Audit Data Science

<p><span style="color:#ffffff">.</span></p> <div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Introduction</b></H2> </div><div><p><span style="font-size:10.0pt;line-height:115%;font-family:&#39;Century Gothic&#39;, sans-serif">The candidate will contribute to the development of artificial intelligence and machine learning solutions to support internal audit activities in the banking sector. Specifically:<br>- Collaborate with internal teams to build data-driven models for audit controls<br>- Analyze structured and unstructured datasets<br>- Develop machine learning algorithms to improve decision-making processes<br>- Support automation and digitalization of audit activities<br>- Document and share developed solutions with the team<br>- Participate in innovative projects applying AI to internal control, both traditional and generative AI</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Requirements</b></H2> </div><div><p style="margin:0.0cm 0.0cm 10.0pt;line-height:115%;font-size:11.0pt;font-family:Cambria, serif"><span style="font-size:10.0pt;line-height:115%;font-family:&#39;Century Gothic&#39;, sans-serif">Technical Skills<br>- Python<br>- pandas<br>- numpy<br>- scikit-learn<br>- Data analysis<br>- Statistics<br>- Machine learning<br>- Data visualization<br>- Data handling</span></p> <p style="margin:0.0cm 0.0cm 10.0pt;line-height:115%;font-size:11.0pt;font-family:Cambria, serif"><span style="font-size:10.0pt;line-height:115%;font-family:&#39;Century Gothic&#39;, sans-serif">- Large Language Models pipelines</span></p> <p><span style="font-size:10.0pt;line-height:115%;font-family:&#39;Century Gothic&#39;, sans-serif">- Context Engineering<br><br>Preferred Skills<br>- Knowledge of internal audit processes in the banking sector<br>- Basic data modeling<br>- AI applications in finance<br><br>Specific Knowledge<br>- General concepts of AI and machine learning<br><br>Qualifications<br>- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or related fields</span></p></div></div></div><p> </p> <h2><b>About us</b></h2> <p> </p> <p>We are the leading banking group in Italy and one of the Top Tier in Europe. Join us and be part of our successful story!</p> <p>With over 20 million customers in Italy and abroad, we are a true engine of sustainable growth, with a strong commitment to the environment and a tangible impact on society. People are our driving force. We take care of them and foster an inclusive culture where everyone feels valued and empowered.</p> <p> </p> <p><em>Join an international and innovative Group. </em><em>Don't wait for the future, choose it!</em></p> <p><b><em>#sharingfuture </em></b></p> <p> </p> <p> </p> <p><em><b>We guarantee an inclusive and equal environment. We will consider all applicants regardless of race, religion, sexual orientation, gender identity, marital status, national origin, age, disability, or any other protected category in compliance to D.lgs. 198/2006, 215/03 and 216/03.</b></em></p> <p> </p> <p><em><b>For the evaluation of the application, the data will be processed by Intesa Sanpaolo S.p.A. as Data Controller. We invite you to review the dedicated<a href="https://performancemanager.successfactors.eu/doc/custom/intesasanp/Information_privacy_V3.pdf"> <u>Privacy Information Notic</u></a><u>e</u> for more details.</b></em></p>