Limited employment up to 6 months (f/m/d) - Associate Data Scientist for Machine Translation

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.

What you'll build

• You will prepare data for machine translation, including data collection, cleaning, quality assurance, and automated data pipelines.
• You will adapt and evaluate open-source NLP tools and LLM frameworks (e.g., HuggingFace Transformers, vLLM) for use in SAP scenarios, including deployment in cloud- or cluster-based environments.
• You will develop and evaluate LLM-as-a-Judge metrics for translation evaluation as part of a focused research initiative.
• You will contribute to the productionization of NLP prototypes, taking models from experimental stages to deployment on internal platforms such as SAP AI Core.
• You will work with CI/CD tools such as Jenkins and Docker to build reproducible workflows for data processing, model training, and evaluation.
• You will collaborate on dashboards and monitoring solutions to track translation quality and model performance over time.
• You will have the opportunity to work on research-oriented tasks while integrating your results into larger engineering workflows.

What you bring

• University graduate (f/m/d) with a Bachelor’s degree in Computer Science, Computational Linguistics, Artificial Intelligence, Natural Language Processing, or a related field. A background in one or more of these areas is preferred.
• Strong programming skills in Python (Java is a plus); experience with Linux environments and shell scripting is beneficial.
• You bring hands-on experience with Natural Language Processing, ideally in both academic and applied settings.
• Ideally, you have:
  o Knowledge of machine translation, large language models, and machine learning in general.
  o Practical experience with large language models (e.g., using commercial APIs such as OpenAI, Anthropic, or Google, or fine-tuning open-weight models such as Llama).
  o Familiarity with NLP tools and frameworks such as HuggingFace Transformers, Stanford CoreNLP/stanza, Apache UIMA.
  o Previous work experience involving software development tasks—ideally in an industry or applied research setting—is highly beneficial.
  o Excellent written and verbal communication skills in English; German is a plus.

Where you belong

With a focus on putting business outcomes and value realization at the center of a company's journey, SAP's Enterprise Adoption team enables users to achieve critical business outcomes and empowers customers to succeed globally and locally with a laser focus on increased resiliency, performance, and sustainability.

The Language Experience Machine Translation team develops and operates various language technology components to offer AI-driven automatic translation capabilities across SAP and to customers and partners via the SAP Translation Hub.
We are looking for an enthusiastic, innovative, junior Data Scientist who is passionate about technology, fascinated by its unlimited possibilities and can join us in our journey to help every customer to become a best-run business.

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.

This is a SAP global, strategic, paid, limited placement that provides candidates with opportunities to find purpose in their careers.

#SAPNextGen

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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 SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 457229 | Work Area: Administration | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Limited Full Time | #LI-Hybrid

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