Wait, What Do You Do?

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. <div> <div> AI and Data Scientist in Embedded Research with Industry AI and SAP E-Mobility (f/m/) </div> <div> <div> ABOUT THE TEAM   The Academic Partnership organization at SAP is regarded being the bridge connecting SAP and academia. We build collaborative, structured partnerships with academic institutions and encompass a wide range of activities and programs in regards of academic teaching, academic community management, and PhD talent management. </div> <div> The PhD Graduate Team stands for embedding cutting-edge research into functional teams across SAP, bringing together interdisciplinary PhD talent in a research-like environment. </div> What you`ll do: </div> <div> The Academic Partnerships organization at SAP partners with other SAP teams to provide the best services to foster strategic research collaborations between SAP and academia. The PhD Graduate Team is responsible for building the bridge between cutting-edge research and SAP functional teams. Our mission is to facilitate the application of research across SAP and contribute to SAP research strategy with interdisciplinary research activities. </div> <div> Working together with the Industry AI E-Mobility team, focusing on trustworthy, data-driven energy forecasting, you will bring the research perspectives and insights from the engineering, mobility, and data science areas to our sustainability and innovation strategy, validating the possible innovation topics and their commercialization potential, and bridging the gap between industry and academia.   </div> <div> The Role: In your daily work you will be evaluating, benchmarking, developing, and improving AI models from research findings to project and product components, collaborating with data and AI scientists, AI engineers, industry experts, researchers, and business stakeholders. You will deliver innovative AI solutions for the E-Mobility field, leveraging advances from AI research, bringing them to the intersection of highly technical solutions and enterprise business context: </div> <div> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Research and identify latest AI and technology innovations in the E-Mobility, Renewable Energy, Sustainability field </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Drive business development activities by identifying growth opportunities and high-potential research topics </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Contribute to data science and AI development in e-mobility solutions, incl. agentic development and insights </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Explore and apply AI technologies within e-mobility to enhance automation and improve decision-making, as well as investigate the integration potential into SAP systems </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Bridge the gap between academic findings and industry: validate the applicability and test cutting-edge research methods in the field for our products. </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Participate in interdisciplinary research activities with the PhD graduate team, supporting SAP’s research strategy </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Be an active part of research mentoring programs and the research community at SAP </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Collaborate with various internal and external stakeholders </li> </ul> </div> </div> <div> <div>   </div> <div> What you bring: </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Advanced university degree (PhD preferred, industrial PhD in the energy and mobility field preferred) in mathematics, computer science, information technology or a similar field </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> At least 3 years of work experience at the intersection between industry and academic research, including analytics, research, and data science roles </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Academic track record (publications preferred) in the field of applied ML/AI, preferably related to uncertainty quantification in complex e-mobility systems </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Experience developing AI models, including predictive modeling, machine learning and statistical modeling in the e-mobility field, experience addressing real-world problems like missing data imputation is a plus </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Data science stack: Python (pandas, scikit-learn, pytorch, tensorflow, langgraph, langchain, pytorch lightning, seaborn, networkx, pyspark, statsmodels), Databricks (or similar), Hyperscalers (Azure, Google Cloud Platform, AWS), data lakes (Azure Data Lake, Hana Data Lake), Docker, Github, AI coding tools (Claude Code, GitHub Copilot, cline) </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Hands-on mindset and outstanding communication skills, especially in international teams </li> </ul> </div> <div> <ul style="list-style-type:disc"> <li style="font-family:arial, helvetica, sans-serif"> Fluency in English and French </li> </ul> </div> </div> Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the <a href="https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en">SAP Employee Referral Program</a>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our <a href="https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US">Guidelines for Ethical Usage of AI in the Recruiting Process</a>. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 457716 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

PhD Data Scientist