Data Science Working Student (f/m/d) for Financial Risk Prediction

Key Skills

Data science techniques, Jenkins, Keras software library, Machine learning techniques, PySpark, Python Programming, PyTorch, SPARK Programming, TensorFlow

Job Description

The Infused Intelligence is responsible for delivering innovative and user-centric cloud solutions through different ML technologies to internal stakeholders. Team members are building cutting-edge models to delivery into solution areas ranging from marketing to post-sales, HR, and finance. Model building includes data ingestion, cleansing and analysis, model training and evaluation, as well as deployment to SAP environments like SAP HANA, SAP Analytics Cloud, and SAP Cloud Foundry, as well as Azure Databricks. As every use case is unique and explicitly tailored to SAP’s own data and architecture, every use case offers research and development perspectives. In our team, you will analyze data for one of our new use cases and build a state-of-the-art model impacting our standard business processes.

THE ROLE

• Work with a team of data scientists and software engineers on ML modeling and deployment pipelines at all stages of development: data exploration, model training, model fine-tuning and optimization, productive deployment, testing.
• Communicate with stakeholders to understand business processes and model input data.
• Support a high-visibility project along experienced data scientists.

ROLE REQUIREMENTS

Must have:

• Bachelor’s Degree in Data Science or related fields,
• Proficiency in Python and at least one of the other programming languages (e.g. Java, R, SQL),
• Experienced with data analysis and visualization packages in Python or R (e.g. Pandas, numpy, scikitlearn, statsmodels, matplotlib, ggplot2, dplyr, etc.),
• Experience in one or more machine learning frameworks (scikit-learn, pytorch, tensorflow, keras)
• Knowledgeable on large scale data analysis with spark, pyspark
• Good understanding of statistical methods (descriptive analyses, regression modeling, etc.) 
• Strong oral and written communication skills in English.

Nice to have:

• Experience with explainability and interpretability of machine learning models (SHAP, glass-box models)
• Familiar with software version control (e.g. GitHub, Git).
• Experience with CI/CD frameworks (e.g. Jenkins, Concourse, Gitlab CI/CD)
• Experience in writing tests for ML models.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

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We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.