Data Scientist (m|f|d)

Meag; Deutschland; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Ein führendes Unternehmen im Asset-Management sucht einen Data Scientist (m/w/d) für das Transformationsmanagement im Bereich KI. In dieser Rolle werden Sie für die Entwicklung und das Testen von KI-Agenten verantwortlich sein, dabei verschiedene Datenanalyse- und Modellierungsaufgaben bewältigen sowie eng mit cross-funktionalen Teams arbeiten. Ihre Expertise in Datenwissenschaft und KI wird entscheidend sein für den Erfolg unserer Projekte sowie für die kontinuierliche Verbesserung unserer Lösungen.

Leistungen

30 Tage Urlaub

Betriebliche Altersvorsorge

Intensive persönliche und berufliche Entwicklung

Umfangreiche Gesundheitsdienste

Kostenlose Mahlzeiten in der Kantine

Qualifikationen

• Masterabschluss oder PhD erforderlich.
• Mindestens 3 Jahre Erfahrung in der Datenwissenschaft.
• Beherrschung von NLP und ML-Methoden sowie Programmierkenntnisse.

Aufgaben

• Erstellen und Testen von KI-Agenten für verschiedene Anwendungsfälle.
• Entwickeln von analytischen Modellen und Datenprodukten.
• Zusammenarbeiten mit Stakeholdern zur Definition von Datenanforderungen.

Kenntnisse

Datenanalyse

Machine Learning

Programmierung (Java, C++, Python, Ruby, R)

Natürliche Sprachverarbeitung

Datenvisualisierung

Ausbildung

Masterabschluss oder PhD in Informatik, Mathematik, Physik, Ingenieurwesen

Jobbeschreibung

Data Scientist (m|f|d)

• München

• hybrid/vor Ort
• Vollzeit

As the asset manager of Munich Re and ERGO, MEAG makes a significant contribution to the success of Munich Re Group. Our staff bring together peerless know-how in all the relevant asset classes and are the driving force behind our success as one of the world's top asset managers. We are seeking a talented Data Scientist for our (Gen)AI Transformation Management Department. The successful candidate will be part of the Agent Development team that develops and tests AI agents for a wide range of use cases as well as continuously improving these agents after their initial implementation.

Your main responsibilities:

• Execute prompt engineering and grounding, construction of ML, data mining, and AI models for AI use cases (incl. model selections and fine-tuning as well as design testing and deploying)
• Develop efficient and accurate analytical models that mimic business decisions and incorporate models into analytical data products and tools
• Define data requirements for central IT platform in collaboration with data engineers and software engineers
• Collect, analyze, and interpret large datasets to inform the development of AI-powered agent solutions
• Ensure quality assurance and implement risk controls (maintaining data governance and associated risks)
• Work closely with business stakeholders to understand business needs and requirements, providing data-driven insights and recommendations to inform agent solution development
• Stay up-to-date with emerging trends, technologies, and methodologies in data management, AI, and ML, and apply this knowledge to continuously improve data enabler services and capabilities

Your profile:

• Master's degree (or PhD) (e.g., in computer science, mathematics, physics, engineering, or a related field)
• Several years of experience with working with traditional AI or GenAI solutions
• 3+ years of working experience in data science (or in similar roles)
• Proficiency in defining post-processing guardrails, and building satellite ML models
• Knowledge of natural language processing, hyperparameter/LLM finetuning, and optimally reinforcement learning from human feedback (RLHF)
• Experience with data visualization tools and specialization in NLP and text, image, and video
• Strong programming skills in common programming languages (e.g., Java, C++, Python, Ruby, R)
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Business proficiency in English (C1) and German (C1) are required.

Benefits:

• Flexibility: Mobile work (option to work from home a few days a week), 30 days of vacation
• Asset Accumulation & Retirement Planning: Company pension system & employee savings plan
• Development: Intensive professional & personal development (internal & external offerings), LinkedIn Learning access
• Health: Comprehensive company doctor services, Urban Sports cooperation
• Family: pme family service, childcare allowance, care assistance, cooperation with daycare centers, flexible working hours
• Other: Daily free lunch in our cafeteria, Free hot drinks & water, "Deutschland Ticket Job" subsidy, Events, Underground parking garage with e-charging infrastructure & much more!

*Please note that this list is based on current collective agreements. These may change. The list is for information purposes only. We do not accept any liability for individual points.

MEAG stands not only for a partnership-based relationship with customers, but also for fair treatment of applicants and employees. Regardless of gender. So if we use the masculine form of personal designations, this is purely for the sake of readability. Applicants with disabilities will be given preferential consideration if they are otherwise essentially equally qualified.