Data Scientist/ Engineer Intern (End of Studies)

<div class="content-intro"><p>Shift is the leading AI platform for insurance.&nbsp; Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact.&nbsp; Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.</p> <p>Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.</p></div><p>The Data Science team works on a broad range of subjects. &nbsp;We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation. &nbsp;We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.&nbsp;</p> <p><strong>Please note that to be eligible for this job YOU should be currently enrolled to a São Paulo (Capital) University AND be on the last year of your studies with 8-12 months left before your graduation date.</strong></p> <p><strong>What you’ll do…</strong></p> <p>As a member of the data science team, and working alongside our technical experts, you will be able to:</p> <ul> <li>Understand insurance data and fraud mechanisms;</li> <li>Create the associated mathematical models;</li> <li>Implement, test and optimize the associated algorithms;</li> <li>Participate in workshops with the clients to gather feedback and integrate it into the models;</li> <li>Continuously provide ideas to improve the solution.</li> </ul> <p><strong>What You Bring...</strong></p> <ul> <li>You are native in Portuguese and fluent in English (mandatory)</li> <li>You have advanced technical skills in Applied Mathematics, preferably in machine learning and/or operations research;</li> <li>You combine strong analysis with synthesis abilities and are not afraid to deal with the details;</li> <li>You can write quality production code;</li> <li>You are keen to face our clients to discuss their needs and integrate their feedback into your projects;</li> <li>You can communicate clearly in English and are fluent in another language.</li> </ul> <p><span style="color: rgb(255, 255, 255);">#LI-MG1</span>&nbsp;</p> <p>&nbsp;</p><div class="content-conclusion"><p><span style="color: #000000;"><strong>To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:</strong></span></p> <ul> <li><span style="color: #000000;">Flexible remote and hybrid working options</span></li> <li><span style="color: #000000;">Competitive Salary and a variable component tied to personal and company performance</span></li> <li><span style="color: #000000;">Company equity</span></li> <li><span style="color: #000000;">Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth</span></li> <li><span style="color: #000000;">Generous PTO and paid holidays</span></li> <li><span style="color: #000000;">Mental health benefits&nbsp;</span></li> <li><span style="color: #000000;">2 MAD Days per year (Make A Difference Days for paid volunteering)</span></li> </ul> <p><span style="color: #000000;">Additional benefits may be offered by country - ask your recruiter for more information. Intern and Apprentice position are eligible for some of these benefits - ask your recruiter for more details.</span></p> <p><span style="color: #000000;"><em>At Shift we strive to be a diverse and inclusive workforce. <em data-stringify-type="italic">We welcome applications from and hire people who will contribute to the diversity of our company,&nbsp;</em>without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.</em></span></p> <p><span style="color: #000000;"><em>Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email accommodation@shift-technology.com and we will work with you to meet your accessibility needs.</em></span></p> <p><span style="color: #000000;"><em>Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.</em></span></p> <p><span style="color: rgb(0, 0, 0); font-size: 8pt;"><em>Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology. </em></span></p></div>