Die KI-Suchmaschine für Jobs
Senior Applied Scientist, Knowledge Graphs and ML(m/w/x)
Beschreibung
In this role, you will drive innovation by designing experiments and exploring cutting-edge techniques in knowledge graphs and machine learning. Your work will directly impact the development of risk and fraud investigation software, ensuring that solutions meet both scientific and business needs.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •PhD in a relevant discipline or Master's plus comparable research experience
- •Hands-on industry experience building NLP, ML, Knowledge Graph, or GenAI systems
- •Experience investigating knowledge graph design and construction
- •Deep knowledge of modern NLP methods and GenAI techniques
- •Experience writing production code and managing software delivery
- •Experience translating complex problems into successful AI applications
- •Outstanding communication, problem-solving, and analysis skills
- •Collaboration with Product, Engineering, and Business Stakeholders in an agile manner
- •Experience working with real-world, messy data in commercial contexts
- •Excellent coding skills in Python, proficiency with Git and cloud technologies
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •Design and execute experiments to answer critical research questions
- •Explore graph ML, RAG architectures, and agentic AI
- •Test new algorithms and techniques for value delivery
- •Manage end-to-end knowledge graph experimentation and development
- •Guide research, data engineering, and evaluation efforts
- •Operate in an agile manner, focusing on quick iterations
- •Account for all research deliverables on small to medium-sized projects
- •Collaborate with stakeholders to define project scope and feasibility
- •Translate business objectives into technical requirements
- •Partner with Engineering for effective software delivery
- •Co-design ML Ops processes
- •Mentor junior scientists on knowledge graph best practices and NLP techniques
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Flexibles Arbeiten
- •Flexible hybrid working environment
Workation & Sabbatical
- •Work from anywhere for up to 8 weeks
Weiterbildungsangebote
- •Continuous learning and skill development
Mehr Urlaubstage
- •Flexible vacation
Mentale Gesundheitsförderung
- •Two company-wide Mental Health Days off
- •Access to the Headspace app
- •Resources for mental, physical, and financial wellbeing
Betriebliche Altersvorsorge
- •Retirement savings
Sonstige Zulagen
- •Tuition reimbursement
Boni & Prämien
- •Employee incentive programs
Gemeinnützige Ausrichtung
- •Two paid volunteer days off annually
- •Opportunities for pro-bono consulting projects
Fokus auf Nachhaltigkeit
- •Environmental, Social, and Governance initiatives
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Senior Applied Scientist, Knowledge Graphs and ML(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this role, you will drive innovation by designing experiments and exploring cutting-edge techniques in knowledge graphs and machine learning. Your work will directly impact the development of risk and fraud investigation software, ensuring that solutions meet both scientific and business needs.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •PhD in a relevant discipline or Master's plus comparable research experience
- •Hands-on industry experience building NLP, ML, Knowledge Graph, or GenAI systems
- •Experience investigating knowledge graph design and construction
- •Deep knowledge of modern NLP methods and GenAI techniques
- •Experience writing production code and managing software delivery
- •Experience translating complex problems into successful AI applications
- •Outstanding communication, problem-solving, and analysis skills
- •Collaboration with Product, Engineering, and Business Stakeholders in an agile manner
- •Experience working with real-world, messy data in commercial contexts
- •Excellent coding skills in Python, proficiency with Git and cloud technologies
Ausbildung
Berufserfahrung
ca. 4 - 6 Jahre
Aufgaben
- •Design and execute experiments to answer critical research questions
- •Explore graph ML, RAG architectures, and agentic AI
- •Test new algorithms and techniques for value delivery
- •Manage end-to-end knowledge graph experimentation and development
- •Guide research, data engineering, and evaluation efforts
- •Operate in an agile manner, focusing on quick iterations
- •Account for all research deliverables on small to medium-sized projects
- •Collaborate with stakeholders to define project scope and feasibility
- •Translate business objectives into technical requirements
- •Partner with Engineering for effective software delivery
- •Co-design ML Ops processes
- •Mentor junior scientists on knowledge graph best practices and NLP techniques
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Flexibles Arbeiten
- •Flexible hybrid working environment
Workation & Sabbatical
- •Work from anywhere for up to 8 weeks
Weiterbildungsangebote
- •Continuous learning and skill development
Mehr Urlaubstage
- •Flexible vacation
Mentale Gesundheitsförderung
- •Two company-wide Mental Health Days off
- •Access to the Headspace app
- •Resources for mental, physical, and financial wellbeing
Betriebliche Altersvorsorge
- •Retirement savings
Sonstige Zulagen
- •Tuition reimbursement
Boni & Prämien
- •Employee incentive programs
Gemeinnützige Ausrichtung
- •Two paid volunteer days off annually
- •Opportunities for pro-bono consulting projects
Fokus auf Nachhaltigkeit
- •Environmental, Social, and Governance initiatives
Über das Unternehmen
Thomson Reuters
Branche
FinancialServices
Beschreibung
The company provides trusted content and technology for professionals in legal, tax, accounting, compliance, government, and media.
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