Intern M&A Analytics / Data & GenAI (m/w/d)

Do you want to work in the Strategy, Risk & Transactions - Advisory - Mergers & Acquisitions department and support clients throughout the entire M&A deal cycle - from strategy and due diligence to financing and technology issues through to the successful implementation and integration of transactions? Our team supports clients in buying, selling or merging companies - strategically, financially and legally.

Make a difference with us and contribute to our common success as: Intern M&A Analytics - Data & GenAI (m/f/d).

Location: Frankfurt (Main).

As an M&A Analytics Intern (m/f/d), you’ll play a pivotal role in facilitating data driven decisions that power major transactions. Here’s what you’ll do:

• M&A Involvement: Participate in Financial Due Diligences for Private Equity and Corporate acquirers during key transaction processes.
• Vendor Support: Assist your team in business sale processes through Vendor Assistance and Vendor Due Diligence.
• Data Mastery: Develop algorithms and processes to curate, organize, and analyze critical information for decision-making.
• Pipeline Development & Process Analysis: Contribute to the design, construction, and enhancement of data pipelines, while orchestrating workflows and conducting thorough analysis of data processes.
• Insightful Reporting: Prepare interactive reports and chapters for Financial Due Diligence/Financial Factbooks that drive meaningful outcomes.

• Education: Enrolment in the final semester of a Bachelor's or Master's degree in Computer Engineering, Data Science, Business Analytics, or a related field.
• Programming Languages: Advanced knowledge of Python for data manipulation, scripting, and automating tasks.
• Data Processing: Experience in using libraries like pandas, NumPy, or similar tools to work with large datasets.
• Node.js and React.js: For understanding or contributing to front-end analytics interfaces.
• Large Language Models: Proficiency in the use and architecture of large language models such as Claude, GPT, Azure OpenAI, or Azure Machine Learning, is a plus. This includes the ability to work with API integration, Retrieval-Augmented Generation, embeddings, vector databases, and prompt engineering.
• Cloud Service Providers: Previous exposure or experience with cloud platforms (Azure, AWS, GCP) is beneficial.
• Portfolio: A portfolio showcasing past projects or hands-on experience in data analysis, dashboard creation, or algorithm development will be a big plus.
• Languages: Fluency in English and German (written and spoken) is essential for this role.
• Other Qualities: A self-motivated, responsible attitude, problemsolving mindest, coupled with strong organizational and communication skills, and a willingness to travel occasionally.

• Real responsibility for personal task packages within our projects, which you complete independently
• Personal mentor on your team who offers you help and advice and supports you with their extensive expertise
• An international, opportunity-filled environment which offers you unique insights into working at the world’s biggest audit and consulting firm
• Work-life balance in an innovative corporate environment with plenty to offer, including health days, staff events, and lots more
• Cross-departmental networking within the Deloitte Student Network, with exclusive presentations and regular dialog at intern meetups
• Plenty of scope for creativity and active promotion of an inclusive corporate culture – for instance through our diversity and inclusion employee networks

As an intern/student employee, you will ideally be available for a period of (at least) XXX weeks/months as of [MONTH YEAR 2023]/right now.

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