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Nlp jobs in Germany

Data Scientist/NLP (m/f/d)

LexisNexis

Berlin
Hybrid
EUR 65,000 - 85,000
Yesterday
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Data Scientist/NLP (m/f/d)

LexisNexis

Bonn
Hybrid
EUR 65,000 - 85,000
Yesterday
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Senior AI Engineer

IQVIA

Berlin
Hybrid
EUR 80,000 - 110,000
Yesterday
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Data Scientist - Quick Commerce

Delivery Hero SE

Berlin
Hybrid
EUR 65,000 - 85,000
Yesterday
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VP Product & Engineering (m/w/d)

twomynds

Bonn
Hybrid
Confidential
Yesterday
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Senior Data Scientist: Optimization (f/m/d)

Green Fusion GmbH

Berlin
Hybrid
Confidential
Yesterday
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Senior Data Scientist mit einer GÜLTIGEN SÜ2 GEHEIMSCHUTZ Überprüfung (MUSS) (m/w/d)

Westhouse Group

Köln
Hybrid
EUR 65,000 - 85,000
2 days ago
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Senior Data Science Engineer

Trinetix

Berlin
On-site
EUR 65,000 - 90,000
2 days ago
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AI Research Engineer (Prototyping, AI & Research) - Germany

Hornetsecurity

Hannover
Hybrid
EUR 65,000 - 90,000
3 days ago
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Virtuelle Assistenz für Website & Newsletter (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit

Frankfurt
Remote
EUR 40,000 - 60,000
4 days ago
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Machine Learning Engineer II

Everoad by sennder

Berlin
Hybrid
EUR 65,000 - 85,000
7 days ago
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Junior Machine Learning / AI Engineer (m/w/d)

Reply Deutschland SE

München
Hybrid
EUR 50,000 - 70,000
3 days ago
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AI Engineer - NLP, Gen AI (m/w/d)

Bergfreunde GmbH

Kirchentellinsfurt
Hybrid
EUR 65,000 - 85,000
4 days ago
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Senior Associate Data Scientist

UNAVAILABLE

Frankfurt
On-site
EUR 70,000 - 90,000
5 days ago
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Senior AI Engineer

IQVIA

Bochum
Hybrid
EUR 70,000 - 90,000
9 days ago

Wissenschaftliche*r Mitarbeiter*in zur Promotion für den Arbeitsbereich Educational Technologies

Leibniz-Gemeinschaft

Frankfurt
On-site
EUR 45,000 - 55,000
9 days ago

Senior Principal Technology Architect | AI Principal Architect | Frank

Infosys

Frankfurt
On-site
EUR 125,000 - 150,000
Yesterday
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Senior Full Stack Engineer (TypeScript/Python) (m,f,d)

Yoummday

Berlin
Hybrid
Confidential
Yesterday
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Student Research Assistant (fmd) for Medical Data Science

Uniklinik Köln

Köln
On-site
EUR 40,000 - 60,000
Yesterday
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(Junior) Data Scientist (m/w/d)

Reply Deutschland SE

Berlin
Hybrid
EUR 50,000 - 65,000
Yesterday
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IT Job als F1-Optimierer für KI-Systeme (m/w/d)

grinnberg GmbH

Frankfurt
Hybrid
EUR 60,000 - 80,000
Yesterday
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Specialist (gn) AI Insights im Kundenerlebnis

Experis GmbH

Köln
On-site
EUR 60,000 - 80,000
Yesterday
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IT-Salesmanager & CRM Spezialist (m/w/d) – Quereinsteiger willkommen!

F - Education GmbH

Emden
Remote
EUR 20,000 - 40,000
Yesterday
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Machine Learning Engineer (m/w/d)

crossnative GmbH

Germany
Hybrid
EUR 50,000 - 70,000
Yesterday
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Senior Software Engineer (w/m/d) im KI Bereich in der Abteilung Unternehmensanwendungen in Bade[...]

SWR - Südwestrundfunk

Stuttgart
Hybrid
EUR 60,000 - 80,000
Yesterday
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Data Scientist NLP
LexisNexis
Berlin
Hybrid
EUR 65.000 - 85.000
Full time
Yesterday
Be an early applicant

Job summary

A global legal information provider seeks a Data Scientist specializing in Natural Language Processing to design and optimize language technologies that enhance intellectual property data interaction. Candidates should possess a Master’s or PhD in Computer Science and at least 3 years of experience in NLP solutions. The role involves collaboration with a team of experts to apply modern techniques, build knowledge graphs, and prototype innovative approaches in a hybrid work environment.

Benefits

Flexible working hours
Wellbeing initiatives
Shared parental leave
Study assistance
Sabbaticals

Qualifications

  • 3+ years of hands-on experience building NLP solutions in a research or commercial environment.
  • Proven expertise in modern NLP techniques like semantic embeddings and transformer architectures.
  • Strong experience with knowledge graph design and integration with NLP systems.

Responsibilities

  • Apply state-of-the-art techniques in embeddings, transformers, and generative language models.
  • Design and enhance knowledge graph architectures to enable advanced reasoning.
  • Prototype and validate new approaches, transitioning successful methods into production.

Skills

NLP techniques
knowledge graph design
Python
ML frameworks
problem-solving
communication skills

Education

Master’s or PhD in Computer Science

Tools

PyTorch
TensorFlow
Neo4j
RDF
SPARQL
Job description
Position: Data Scientist – Natural Language Processing (NLP)
Location: Bonn (hybrid)
Fulltime
About the Role

LexisNexis Intellectual Property Solutions is seeking a highly skilled NLP Expert with proven expertise in semantic embeddings and knowledge graphs. This is a research-driven, hands‑on role where you will design, build, and optimize language technologies that transform how customers search, analyze, and interact with intellectual property (IP) data.

About the Team

You will join a collaborative team of data scientists, AI engineers, and domain experts to push the boundaries of how semantic representations and graph‑based reasoning can enhance search, discovery, and predictive insights in the IP domain.

At LexisNexis, we value curiosity, innovation, and collaboration. You will be part of a vibrant community of data scientists and AI engineers.

Responsibilities:
  • Apply state‑of‑the‑art techniques in embeddings, transformers, and generative language models to IP data.

  • Design and enhance knowledge graph architectures to capture domain knowledge and enable advanced reasoning.

  • Integrate embeddings and NLP methods with graph‑based systems to power knowledge‑driven insights.

  • Prototype and validate new approaches, transitioning successful methods into production‑grade systems in collaboration with AI engineering teams.

  • Stay current with state‑of‑the‑art NLP and graph research, applying and adapting new methods to real‑world problems in intellectual property.

  • Contribute to the internal knowledge base by publishing technical reports, presenting at internal forums, and, where appropriate, authoring external publications or patents.

  • Work with product managers and business stakeholders to deliver customer‑focused solutions with measurable impact.

Qualifications
  • Master’s or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or related discipline.

  • 3+ years of hands‑on experience building NLP solutions in a research or commercial environment.

  • Proven expertise in modern NLP techniques (e.g., semantic embeddings, transformer architectures, generative models) with experience evaluating, optimizing, and scaling NLP models.

  • Strong experience with knowledge graph design, construction, and integration with NLP systems.

  • Hands‑on skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).

  • Excellent problem‑solving and communication skills, with experience collaborating in cross‑functional, agile teams.

Preferred
  • Familiarity with graph databases (Neo4j, RDF, SPARQL) and distributed knowledge graph systems.

  • Publications, patents, or conference presentations in relevant NLP or ML venues.

Work in a way that works for you

We know that your wellbeing and happiness are key to a long and successful career. We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision‑making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

We know your well‑being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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