DCX Head of Innovation & Applied AI

Marsh & McLennan Companies; Zürich; Vor Ort; CHF 150’000 - 200’000; Vollzeit

Zusammenfassung

A leading company in risk, strategy, and people is seeking a talented individual to join their Data Science team as DCX Head of Innovation & Applied AI. In this hybrid role, you will leverage your expertise to drive data-driven solutions and collaborate with global teams on innovative projects. The ideal candidate will have a strong background in data science, proven leadership abilities, and a commitment to developing high-quality insights for product enhancement.

Leistungen

Professional development opportunities

Inclusive culture

Career advancement opportunities

Qualifikationen

• Proven expertise in Data Science, Data Engineering and or ML.
• Experience with data querying and manipulation.
• Experience working across a global organisation.

Aufgaben

• Develop and execute a data science strategy aligned with product goals.
• Oversee design, development, and deployment of models/algorithms.
• Analyze data to identify trends and patterns related to supply chain risk.

Kenntnisse

Data Science

Data Engineering

Machine Learning

Data querying

Data manipulation

Software Development

Programming (Python)

Ausbildung

PhD in Computer Science

Degree in Computer Science

Tools

Pandas

NumPy

GenAI tools

Jobbeschreibung

Company:Marsh

Description:

We are seeking a talented individual to join our Data Science team at Marsh McLennan. This role will be based in Dublin.

This is a hybrid role that has a requirement of working at least three days a week in the office.

As our DCX Head of Innovation & Applied AI , you will be at the forefront of data science change for Marsh McLennan (MMC) sharing your expertise to help shape how MMC best use analytics and data, maintaining the highest levels of consistency and integrity.

We will look for your ideas on the methodologies, technology & techniques to apply, developing new algorithms too. Leveraging data to drive business insights, develop methodologies and propose innovative solutions.

Collaborating with Global colleagues in development, product engineering & solution delivery, together you will help deliver high-quality products for Sentrisk, an AI-powered global supply chain risk solution, developed by MMC.

We will count on you to:

• Develop and execute a data science strategy aligned with the products goals.
• Oversee the design, development, and deployment of models/algorithms.
• Analyze data to identify trends and patterns related to supply chain risk, natural and geopolitical hazards, providing strategic recommendations for product development and enhancements
• Work closely with business stakeholders, data scientists, and analysts to gather requirements and deliver data-driven insights
• Establish and enforce best practices for data science methodologies, including data collection, preprocessing, model validation, and performance monitoring
• Keep an eye on industry trends and emerging technologies in data science

What you need to have:

• Proven expertise in Data Science, Data Engineering and or ML.
• Ability or experience working autonomously across a global organisation
• Experience of or ability to identify appropriate methodologies, technologies & techniques
• Experience with data querying and manipulation, as well as familiarity with data manipulation libraries (e.g., Pandas, NumPy)

What makes you stand out?

• Proficiency with GenAI tools and approaches
• Software development or programming experience, ideally in Python.
• Computer Science PhD or degree or equivalent working experience.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan(NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law.

We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at [e-mail] to discuss any specific needs.

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Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.