SAP Internship: Data Science / ML aficionado (Time Series) - M/F Job in Paris, France

Requisition ID: 189679

Work Area: Customer Service and Support

Expected Travel: 0 - 10%

Career Status: Student

Employment Type: Limited Full Time


SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.

SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.

About the organisation Enterprise Analytics at SAP

The team at Enterprise Analytics assumes the SAP-wide ownership for management reporting/planning and in this context drives SAP’s Business Intelligence strategy, promotes the actual usage of BI solutions in tight collaboration with the business BI-, development- and IT teams. The team is an execution-focused organization collaboratively working cross functions to ensure the adoption of best practices and enabling a scalable, world-class analytics foundation fully leveraging technology innovations to provide global transparency out of one single source of truth reporting system. In addition, the Enterprise Analytics function delivers pre-defined services with a clear customer focus on the best leverage of economies of scale. At Enterprise Analytics, we have full access to all of SAP’s large amounts of data and are always aiming to make the very best of it.

Tasks and Responsibilities

  • Develop algorithms to automate the search for external regressors on time series forecasts across the company’s data (sales, HR, finance, product, usage, …)

  • Develop software integration of such time series and regressor-sweep algorithms into existing tools

  • Lead your own data science projects from start to finish (along CRISP-DM cycle) with the goal of delivering practicable insights and fully automated predictive scenarios

  • Usage and application of data science and machine learning tools and practices (Python, R, SAP Predictive Analytics, PAL, APL, …)

  • Work with technologies like SAP HANA, Kubernetes, SAP Cloud Platform, Azure, and other related products

  • Work in a young, dynamic team together with many stakeholders across the organizations within SAP

Skills and competencies

  • Experience in working with Kubernetes and scalable cloud technologies

  • Knowledge of R and statistical / ML methods required in the field

  • Curious, fast learner and entrepreneurial spirit (don’t worry, we will be there for you, but you will be in the driver’s seat)

  • Excellent level of English, French is a nice-to-have but not mandatory


Success is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now .


To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you 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 (Americas: or , APJ: , EMEA: ).

Successful candidates might be required to undergo a background verification with an external vendor.

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