Project Manager AI / Data Scientist (m/f/d)*

Munich Re

Oct 30

Applications are closed

Job
Full-time
Senior Level
Data
IT & Cybersecurity
Munich

Requirements

University degree (Master and above) in a quantitative field (Mathematics, Computer Science, Physics, Engineering, Business Analytics) with a solid understanding of probabilities, statistics and machine learning
Outstanding theoretical and practical understanding of modern machine learning and artificial intelligence techniques. Expertise in at least one of the following areas: Natural Language Processing (NLP), Computer Vision, Knowledge Graphs, Recommender Systems, Time Series
Very strong presentation, strategic thinking, consulting and project management skills. Demonstrated interest in taking ownership of technical initiatives from coordination to implementation.
Excellent Python programming skills and fluent with ML frameworks like Pytorch or, Tensorflow. Experience in Java is a plus
Solid knowledge of software development best practices (version control, testing), architecture design, object-oriented programming, data structure and algorithms
Readiness to embrace innovation, forward-looking, Group-wide manner of thinking and action, pronounced service focus, ability to work in a team, and a very high level of commitment
High level of accountability, capability to deal with uncertainty and execute in an ambiguous environment
Experience in the insurance, risk management or financial services industry is a plus
Very good command of English and a willingness to travel

Responsibilities

Actively working on and leading projects that enable business units to generate more and better business (quantitative and qualitative aspects) using NLP, ML and statistics
Developing and implementing machine learning solutions, from prototype to production
Supporting and advising business units in applying the latest (Gen- AI) methods and providing a central source for specialized data analysis and for modelling know-how, tools and methods
Presenting your findings and the systems developed to internal and external stakeholders
Identifying and assessing the potential of statistical, ML and NLP innovations and technologies that could offer potential competitive advantages in the insurance space
Networking with existing quantitative units in the reporting and analysis fields, and with IT to create an AI community

FAQs

What is the main focus of the Data & Analytics division at Munich Re?

The main focus of the Data & Analytics division is to coordinate and drive data, analytics, and AI projects to enable digital transformation and create new business and strategic options for Munich Re and its clients.

What type of projects will I be leading as a Project Manager AI / Data Scientist?

You will be actively working on and leading projects that enable business units to generate more and better business using methods such as NLP, ML, and statistics.

What qualifications are required for this position?

A university degree (Master and above) in a quantitative field such as Mathematics, Computer Science, Physics, Engineering, or Business Analytics, along with a solid understanding of probabilities, statistics, and machine learning is required.

Is experience in the insurance or financial services industry necessary?

While experience in the insurance, risk management, or financial services industry is a plus, it is not explicitly required for this position.

What programming skills are necessary for this role?

Excellent Python programming skills are required, along with fluency in ML frameworks like PyTorch or TensorFlow. Experience in Java is also a plus.

Will there be opportunities for travel in this position?

Yes, there will be a willingness to travel as part of the role.

What are some of the benefits offered to employees at Munich Re?

Benefits include a competitive salary, retirement provision, work-life balance support, health management programs, and hybrid working options.

Is there a focus on diversity and inclusion within Munich Re?

Yes, Munich Re embraces diversity, equity, and inclusion, believing that these factors foster innovation and resilience within the company.

How does Munich Re support continuous learning for its employees?

Munich Re recognizes continuous learning as a key differentiator and actively supports it to build new skills and accelerate growth.

Where can I submit my application for this position?

Applications must be submitted via Munich Re's online applicant portal, where you can upload your CV and optionally write a cover letter.

Munich Re

Pushing the boundaries of insurability to help the world advance with confidence.

Finance

Industry

10,001+

Employees

Mission & Purpose

Munich Re is one of the world’s leading providers of reinsurance, primary insurance and insurance-related risk solutions. The group consists of the reinsurance and ERGO business segments, as well as the capital investment company MEAG. We are globally active and operate in all lines of the insurance business. Since our founding in 1880, we’ve been known for our unrivaled risk-related expertise and sound financial position. We offer customers financial protection when faced with exceptional levels of damage – from the 1906 San Francisco earthquake to the 2017 Atlantic hurricane season. We possess outstanding innovative strength, which enables us to also provide coverage for extraordinary risks such as rocket launches, renewable energies, cyber attacks, or pandemics. We’re also playing a key role in driving forward the digital transformation of the insurance industry, and in doing so have further expanded our ability to assess risks and the range of services that we offer. Our tailor-made solutions and close proximity to our customers make Munich Re one of the world’s most sought-after risk partners for businesses, institutions, and private individuals. Our corporate culture is defined by performance, mutual respect and trust. All this makes us an attractive employer providing global career development opportunities and prospects.