Data Scientist (f/m/d)
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
The website. Technical blogs, webinars, and product videos.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
As a Forward Deployed Engineer for Key Accounts, you are the technical point of contact for a portfolio of Aircall s strategic customers.
Build and ship models that predict user value, engagement, and reward behaviour.
Berät Kunden zur Sichtbarkeit in ChatGPT, Gemini und Google AI Mode, misst KI-Sichtbarkeit und leitet Maßnahmen ab.
Die KfW nutzt Cloud-Technologien, um Anwendungen mit Künstlicher Intelligenz umzusetzen.
Job Title: System Integrator / Software Engineer – Robotic Hand (m/f/d) Location: Berlin, Germany Why this role matters Having secured disru
Was du bei uns machst Technische Umsetzung beim Kunden: Architektur, Integration und Inbetriebnahme von KI-Lösungen (LLMs, RAG, Agentic AI,
Airteam is a Berlin-based SaaS startup with an AI-powered cloud platform for roofers and solar planners.
Multi-Agent-Architektur & Orchestrierung Konzeption und Umsetzung produktionsreifer Multi Agent Systeme mit klar definierten Strategien für
Das verantwortest du: Das Python-Backend, das unsere medizinische Echtzeit-Dokumentation in Produktion antreibt Live-Transkription echter Ar
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Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intelligence - work on advanced and demanding AI fields such as Reinforcement and Q learning - identify, understand, structure and solve complex problems - work on projects that deliver measurable value to our business - experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we face - communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts
2+ years of experience as a Data Scientist, ideally in a startup or fintech company - experience with Python and with data processing packages (e.g. Pandas, Numpy) - familiarity with web frameworks like Flask or FastAPI - knowledge of relational databases such as MySQL or PostgreSQL - track-record of successful projects using machine learning to solve business problems - experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc. - excellent English speaking and writing skills Things that will make you stand out: - a degree in Data Science, Computer Science, Mathematics or similar - experience with machine learning frameworks (e.g. pytorch, scikit-learn, transformers) - hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation) - experience with Reinforcement Learning - experience with cloud-based infrastructure solutions, such as AWS Transparency, Execution, Ownership, Customer Centricity, Innovation and Integrity are important to us and we at PAIR Finance embody these values. Do you find yourself in these values?
Then become part of our team and complement us with your individual motivation and character! Our offer for you: - For this mid-level role, our salary band is €58,000 - €73,000 gross per year (based on a 40-hour work week). The exact offer will reflect your experience and qualifications - Thriving, financially stable company - Strong experienced international team to support and mentor you along the way, and a smooth onboarding process - International team of 30+ nationalities with professionals and experts - Flat hierarchy, transparent and appreciative feedback culture, monthly all-hands meetings, annual feedback and evaluation cycle, and regular 1-on-1s with your lead - Well-structured onboarding process as well as supportive and welcoming colleagues - Personal learning & development budget as well as German and English language courses - Unlimited employment contract, flexible working hours, and 28 vacation days for your work-life balance - Company pension plan, partly covered Deutschlandticket (public transport) and access to “Corporate Benefits” voucher platform to ensure your full well-being - Fun company summer and Christmas parties as well as regular team events - This role is based in Berlin, and we have a hybrid working policy.
Modern office near Uhlandstraße is complete with fresh fruit, muesli, and drinks for a comfortable and enjoyable workplace Who is your contact person? Your contact person for this position is Geneva Brooks. If you have any questions, please contact us directly by email ().
For more information about PAIR Finance, please take a look at our website and our careers page. We look forward to hearing from you!
Are you ready to change the market? Are you a passionate and experienced Data Scientist, excited to work on improving and maintaining our data architecture? Join us to become a part of our strong international team that is transforming the traditional debt collection industry with innovation and a drive for excellence.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige208 geprüfte Stellen bei 136 Arbeitgebern, 24 davon ortsunabhängig. 84 in der KI-Entwicklung, 64 in Integration & Automatisierung.