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AI & Data Science Intern - Finance Transformation (m/f/x/d, 60-100%) (Zurich, Zurich, CH) @ Swiss Reinsurance Company Ltd.

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<p><span style="font-family:arial, helvetica, sans-serif">Are you excited by the potential of AI to change how Finance works? Do you enjoy questioning existing processes, spotting opportunities and turning ideas into practical solutions?</span></p> <p><span style="font-family:arial, helvetica, sans-serif">We are looking for a curious and motivated early-career Data Scientist to help us identify, prototype and implement AI and automation use cases across P&amp;C Re Finance at Swiss Re.</span></p> <p> </p> <h3><span style="font-family:arial, helvetica, sans-serif"><strong>About the Role</strong></span></h3> <p><span style="font-family:arial, helvetica, sans-serif">This role is designed to bring a fresh perspective into Finance. You will not be focused on day-to-day reporting activities. Instead, you will look at existing processes, deliverables and ways of working with fresh eyes, explore where AI and data science can create value, and help build solutions that make Finance more efficient, insightful and forward-looking.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif"><strong>Key Responsibilities</strong></span></p> <ul type="disc"> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif"><strong>Identify and evaluate opportunities</strong> to simplify, automate or enhance finance processes and reporting deliverables</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif"><strong>Develop and prototype AI and analytics use cases</strong> — taking ideas from concept through to practical implementation</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif"><strong>Apply modern data science techniques</strong>, including Generative AI, NLP, and predictive analytics, to real business challenges</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif"><strong>Leverage internal and external data</strong> to uncover trends, performance drivers and forward-looking insights</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif"><strong>Build analytical datasets, data pipelines and prototypes</strong> that support scalable AI and analytics solutions</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif"><strong>Champion responsible, governed and high-quality</strong> use of data and AI across Finance</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif"><strong>Collaborate closely</strong> with Finance, data and technology colleagues to translate business questions into analytical approaches and clear insights</span></li> </ul> <h3><span style="font-family:arial, helvetica, sans-serif"><strong>About the Team</strong></span></h3> <p><span style="font-family:arial, helvetica, sans-serif">The <strong>P&amp;C Re BU Global Reporting</strong> team sits at the heart of Swiss Re&apos;s Property &amp; Casualty Reinsurance Business Unit, responsible for delivering high-quality financial reporting and performance insights across a global portfolio. The team plays a critical role in enabling informed decision-making by translating complex financial data into clear, actionable intelligence for senior stakeholders. With a growing focus on innovation, the team is actively exploring how AI and advanced analytics can elevate the quality, efficiency and forward-looking nature of its reporting capabilities.</span></p> <h3><span style="font-family:arial, helvetica, sans-serif"><strong>About You</strong></span></h3> <p><span style="font-family:arial, helvetica, sans-serif">You are a curious, structured and proactive individual who is eager to challenge existing ways of working and bring fresh, data-driven thinking into a Finance environment. You thrive in collaborative, cross-functional settings and are confident in turning ambiguous business questions into clear analytical approaches. You bring energy, intellectual curiosity and a genuine passion for AI and data science — and you&apos;re ready to make a tangible contribution from day one.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif"><strong>We are looking for candidates who meet these requirements:</strong></span></p> <ul type="disc"> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Recently completed, or are close to completing, a <strong>Bachelor&apos;s or Master&apos;s degree</strong> in Data Science, Computer Science, Statistics, Mathematics, Engineering, Finance Analytics or a related field</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Have a<strong> strong interest in AI, data science,</strong> business performance and ideally insurance or reinsurance</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Are familiar with <strong>Generative AI,</strong> large language models (LLM), NLP or AI assistant concepts</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Have a <strong>solid foundation in data analytics and programming,</strong> for example Python, SQL or similar tools</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Enjoy translating business questions into analytical approaches &amp; clear insights</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Are<strong> curious, structured and proactive,</strong> with the confidence to challenge existing ways of working constructively</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Curious, structured, and eager to learn in a fast-paced, cross-functional environment</span></li> </ul> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif"><strong>These are additional nice to haves:</strong></span></p> <ul type="disc"> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Experience with <strong>machine learning frameworks</strong> and model development</span></li> <li style="font-family:arial, helvetica, sans-serif"><span style="font-family:arial, helvetica, sans-serif">Exposure to <strong>Power BI, Palantir Foundry, copilots, chatbots or workflow automation</strong> tools</span></li> </ul> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif"><strong>What We Offer</strong></span></p> <p><span style="font-family:arial, helvetica, sans-serif">This is a hands-on opportunity to apply state-of-the-art AI and data science thinking to real business challenges in Finance. You&apos;ll gain exposure to global Finance processes, modern data platforms and advanced analytics tools while contributing to use cases with direct business impact.</span></p> <p><span style="font-family:arial, helvetica, sans-serif">You&apos;ll join a collaborative environment where Finance, data and technology expertise come together, with space to think independently, bring fresh ideas and accelerate your career in AI, analytics and Finance.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif"><strong>The start date is as soon as possible or upon mutual agreement, with an internship duration of 3-5 months</strong>.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif">We look forward to receiving your application!</span></p> <p><span style="font-family:arial, helvetica, sans-serif"><em>Note for <strong>non-EU/EFTA and UK citizens</strong>: Due to immigration regulations, you must provide a certificate from a Swiss university confirming that an internship is integral to your course of study. Please submit this mandatory letter with your application documents.</em></span></p> <p><span style="font-family:arial, helvetica, sans-serif"><em>The base salary range for this position will be shared with you during the interview process.</em></span></p> <p> </p><div class="swissre_jobtemplate"> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:12.0pt"><strong>About Swiss Re</strong></span></p> <p> </p> <div class="swissre_jobtemplate"> <p><span style="font-size:12.0pt;font-family:arial, helvetica, sans-serif">Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.<br><br>Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.<br><br>If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.</span></p> <p> </p> <p><span style="font-size:12.0pt;font-family:arial, helvetica, sans-serif">We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.</span></p> <p> </p> </div> </div> <style type="text/css"> .swissre_footer { position: relative; margin-top: -50px; height: 30px; clear: both; margin-bottom: 20px; background: #EEE none repeat scroll 0% 0%; line-height: 30px; padding: 0px 10px; color: #AAA; font-family: "Arial,Helvetica,sans-serif"; } .swissre_jobtemplate { width: 970px; max-width: 100%; height: auto; } .jobDisplay .job { font-family: "Arial" !important; font-size: 12px !important; } .joqReqDescription { max-width: 100%; height: auto; align: center; } .joqReqDescription ul { width: 787px; max-width: 100%; } .joqReqDescription p { width: 827px; max-width: 100%; } </style> <div class="swissre_jobtemplate"><span style="font-size:12.0pt;font-family:arial, helvetica, sans-serif"><strong>Keywords: </strong> <br><strong>Reference Code: </strong>138473 </span> <p> </p> <p> </p> </div>

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