Internship: Data Scientist F/M (Mougins Cedex, FR, 06254)

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

What you’ll do

Goals:

Apply Natural Language Processing (NLP) techniques to analyze and structure the subset of SAP KBAs and SAP Help Documents on SAP HANA DB.
Contribute to the development of a knowledge graph inspired by LightRAG, utilizing NER and relation extraction.

Tasks:

Topic Modeling and Clustering:
- Cluster KBAs into groups using various clustering algorithms (e.g., K-means, hierarchical clustering).
- Apply topic modeling techniques (e.g., Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF), BERTopic, FASTopic) to identify underlying topics in the clustered KBAs.
- Conduct analysis on the clusters and summarize elements within each cluster using Large Language Models (LLMs) such as BERT, RoBERTa, or transformer-based models.
Named Entity Recognition (NER) and Information Extraction:
- Apply NER techniques to extract relevant entities (e.g., product names, functions, references) from the KBAs and Help Documents.
- Use information extraction techniques to structure the documents into a more organized format.
- Identify relationships between documents based on meta-data presented in JSON (e.g., related products, product functions).
Construction of Knowledge Graph:
- Design and implement a knowledge graph inspired by LightRAG, utilizing the extracted entities and relationships.
- Integrate the knowledge graph with existing SAP systems or tools, as needed.

Deliverables:

A report detailing the clustering and topic modeling results.
A knowledge graph inspired by LightRAG, integrating the extracted entities and relationships from the KBAs and Help Documents.
A presentation summarizing the project outcomes and contributions to the SAP Labs team.
A written document (e.g., thesis, research paper) detailing the methodology, results, and conclusions of the internship project.

What you bring

NLP Fundamentals:

Understanding of NLP concepts, such as tokenization, stemming, lemmatization, sentiment analysis, and topic modeling.
Familiarity with popular NLP libraries and frameworks (e.g., NLTK, spaCy, scikit-learn).

Deep Learning Techniques:

Experience with deep learning models for NLP tasks, such as BERT, RoBERTa, transformer-based models.
Understanding of techniques for fine-tuning pre-trained language models on specific tasks.

Programming Skills:

Proficiency in programming languages (e.g., Python, Java).
Familiarity with popular libraries and frameworks (e.g., TensorFlow, PyTorch).

Data Analysis and Visualization:

Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).

Collaboration and Communication:

Strong communication and collaboration skills to work effectively with the SAP Labs team.
Desire and ability to work closely with a team (local and distant); Good written and oral practice of English, French, and German are a plus.
Ability to think innovatively and autonomy in work.

Meet your team

You will work closely with the SAP Labs team, which consists of experienced and passionate professionals in the field of information technology and software.
This team will provide the necessary support and enable you to thrive in an innovative and international environment.
We are confident that the missions of this internship are both complex and international, as we are a leading global company in the field of information technology and software.

Full-time

In accordance with French legislation, for any duration exceeding 2 months, this internship is subject to a stipend, in alignment with the scale defined by SAP.

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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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: [email protected]
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.