Operations Research Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Operations Research
Reinhold M.
Last position:
Business Requirements Engineer, Proxy Product Owner, Tester at AXA Konzern AG
Working Environment
- Insurance / Claims Management (Property, Liability, Automotive)
- REST-based ClaimAPI with Guidewire ClaimCenter
Scope
- Further development of the internal REST-based ClaimAPI with Guidewire ClaimCenter as the backend and various portals/front-end offices as clients, and with the following objectives: + increased AI-supported claims processing outside of Guidewire ClaimCenter + and support for all lines (property, liability, automotive).
- Further development of automated claims processing
Activities
- Interfacing IT & Business
- Design activities with documentation in Confluence, Jira: + Requirements engineering (functional and non-functional) + Design of REST endpoints and coordination with interface partners (esp. AI-colleagues) + Identification, design and evaluation of alternative solutions (moving away from a monolithic approach toward fine-grained endpoints, with code reuse across all lines if possible) + Creation / refinement of product backlog items in Jira, i.e. epics, user stories and tasks, incl. alignment with developers & POs during (pre-)refinement sessions + Using AXA Secure GPT when creating / refining user stories (description, acceptance criteria) and designing REST endpoints + Estimation and prioritization of user stories and tasks during Sprint Planning sessions + Coordination and support during the implementation of Product Backlog items + Driving decision making with preparation and presentation of decision-making documents
- Quality assurance: + Test management, including test case creation using Xray in Jira + Test execution using Bruno as REST client and in Guidewire ClaimCenter + Submission of test artifacts for PO approval + Analysis of production bugs
Methods Big Room Planning (aka PI-Planning in SAFe), Scrum, BPMN, EPK, UML, ERM, DDD
Tools / Tech Stack Teams, Confluence, Jira with Xray, OpenAPI/Swagger, REST, JSON, XML, MS Office, Bruno, GitHub repository (reading), Guidewire ClaimCenter, AXA Secure GPT (AXA's in-house GenAI solution based on Azure OpenAI)
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
Optimized the data architecture (Medallion) to better decouple processing steps and improve transparency and reproducibility
Ensured the technical quality of data processing in Databricks by introducing schema enforcement, data quality checks, and a structured data architecture
Pipeline orchestration with Azure Data Factory
Improved and automated the development and deployment process by integrating Git and GitHub Actions
Technical leadership of the Data Engineering team (3 employees)
Led workshops to optimize and stabilize the data platform and development process
Collected and prioritized new requests and maintained the product backlog
Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS Sharepoint, Mural
Gabin Maxime N.
Last position:
Multi-Agent R&D Pipeline (3 Custom Agents) at Independent Project
Claude Code subagents, MCP, Pydantic V2, pytest, bandit
Designed and shipped 3 specialized agents that hand work down a line: a research agent writes a cited implementation spec, a coding agent builds the modular code and its tests, a review agent ranks findings by severity and applies the fixes. Each handoff is a structured document, so no stage depends on another agent's context window.
Connected the research agent to an academic-research MCP server (Semantic Scholar, ArXiv, Hugging Face Hub, citation snowballing) so every reference traces to a tool result rather than the model. Gated commits behind ruff, mypy, pytest and bandit, required human sign-off before installs and commits, and persisted session state on disk so long runs survive a context reset.
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
Pertami K.
Last position:
Data Scientist (Freelance) at Spryfox GmbH
- Implemented data/feature pipelines and automated validation/reporting for multi-million-row insurance datasets.
- Built production-grade image processing to detect fabric defects; delivered maintainable, well-tested Python code and concise reports.
Ivan K.
Last position:
Product Analyst at Sentryc GmbH
- Led data analytics projects, including data mining, exploratory research, A/B testing, KPI definition, and result interpretation
- Had a key role in scope and requirements definition of new features, creation of user flows, proof of concepts creation, and client personas establishment
- Initiated a data project related to clustering counterfeit listings based on language similarities, which was projected to reduce internal costs by 20%
- Led data migration project from Zoho Analytics to Power BI as well as from Google Analytics to Piwik
Maria Daniela L.
Last position:
Research Scientist at Intel Labs
- Designed and implemented AI-driven orchestration models for large-scale distributed systems.
- Developed Python and Go-based optimization pipelines to automate service placement across Kubernetes clusters.
- Worked on scalable data pipelines and production-ready model integration with serverless frameworks (intent-driven K8s operators).
- Contributed to the Horizon Europe VERGE project.
David D.
Last position:
Policy Specialist & Analyst at Tiktok GmbH / Bytedance Ltd.
- Evaluated pain-points of moderation process & strategy
- Conducted lean moderation process and integration of policy issues to improve core metrics KPI, moderation accuracy and consistency
- Collaborated across functions to handle impactful escalations and maintain platform safety
- Conducted agile mechanisms to prevent harmful content such as hate speech, fake news, misinformation on events like German Election (2025), Olympic Games Paris (2024), and harmful AIGC
- Collaborated with product and data science teams to improve the efficiency and accuracy of AI moderation processes
- Applied techniques including RLHF with high-quality data labeling, prompt engineering, model refinement by translating policy wording into decision trees
- Automated processes with Python coding
- Created SOPs and metrics for model iteration and result tracking
Discover over 15,000 top freelancers
Statistics of experts using Operations Research
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.3 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Professional Services
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
88%
Doctorate
50%
Certifications per freelancer
2
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 Germany 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 Germany using Operations Research
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.
Operations Research 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 (100%)
- Education (63%)
- Professional Services (50%)
- Automotive (38%)
- Insurance (38%)
- Transportation (38%)
- Energy (25%)
- Healthcare (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Operations Research solves
Operations Research applies mathematical models, algorithms and data to complex decisions. It helps companies allocate scarce resources, plan production, route vehicles, schedule staff and balance service levels against cost. The work turns business constraints into transparent recommendations that teams can act on.
Core methods and models
Specialists choose methods based on the decision, data and time available. Linear and mixed-integer programming handle allocation and planning; constraint programming suits highly dependent schedules. Simulation, queuing models, stochastic optimization and heuristics help assess uncertainty or find strong solutions when exact optimization is impractical.
Ecosystem and tooling
A typical engagement combines modeling, software and domain knowledge. Experts may work with Python, Julia, R or MATLAB, using tools such as Pyomo, OR-Tools, Gurobi, CPLEX, SCIP or CBC. They connect models to SQL databases, cloud services, APIs, dashboards and existing enterprise systems, with careful attention to data quality and reproducibility.
Where companies use it
Operations Research appears wherever decisions interact and trade-offs matter:
- Supply chain network design, inventory and demand planning
- Vehicle routing, warehouse operations and delivery planning
- Production sequencing, capacity allocation and maintenance
- Workforce rostering, project scheduling and service operations
- Energy dispatch, investment planning and risk analysis
When freelance expertise helps
Companies often bring in a specialist when a planning process is too slow, manual or difficult to explain. External expertise can validate whether optimization is suitable, formulate the objective and constraints, clean input data, select a solver and test the result against real operating conditions. In Germany, remote collaboration is common, while on-site workshops can help when the model depends on plant, logistics or operational knowledge.
What strong specialists deliver
Strong professionals connect mathematical rigor with practical judgment. They clarify assumptions, separate hard constraints from preferences and explain trade-offs to decision-makers. Their deliverables may include a documented model, tested optimization code, scenario analysis, deployment guidance and monitoring rules. They also know when a simple heuristic, simulation or forecast is more useful than a complex model.
Frequently asked questions
What clients ask us most about Operations Research — answered in short.
Operations Research is used to improve decisions involving limited resources, competing goals and operational constraints. Common applications include routing, production planning, workforce scheduling, inventory control, network design and energy planning.
Operations Research focuses on choosing the best feasible action under defined objectives and constraints. Data science often predicts what may happen, while simulation tests how a system behaves under different conditions; strong projects may combine all three approaches.
A capable Operations Research specialist should understand optimization modeling, statistics, databases and software development. Knowledge of Python or Julia, SQL, cloud deployment, APIs, dashboards and the relevant business process can make the resulting model far easier to use.
Operations Research work benefits from experience with the specific decision context, not only with a solver or modeling language. A smaller proof of concept may need a focused specialist, while a production system usually requires expertise in data pipelines, validation, integration and change management.
Operations Research projects can often be delivered remotely because modeling, coding and analysis are digital activities. On-site sessions may still help when experts need to observe warehouse, factory, transport or service processes, and German-language communication can matter when workshops involve local operating teams.
Operations Research specialists commonly use Python with Pyomo or OR-Tools, alongside commercial solvers such as Gurobi or CPLEX. Julia, R, MATLAB, SCIP and CBC also appear, depending on the model, licensing needs, existing systems and deployment environment.
A strong Operations Research solution has clear objectives, explicit constraints and assumptions that business stakeholders can review. The specialist should test edge cases, compare results with current practice, measure operational feasibility and explain whether the solution remains useful when data or conditions change.
Operations Research becomes difficult when business rules are unclear, data is incomplete or several teams define success differently. Good specialists resolve these issues early, choose an appropriate level of model detail and create a path from an analytical prototype to a reliable decision process.
The average hourly rate of freelancers in Germany who have used Operations Research in their recent projects is 76 €, which corresponds to a daily rate of about 612 € based on an 8-hour working day.
Of the freelancers in Germany who have used Operations Research in their recent projects, 100% hold at least a Bachelor's degree, 88% hold at least a Master's degree, and 50% hold a doctorate.
On average, freelancers in Germany who have used Operations Research in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Germany who have used Operations Research in their recent projects are German (100%), English (100%), and French (50%).
The most common industries among freelancers in Germany who have used Operations Research in their recent projects are Information Technology (100%), Education (63%), and Professional Services (50%).
The most common business areas among freelancers in Germany who have used Operations Research in their recent projects are Information Technology (100%), Product Development (88%), and Business Intelligence (75%).
Main locations of FRATCH Experts, who have recently used Operations Research
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 Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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