SAP Internship: Data Science / ML aficionado M/F Job in Paris, France
Requisition ID: 181099
Work Area: Administration
Expected Travel: 0 - 10%
Career Status: Student
Employment Type: Limited Full Time
As market leader in enterprise application software, SAP helps companies of all sizes and industries innovate through simplification. From the back office to the boardroom, warehouse to storefront, on premise to cloud, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably.
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 massive amounts of data and are always aiming to make the very best of it.
Tasks and Responsibilities
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
Acquire external data from news sources, online forums, feeds and make them available in our internal landscapes for further processing and analysis by you and other colleagues
Utilize the acquired data and further external indicators (GDP growth, wage forecasts, inflation, …) to automated forecasting and predictive models
Develop and prototype advanced machine learning scenarios (reinforcement learning, long sequence mining, …)
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, SAP Cloud Platform, Azure, and other related products
Work in a young, dynamic team together with many stakeholders across the organisations within SAP
Skills and competencies
Knowledge of web scraping and distributed computing / storage methods (Spark and Hadoop)
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
SAP'S DIVERSITY COMMITMENT
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 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 (Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com , APJ: Careers.APJ@sap.com , EMEA: Careers@sap.com ). Requests for reasonable accommodation will be considered on a case-by-case basis.
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