, MS Office (Excel, Word, PowerPoint), Jira, Confluence, Mural, Miro, Conceptboard, MS Teams, Mattermost.
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
Alex O.
Last position:
Contractor at Telefonica Germany GmbH & Co. OHG
- Data-analysis, Preparation, gathering and coordination of business requirements for retrieval of monthly- and long term (CLV – relevant) cost- and revenue-components per contract for a customer–base–grouping project (HUB–Project) for B2C-Postpaid-Controlling
- Concept and Implementation of cost- and revenue-KPIs calculation and corresponding CLV–reports (Oracle, Perl, SVN, MS SQL Server, MS Power BI, Serviceware Performance Analytics)
- Operational support of the HUB-Project – various ad-hoc reports, deployments, job-scheduling etc. (Oracle, SVN, BICSuite–Scheduler, DWSODA etc.)
- Analysis, implementation, retrieval and reporting of various physical and financial KPIs for B2P-Prepaid Business on an existing data-mart (Oracle, Perl)
Discover over 15,000 top freelancers
Statistics of experts using Data Mining
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.6 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Automotive
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
95%
Master's degree or higher
77%
Doctorate
18%
Certifications per freelancer
3
Most common languages
English, German, 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 Germany 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.
Discover detailed Data Mining rate benchmarks:
Explore rate insightsAverage rates of experts in Germany 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%)
- Professional Services (55%)
- Automotive (50%)
- Banking and Finance (45%)
- Manufacturing (39%)
- Media and Entertainment (36%)
- Retail (36%)
- Education (34%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Mining delivers
Data Mining turns large, varied datasets into useful findings. Specialists combine statistical analysis, machine learning and database methods to discover patterns, relationships and anomalies that are difficult to see manually. The results can support forecasting, segmentation, risk assessment and better operational decisions.
Typical use cases
Companies use Data Mining to investigate historical and live data across many business areas:
- Customer segmentation and churn analysis
- Fraud, anomaly and risk detection
- Demand forecasting and recommendation logic
- Process analysis and quality monitoring
- Market, sales and product intelligence
The right approach depends on the available data, the business question and how findings will be used in daily operations.
Methods and tooling
A strong Data Mining project may involve SQL, Python or R, along with pandas, scikit-learn, Spark and specialist visualization tools. Professionals work with classification, clustering, regression, association analysis and outlier detection. They also handle feature engineering, model validation, data preparation and reproducible workflows.
When companies need specialists
Freelance expertise is useful when internal teams have data but lack the capacity to turn it into a dependable analytical solution. It can help during a new analytics initiative, a migration from spreadsheets, a model review or the creation of a production-ready pipeline. In Germany, specialists may also support collaboration between local business teams, data functions and distributed delivery groups.
What strong professionals bring
Experienced specialists connect technical findings to a clear business outcome. They check data quality, document assumptions, prevent leakage, select suitable evaluation methods and explain uncertainty without hiding it. They understand that a model is only valuable when it can be maintained, monitored and used by the people responsible for decisions.
Choosing the right expertise
Before engaging a freelancer, define the data sources, target outcome, delivery environment and access constraints. Look for evidence of work with comparable data types, realistic validation and stakeholder communication. Relevant adjacent skills may include data engineering, cloud services, business intelligence, privacy-aware data handling and deployment of analytical models. A practical review of proposed deliverables is often more useful than a tool-only skills list.
Frequently asked questions
Quick answers to the questions that come up most around Data Mining.
Data Mining is used to discover meaningful patterns in large datasets and turn them into decisions or automated actions. Common applications include customer segmentation, fraud detection, demand forecasting, recommendations and operational analysis.
Data Mining looks for hidden relationships, predictive signals and unusual behavior, often using statistical or machine learning methods. Business intelligence usually focuses more on reporting known measures, dashboards and structured historical analysis; the two practices often work together.
A strong Data Mining specialist often works with SQL, Python or R, data modeling and visualization. Depending on the project, experience with data engineering, cloud storage, Spark, machine learning deployment and privacy-aware data handling is also valuable.
The required experience depends on data quality, scale, business risk and whether the result must run in production. A smaller exploratory analysis may need focused analytical expertise, while fraud, forecasting or customer models require robust validation, monitoring and communication with domain teams.
Data Mining is often well suited to remote work because datasets, notebooks and cloud environments can be shared securely. On-site collaboration may still help when access is restricted, business definitions are unclear or workshops with German-speaking stakeholders are central to the project.
Choose Data Mining when the company needs to explain behavior, predict likely outcomes or detect patterns that fixed reports cannot reveal. Simple reporting is usually sufficient when the questions, metrics and data relationships are already well defined.
Ask how the specialist checks source data, defines the target, prevents leakage and validates results against a suitable baseline. High-quality Data Mining work includes clear assumptions, understandable findings, reproducible steps and a plan for monitoring performance after delivery.
Typical Data Mining deliverables include a data assessment, cleaned or transformed datasets, exploratory findings, validated models and documentation. Depending on the brief, the freelancer may also provide dashboards, scoring logic, pipeline specifications and guidance for production handover.
The average hourly rate of freelancers in Germany who have used Data Mining in their recent projects is 102 €, which corresponds to a daily rate of about 820 € based on an 8-hour working day.
Of the freelancers in Germany who have used Data Mining in their recent projects, 95% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Germany who have used Data Mining in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Germany who have used Data Mining in their recent projects are English (100%), German (98%), and French (23%).
The most common industries among freelancers in Germany who have used Data Mining in their recent projects are Information Technology (92%), Professional Services (55%), and Automotive (50%).
The most common business areas among freelancers in Germany who have used Data Mining in their recent projects are Information Technology (91%), Business Intelligence (81%), and Product Development (81%).
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 
Munich 
Frankfurt Request a free demo
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FRATCH CEO
