Data Scientist

• Work in the Data & AI Center of Excellence in close collaboration with 45 data scientists and AI engineers
• Design and develop autonomous agent systems for the insurance industry that analyze, plan, and execute complex tasks
• Develop scalable AI products for the German and international markets
• Build multi-agent systems, RAG and LLM pipelines, and computer vision solutions
• Optimize existing products and create new AI-powered solutions
• Research and test the latest AI processes
• Develop foundation models for the insurance industry
• Bring promising AI approaches into production

Senior Data Scientist engineering AI solutions for ControlExpert’s automated automotive claims platform

Senior Data Scientist, AI Engineering, Spanish Language Skills

Senior Data Scientist developing agent systems, RAG, LLM pipelines, and computer vision solutions. Advancing ControlExpert’s AI-powered automotive claims management platform.

• Take end-to-end responsibility for the technical delivery of Data & AI projects—from architecture and implementation through to stable operations
• Ensure quality, on-time delivery, and scalability
• Design and build scalable data pipelines, data warehouses/lakehouses, and cloud platforms
• Deploy models and AI use cases to production and operate them with MLOps, monitoring, and data quality processes
• Develop hands-on with Python, SQL, PySpark, and APIs
• Conduct code reviews and establish best practices and reusable components
• Lead, coach, and develop an interdisciplinary team of Data Scientists and Engineers
• Drive technical standards, automation, and quality assurance
• Make tech stack decisions and develop a technical roadmap
• Collaborate closely with clients and internal teams
• Make technical trade-offs transparent and translate solutions into measurable business value

Data Science Manager bei twomynds, einer End-to-End Data-&-AI-Beratung, für skalierbare ML- und Datenplattformen

Data Science Manager

Data Science Manager bei twomynds, einer End-to-End Data-&-AI-Beratung. Technische Leitung skalierbarer Datenplattformen, produktiver ML-Lösungen und interdisziplinärer Engineering-Teams.

• Lead projects independently and end-to-end, from initial project communication through architecture to final implementation
• Drive data-driven innovation in close collaboration with the CTO and the interdisciplinary team
• Design and implement RAG (Retrieval-Augmented Generation) pipelines
• Integrate GenAI APIs and open-source models into production customer solutions
• Design modern AI agent workflows
• Develop, train, and deploy ML models end-to-end
• Implement computer vision and predictive analytics solutions
• Develop custom specialist software, visualizations, edge-compute platforms, and low-latency data collectors
• Analyze complex acoustic data for anomaly detection and further develop audio-based AI workflows
• Design and build robust data pipelines for cloud, on-premises, and edge applications
• Mathematically model, simulate, and optimize technical systems

Data Scientist / AI Engineer entwickelt Machine-Learning- und GenAI-Lösungen für datengetriebene Kundenprojekte

Data Scientist, AI Engineer – Focus on Machine Learning & GenAI

Data Scientist / AI Engineer entwickelt Machine-Learning-, GenAI- und Data-Engineering-Lösungen für Kunden und eigene Produkte. Mitarbeit an „resonyx“, einer KI-Plattform für akustische Zustandsüberwachung und vorausschauende Wartung.

• Design, develop, and validate advanced machine learning, statistical, and optimization models
• Solve complex business and operational challenges through data-driven solutions
• Partner with product managers, engineers, and business stakeholders to define use cases and success metrics
• Identify and leverage relevant data sources to support analytical initiatives
• Translate business requirements into scalable data science solutions
• Support the productionization, monitoring, and continuous improvement of ML models
• Collaborate with AI/ML engineering teams on data pipelines and deployment processes
• Communicate insights, model performance, and recommendations to technical and non-technical audiences
• Drive experimentation, model evaluation, and performance measurement frameworks
• Ensure high standards of scientific rigor, documentation, and best practices
• Mentor junior data scientists and provide technical guidance across projects
• Influence product and technology decisions through evidence-based recommendations

Senior Data Scientist developing ML solutions for GXO’s global logistics operations

Senior Data Scientist

Senior Data Scientist developing machine-learning and optimization solutions for GXO Logistics. Translating complex supply-chain data into scalable products and actionable operational insights.

• Support the deployment and optimization of the CTSM digital ecosystem, including ICSM and its integration with systems such as S/4HANA, IRT, and vendor platforms
• Collaborate with the CTSM Global Template Process Owner by aligning SAP value streams (e.g., I2R, S2S, MDM) with business needs through cross-functional collaboration
• Identify ICSM/SAP workflow requirements while harmonizing business needs with system capabilities for efficient execution
• Act as the business process owner representative for SAP/ICSM system URS validation processes
• Manage projects related to CTSM master data and integration; resolve issues, implement data governance practices, and optimize processes during transformations

Manager CTSM optimizing BioNTech's Clinical Supply Management SAP module

Manager, CTSM, Supply & Data Integration

Manager CTSM optimizing BioNTech's Clinical Supply Management SAP module within the global Clinical Trial Supply Management division. Collaborating on innovative supply chain solutions enhancing data reliability.

• Verantworten der administrativen Aufgaben der CDE-Prozesse eines Projektes
• Beratung, Unterstützung und Abstimmung mit dem Projektteam zu den erforderlichen Anwendungsfällen
• Konfiguration und Betreuung der jeweiligen CDE für das Projekt auf der Baustelle
• Zentrale Ansprechperson für Teammitglieder und Stakeholder auf Projekt- und Unternehmensebene
• Weiterentwicklung von CDE-Standards und -Workflows
• Organisation und Durchführung von Schulungen für das BIM- und Baustellenmanagement

BIM Common Data Environment Manager managing CDE processes at ZECH Hochbau AG

BIM Common Data Environment Manager

BIM Common Data Environment Manager responsible for CDE processes at ZECH Hochbau AG in Stuttgart. Overseeing software configuration, team coordination, and training initiatives.

• A key success factor for mobilizing growth capital is an Investor Relations team that reaches out to the right investors at the right time — with relevant insights, smooth processes and time for personal exchange.
• The main task of the Junior Manager Data & Operations – Investor Relations is the administration and further development of our Salesforce infrastructure as well as ownership of the digitization of data-driven investor outreach and the implementation of campaigns.
• The role is embedded in the Investor Relations team and does not involve direct personal investor outreach — you create the operational foundation for successful Investor Relations management.
• In day-to-day operations you are responsible for automated investor campaigns as well as research and data analysis for internal and external reporting purposes.
• Ownership of digitizing investor outreach — manual steps are gradually replaced by digital processes and tools (e.g., campaigns).
• Administration and further development of our CRM infrastructure (Salesforce) — from segmentation through tracking to reporting, as well as analysis and integration of additional data points.
• Independent management of CRM development projects in sprints: planning, prioritization, implementation and quality assurance.
• Identification and introduction of AI-supported tools for more efficient processes.
• Preparation, execution and analysis of campaigns to investors about investment opportunities and events.
• Ongoing research of new impact investors to serve as a sales foundation for our IR managers.
• Data analysis of the investor network for internal and external reporting purposes.

Junior Manager Data & Operations managing investor relationships at FASE

Junior Manager, Data & Operations

Junior Manager Data & Operations role managing investor relations and Salesforce infrastructure at FASE. The position entails data analysis and campaign management for effective communications.

• Develop, validate, and deploy statistical and predictive models that directly influence pricing, matching, and growth decisions.
• Develop and improve LLM-powered features, from RAG pipelines to applications of new AI technologies.
• Ensure the reliability of our AI features: design workflows to evaluate performance, measure output quality, and detect regressions.
• Translate open questions into testable hypotheses and design experiments (e.g., A/B tests) that deliver clear, decision-ready answers.
• Analyze funnels and user journeys to identify drop-offs and friction points, and quantify where supply and demand can be better aligned.
• Collaborate with performance marketing to optimize targeting and campaign efficiency using data.
• Define key KPIs, build dashboards, and monitor them to make business impact visible and measurable.
• Document, prioritize, and communicate progress in Jira across product, engineering, and marketing.

Data Scientist leveraging AI for predictive modeling at Pflegia's platform.

Data Scientist – AI, Experimentation

Data Scientist leveraging AI and statistical models to enhance Pflegia's healthcare job-matching platform. Collaborating across teams to drive data-informed decisions and improve user outcomes.

• Machine learning in the credit process: You develop machine learning models that directly support decision-making in the consumer installment loan business.
• You use modern methods from data science, predictive analytics and artificial intelligence (AI).
• AI product features (nice to have): Ideally you help build initial AI features and LLM-based applications that are integrated into our digital installment loan processes.
• Collaboration with data and product teams: You work closely with Data Engineering, Product Management and Data Analytics and use our existing data foundation to develop scalable ML solutions.
• End-to-end responsibility: You take ML models from concept through development, evaluation and deployment to production readiness and continuous optimization.
• Further development of our AI capabilities: You bring in new approaches from machine learning and artificial intelligence and support the advancement of our data-driven products and use cases.

Data Scientist developing ML models for the FinTech industry in Germany.

Senior Data Scientist – AI, ML, FinTech

Data Scientist developing ML models to support decisions in Ratenkredit business. Collaborating with data teams and evolving AI capabilities within a dynamic FinTech environment.

• Shape Redcare’s MDM operating model, connecting different domains through continuous improvement, federated governance, and scalable MDM processes.
• Lead focused MDM initiatives from design to adoption, defining success criteria around data quality, stakeholder engagement, compliance with applicable laws and policies, and architectural fit.
• Lead cross-functional delivery for MDM, from integration initiatives with Data Architecture and Data Engineering teams to alignment with business stakeholders, data owners, and data stewards.
• Design the governed golden record layer, translating business processes into modern data management flows (e.g. matching and merging records, handling exceptions, and defining confidence thresholds) with a strong focus on automation and human-in-the-loop validation.
• Establish recurring data quality management around critical data elements, from profiling, DQ benchmarking, and data cleansing to issue management, remediation workflows, dashboards and KPIs that make progress visible.

Senior Master Data Management Lead shaping data governance and quality for Redcare Pharmacy

Senior Master Data Management Lead

Senior Master Data Management Lead in Data & AI Governance at Redcare Pharmacy. Building scalable data management models and driving data quality initiatives across key domains.

• Bridge the gap between unstructured, real-world data, and frontier AI models
• Serve as the technical link during conversations with global partners to standardise and harmonise data pipelines
• Structure clinical datasets within the STELA program
• Write reproducible code, enforce incoming data QC, and design data dictionaries and ontologies
• Participate directly in technical conversations with external partners (hospitals, research institutions, CROs/CMOs)
• Translate ambiguous source data into harmonized, AI-ready assets
• Map and align diverse clinical data to industry-standard biomedical ontologies
• Design, build, and maintain data dictionaries, schemas, and metadata models
• Establish, automate, and enforce data quality control (QC) frameworks
• Write production-grade Python code to automate data cleaning and harmonization tasks
• Actively audit data to identify missing variables, anomalies, and hidden biases
• Familiarity with cancer progression metrics.

Clinical Data Manager connecting clinical data and AI models at Bioptimus

Senior Clinical Data Manager

Clinical Data Manager connecting clinical data with AI models at Bioptimus. Responsible for harmonizing data pipelines and ensuring data quality across initiatives.

Data Scientist jobs in Germany

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