Data Science Experts in Berlin
to turn complex data into decisions, matched in minutes with vetted professionalsHire experts who build predictive models, recommendation systems and reliable data pipelines with Python, SQL and cloud platforms. Get precise access to vetted, available freelancers for your Data Science project in Berlin.
Meet FRATCH Experts in Berlin, who have recently used Data Science
Dmitry P.
Last position:
Freelance Digital Marketing Analyst at Freelance
- Marketing Strategy: Lead the end-to-end analysis and evaluation of cross-channel marketing campaigns across the entire Customer Journey. My focus is identifying optimization potential and deriving clear, actionable recommendations that drive measurable business impact.
- Data Science & AI: Advanced predictive modeling (Churn, LTV), market basket analysis, clustering, and real-time AI-powered audience discovery utilizing RAG/LLMs.
- Marketing Analytics & Measurement: End-to-end attribution analysis, Marketing Mix Modeling (MMM), audience segmentation, conversion path analysis, and A/B testing across all major platforms.
- Data Engineering & Reporting: Designing and managing robust, multi-platform data pipelines (BigQuery, GCP) for data consolidation, automated dashboard generation, and critical API integrations.
Bidya B.
Last position:
Product Manager – Payments & Platform at Pipedrive
CRM and revenue platform managing billing and subscription workflows.
- Scaled payments infrastructure across data products, direct debit expansion and automated abuse prevention, generating $416K in annualized operational savings ($8K/week) by eliminating redundant gateway calls.
- Owned backlog and sprint execution for autonomous checkout abuse detection pipelines, designing real-time risk guardrails and velocity heuristics that blocked card testing attacks.
- Architected enterprise billing migrator user stories and data reconciliation mechanisms, achieving zero-downtime subscription state transitions and cutting $60K in infrastructure overhead.
- Expanded European direct debit (SEPA) payment capabilities, managing cross-squad API dependencies and automated webhook error-handling to eliminate checkout friction.
Özlem A.
Last position:
Adjunct Lecturer at Whitecliffe University of Applied Sciences
- Teaching Introduction to Data Science Course in MBA Programme
Nikolai G.
Last position:
Clinical Data Manager at Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
Haseeb Z.
Last position:
Senior Data Scientist at WPP MEDIA
- Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
- Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
- Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
- Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
- Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
- Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
- Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.
Uditha W.
Last position:
Data Science Tutor at University of Europe for Applied Sciences
- Taught Python, Pandas, data analysis, visualization and Power BI to 250+ students.
- Guided practical projects from data preparation and exploratory analysis through visualization and dashboard creation.
- Explained complex analytical concepts clearly to audiences with different levels of technical experience.
Sejal V.
Last position:
Data & ML Engineering at Consulting
- Fractional leadership; consulting growth-stage startups and scale-ups on data strategy, ML products, and platform foundations
- Building decisioning systems for growth, personalization, & product experimentation, across e-Commerce, Digital Health, Energy, and Logistics
- Exploring Agentic AI & LLM-based tooling for production readiness patterns
Mario S.
Last position:
Interim CTO
Through Sourcegarden GmbH, ongoing engagement. Transitioning software development to agentic development in phases, from setup and pilots through transformation and handover.
Wolfram K.
Last position:
AI / Machine Learning Engineer (Projects & Applied AI) at UNIVERSITÉ PARIS 1 PANTHEON-SORBONNE & LIORA
- Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
- Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
- Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
- Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
- Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow
Muzamal A.
Last position:
Data Scientist / AI Consultant at HelmX
- Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, improving operational efficiency.
- Collaborated on product features, achieving measurable impact and maintaining strong client relationships.
Birte L.
Last position:
Product & Agile Consultant at self employed
- Support teams, companies and individuals to become excellent Product Managers
- Build up the right organization to create customer and business value
Raphael M.
Last position:
Founder / Quant Developer at Market Maker
- Crypto quant strategy development, automated trade execution, onchain data client (Ethereum / Solana)
- Data and trade architecture development for liquidity provision
Mathias W.
Last position:
Implementation of an on-premise OCR solution with information extraction at Mindhopper GmbH
- Insurance service provider*
Challenge: Business-critical documents were processed through external OCR providers, with ongoing costs, dependency, and data privacy risks for sensitive insurance data.
Implementation:
- Architecture and production implementation of an on-premise OCR solution with full data ownership
- Methods for recognizing document structures as the basis for automated further processing
- ML-, NLP-, and LLM/VLM-based information extraction, especially from invoices and quotations
Success: Replaced external providers: full data ownership, GDPR-compliant processing, and 75% lower recurring OCR costs per year
Used technologies: Python, Docker, Microservices, FastAPI, PyTorch, Torchvision, MongoDB, MySQL
Nikunjkumar P.
Last position:
Senior Java Backend Developer at Questax Professionals GmbH
- Provide the Price Listing Service team with prices for all cars and vans in different markets
- Adapt market-specific requirements such as taxes, government subsidies, campaigns
- Import and synchronize new prices for all new and existing cars and store them in the Redis datastore
- Support our product and on-call duty
- Daily business, development of new features, bug fixing
- Pair programming, code review, mob programming
- Develop POCs for new ideas
- Maintain and extend the backend
- DevOps tasks
- Run Kubernetes updates
- Adjust and further develop Kubernetes resources
- Develop and adapt Helm charts
- Adapt and update ArgoCD
- Maintain, adapt, and improve CI/CD
Yahya S.
Last position:
Odoo Software Developer & Consultant at KNAUER Wissenschaftliche Geräte GmbH
- Planning and implementing tailored Odoo ERP solutions to support and optimize specific business processes
- Configuring and customizing Odoo modules according to individual customer requirements, including process automation and data integration
- Training and supporting end users and administrators to ensure full use of Odoo features and to enhance user skills
- Providing ongoing post-implementation support, including troubleshooting, maintenance and updates to adapt to new business requirements
- Migrating data and integrating external applications into Odoo environments for a seamless, unified data landscape
- Analyzing and improving existing Odoo systems to boost efficiency and optimize the user experience
Discover over 15,000 top freelancers
Statistics of experts using Data Science
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
2.2 years
Positions per freelancer
8 (Germany: 9)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Education, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
79% (Germany: 80%)
Doctorate
21% (Germany: 22%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
English, German, Spanish
Speak two or more languages
94% (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 Berlin 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 Berlin 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 (83%)
- Education (52%)
- Professional Services (50%)
- Retail (33%)
- Banking and Finance (31%)
- Automotive (30%)
- Healthcare (30%)
- Media and Entertainment (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Science covers
Data Science combines statistics, programming and domain knowledge to extract useful answers from structured and unstructured data. It supports forecasting, classification, experimentation, anomaly detection and decision systems across products, operations, finance, healthcare and research.
Typical deliverables
- Predictive models for demand, risk, churn or conversion
- Recommendation and personalization systems
- Customer segmentation and propensity analysis
- Experiment design, measurement and causal analysis
- Dashboards and decision-ready analytical reports
Strong work connects a business question to a measurable outcome. It also documents assumptions, data limits and how results should guide action.
Tools and ecosystem
Professionals commonly work with Python, SQL, R, pandas, NumPy and scikit-learn. Deep learning projects may use PyTorch or TensorFlow, while notebooks, Git and CI workflows support repeatable analysis. Cloud services, Spark, dbt, Airflow, MLflow and container tooling help teams process data and operate models at scale.
When companies need expertise
Companies often bring in freelance specialists when internal teams face an unclear analytical question, fragmented data or a model that has not reached production. They may need focused support for a new product, a migration, a model review or a temporary capacity gap. In Berlin, remote work is common, while workshops and stakeholder sessions may still benefit from local availability and clear English or German communication.
What quality looks like
A strong professional checks data quality before selecting an algorithm. They establish a useful baseline, prevent leakage, choose metrics that reflect business impact and test performance on realistic future data. They explain uncertainty in plain language and consider fairness, privacy, security, monitoring and maintenance rather than treating a model as a one-time analysis.
Working with freelance specialists
The best brief defines the decision to improve, available data sources, delivery constraints and success criteria. Adjacent expertise may include data engineering, analytics engineering, software development, cloud architecture, product research or domain knowledge. Expect clear notebooks or code, reproducible pipelines, model documentation and a handover that lets the team operate the result after the engagement.
Frequently asked questions
What clients ask us most about Data Science — answered in short.
Data Science helps companies turn data into forecasts, classifications, recommendations and measurable decisions. Typical work includes demand planning, fraud detection, customer segmentation, search ranking, medical analysis and operational optimization.
Data Science is a broad discipline that can include data analysis, statistical modeling, machine learning and communication of findings. Analytics often focuses on describing and diagnosing performance, while machine learning concentrates on systems that learn patterns for prediction or automation.
A capable Data Science specialist should usually be comfortable with Python or R, SQL, statistics, data visualization and experiment design. Depending on the project, useful adjacent skills include data engineering, cloud services, MLOps, NLP, deep learning and domain-specific research.
The right level for Data Science depends on the decision, data quality and delivery stage rather than on a fixed time period. A focused analysis may need one specialist, while a production model requires experience with data pipelines, deployment, monitoring, governance and stakeholder adoption.
Yes. Data Science work is often suitable for remote collaboration because datasets, notebooks, repositories and cloud environments can be shared securely. Berlin-based teams may still prefer on-site workshops for discovery, access to restricted systems or close work with product and domain experts.
Before starting Data Science work, provide the business question, decision owner, relevant data sources, access rules and expected delivery format. It also helps to explain known data gaps, existing models, technical constraints and how the result will be used in daily operations.
Good Data Science work links model or analysis choices to a clear business outcome. Review the baseline, validation method, error analysis, reproducibility, documentation and treatment of uncertainty, then check whether the result can be maintained and understood by the team that will use it.
Data Science is relevant to Berlin companies in software, mobility, commerce, finance, healthcare, media, logistics and research. The methods stay similar, but useful features, regulatory expectations, privacy controls and success measures depend on the industry and the decision being supported.
The average hourly rate of freelancers in Berlin, Germany who have used Data Science in their recent projects is 92 €, which corresponds to a daily rate of about 737 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Data Science in their recent projects, 100% hold at least a Bachelor's degree, 79% hold at least a Master's degree, and 21% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Data Science in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Berlin, Germany who have used Data Science in their recent projects are English (98%), German (95%), and Spanish (14%).
The most common industries among freelancers in Berlin, Germany who have used Data Science in their recent projects are Information Technology (83%), Education (52%), and Professional Services (50%).
The most common business areas among freelancers in Berlin, Germany who have used Data Science in their recent projects are Information Technology (83%), Product Development (80%), and Business Intelligence (72%).
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.
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
