Data Scientist and AI Engineer
Aktualisiert am 14.04.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 19.04.2026
Verfügbar zu: 100%
davon vor Ort: 100%
Cloud Engineering
Machine Learning
AI Advisory
Data Engineering
Data Science
Decision Science
Agent Development
Generative AI

Einsatzorte

Einsatzorte

Düsseldorf (+500km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

7 months
2025-10 - now

Freelance

Data Science & AI Engineering Consultant
Data Science & AI Engineering Consultant
  • Delivered a Generative AI knowledge-retrieval POC for a European bank using OpenAI models, ensuring data governance and business insight.
Remote
1 year 6 months
2024-04 - 2025-09

Intelligent Pricing Platform

Lead Data Scientist
Lead Data Scientist
  • Intelligent Pricing Platform: Led experimentation and causal analysis for dynamic pricing and financial product optimization, supporting executive decision-making across multiple regulated markets.
  • Recommender Systems for Global Markets (EU, China, APAC): Developed scalable custom ML pipelines on Databricks to support customer retention, pricing, and financial decisioning across EU, China and APAC markets, contributing to ?37M annual revenue impact.
  • Product Bundling Models:Oversaw the development of ensemble and associative mining models integrating vehicle and customer data to generate personalized bundles of financial and mobility products, with a projected uplift of ?4M.
Mercedes-Benz Mobility (prev. Financial Services)
Stuttgart (Germany)
2 years 10 months
2021-03 - 2023-12

AI-powered customer segmentation and more

Senior Data Scientist
Senior Data Scientist
  • AI-Powered Customer Segmentation: Designed, built, and deployed segmentation models on Google Cloud Platform using BigQuery, Vertex AI and CloudRun to enhance audience targeting for omnichannel campaigns; improved campaign precision and led to measurable gains in ROI and personalization accuracy.
  • Value-Based Bidding (PoC): Led an external data science consulting team to develop and test an experimental bidding optimization model for paid search; demonstrated a 35% increase in revenue through automated, value-driven ad targeting.
  • Centralized Category Recommender System: Integrated DBT models for transformation and data standardization across regional data warehouses and led communications with Spain, Turkey and the Netherlands product owners, ensuring reproducibility and data quality for production ML pipelines, achieving a mean 20% lift in online conversion rates and standardizing deployment handover for international engineering teams.
MediaMarktSaturn Technology
Ingolstadt (Germany)
3 years 1 month
2018-02 - 2021-02

various

Senior Data Scientist
Senior Data Scientist
  • AI Strategy Projects: Defined strategic roadmaps for AI adoption, collaborating with C-level executives in banking, consumer goods and automotive industries. Translated high-level business goals into scalable AI use cases and advised on talent and platform readiness.
  • Credit Risk Scoring & Decision Intelligence: Designed and optimized credit risk scoring and decision intelligence pipelines for a Tier-1 financial institution, improving pipeline latency and governance through refactored SQL and Azure-based workflows.
  • Digital Product Bundling & Campaign Planning: Used association rule mining and sales pattern analysis to design bundled product offers. Built campaign planning tools and created Power BI dashboards for senior leadership, enhancing planning transparency and campaign effectiveness.
  • Recommendation System Deployment: Co-led design and Azure-based deployment using Azure Data Factory, Azure SQL, and Azure Machine Learning pipelines, orchestrating data ingestion, transformation and model deployment.
Deloitte Technology Consulting
Düsseldorf (Germany)
2 years 6 months
2015-08 - 2018-01

Earlier Experience

HR Forecast - Analyst
HR Forecast - Analyst
  • Optimised financial data migration process through data analytics for a major international telecommunications client in Düsseldorf, ensuring data integrity and regulatory compliance.
  • Developed predictive analytics models for employee turnover, gender diversity, and health metrics topics, utilizing supervised and unsupervised learning techniques in R.
Accenture
Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years 9 months
2022-10 - 2025-06

Study - Mathematics in Data Science

Master of Science, Technical University of Munich (Germany)
Master of Science
Technical University of Munich (Germany)
Thesis: on request
2 years 11 months
2011-08 - 2014-06

Study - Mathematics

Bachelor of Science, Constructor University (previously Jacobs University) Bremen (Germany)
Bachelor of Science
Constructor University (previously Jacobs University) Bremen (Germany)
Thesis: on request

Kompetenzen

Kompetenzen

Top-Skills

Cloud Engineering Machine Learning AI Advisory Data Engineering Data Science Decision Science Agent Development Generative AI

Produkte / Standards / Erfahrungen / Methoden

Profile
Certified Professional Machine Learning Engineer and AI Engineer with 10+ years of experience delivering end-to-end AI solutions in strictly regulated, enterprise environments. Proven expertise in building modern data pipelines (incl. GenAI) on cloud-based data intelligence platforms. Skilled in translating complex data problems into scalable, high-impact systems that support business-critical decisions.

Technical Skills
  • Cloud and Data Intelligence Platforms: 
    • Extensive experience with Microsoft Azure, Databricks, and Google Cloud Suite (incl. BigQuery);
  • AI Frameworks: 
    • Proficient with Scikit-learn, PyTorch, and TensorFlow; fine-tuned transformer models (BERT, GPT, PEFT/LoRA) via Hugging Face for NLP.
  • DevOps & MLOps: 
    • Azure DevOps, Docker, and GitHub Actions; hands-on with Kubernetes and Kubeflow for CI/CD and scalable model orchestration.
  • Data Engineering: 
    • ?Working knowledge of DBT for modular SQL transformations and data lineage in cloud environments; Design and implementation of data models and analytics layers for BI.

Einsatzorte

Einsatzorte

Düsseldorf (+500km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

7 months
2025-10 - now

Freelance

Data Science & AI Engineering Consultant
Data Science & AI Engineering Consultant
  • Delivered a Generative AI knowledge-retrieval POC for a European bank using OpenAI models, ensuring data governance and business insight.
Remote
1 year 6 months
2024-04 - 2025-09

Intelligent Pricing Platform

Lead Data Scientist
Lead Data Scientist
  • Intelligent Pricing Platform: Led experimentation and causal analysis for dynamic pricing and financial product optimization, supporting executive decision-making across multiple regulated markets.
  • Recommender Systems for Global Markets (EU, China, APAC): Developed scalable custom ML pipelines on Databricks to support customer retention, pricing, and financial decisioning across EU, China and APAC markets, contributing to ?37M annual revenue impact.
  • Product Bundling Models:Oversaw the development of ensemble and associative mining models integrating vehicle and customer data to generate personalized bundles of financial and mobility products, with a projected uplift of ?4M.
Mercedes-Benz Mobility (prev. Financial Services)
Stuttgart (Germany)
2 years 10 months
2021-03 - 2023-12

AI-powered customer segmentation and more

Senior Data Scientist
Senior Data Scientist
  • AI-Powered Customer Segmentation: Designed, built, and deployed segmentation models on Google Cloud Platform using BigQuery, Vertex AI and CloudRun to enhance audience targeting for omnichannel campaigns; improved campaign precision and led to measurable gains in ROI and personalization accuracy.
  • Value-Based Bidding (PoC): Led an external data science consulting team to develop and test an experimental bidding optimization model for paid search; demonstrated a 35% increase in revenue through automated, value-driven ad targeting.
  • Centralized Category Recommender System: Integrated DBT models for transformation and data standardization across regional data warehouses and led communications with Spain, Turkey and the Netherlands product owners, ensuring reproducibility and data quality for production ML pipelines, achieving a mean 20% lift in online conversion rates and standardizing deployment handover for international engineering teams.
MediaMarktSaturn Technology
Ingolstadt (Germany)
3 years 1 month
2018-02 - 2021-02

various

Senior Data Scientist
Senior Data Scientist
  • AI Strategy Projects: Defined strategic roadmaps for AI adoption, collaborating with C-level executives in banking, consumer goods and automotive industries. Translated high-level business goals into scalable AI use cases and advised on talent and platform readiness.
  • Credit Risk Scoring & Decision Intelligence: Designed and optimized credit risk scoring and decision intelligence pipelines for a Tier-1 financial institution, improving pipeline latency and governance through refactored SQL and Azure-based workflows.
  • Digital Product Bundling & Campaign Planning: Used association rule mining and sales pattern analysis to design bundled product offers. Built campaign planning tools and created Power BI dashboards for senior leadership, enhancing planning transparency and campaign effectiveness.
  • Recommendation System Deployment: Co-led design and Azure-based deployment using Azure Data Factory, Azure SQL, and Azure Machine Learning pipelines, orchestrating data ingestion, transformation and model deployment.
Deloitte Technology Consulting
Düsseldorf (Germany)
2 years 6 months
2015-08 - 2018-01

Earlier Experience

HR Forecast - Analyst
HR Forecast - Analyst
  • Optimised financial data migration process through data analytics for a major international telecommunications client in Düsseldorf, ensuring data integrity and regulatory compliance.
  • Developed predictive analytics models for employee turnover, gender diversity, and health metrics topics, utilizing supervised and unsupervised learning techniques in R.
Accenture
Germany

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years 9 months
2022-10 - 2025-06

Study - Mathematics in Data Science

Master of Science, Technical University of Munich (Germany)
Master of Science
Technical University of Munich (Germany)
Thesis: on request
2 years 11 months
2011-08 - 2014-06

Study - Mathematics

Bachelor of Science, Constructor University (previously Jacobs University) Bremen (Germany)
Bachelor of Science
Constructor University (previously Jacobs University) Bremen (Germany)
Thesis: on request

Kompetenzen

Kompetenzen

Top-Skills

Cloud Engineering Machine Learning AI Advisory Data Engineering Data Science Decision Science Agent Development Generative AI

Produkte / Standards / Erfahrungen / Methoden

Profile
Certified Professional Machine Learning Engineer and AI Engineer with 10+ years of experience delivering end-to-end AI solutions in strictly regulated, enterprise environments. Proven expertise in building modern data pipelines (incl. GenAI) on cloud-based data intelligence platforms. Skilled in translating complex data problems into scalable, high-impact systems that support business-critical decisions.

Technical Skills
  • Cloud and Data Intelligence Platforms: 
    • Extensive experience with Microsoft Azure, Databricks, and Google Cloud Suite (incl. BigQuery);
  • AI Frameworks: 
    • Proficient with Scikit-learn, PyTorch, and TensorFlow; fine-tuned transformer models (BERT, GPT, PEFT/LoRA) via Hugging Face for NLP.
  • DevOps & MLOps: 
    • Azure DevOps, Docker, and GitHub Actions; hands-on with Kubernetes and Kubeflow for CI/CD and scalable model orchestration.
  • Data Engineering: 
    • ?Working knowledge of DBT for modular SQL transformations and data lineage in cloud environments; Design and implementation of data models and analytics layers for BI.

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