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SAP • Belgrade, RS

Data Scientist (limited full-time)

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8.4

/10

Transparency ranking

Job Description

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:

  • Serve as the lead data strategist, identifying new data sources and integrating them into our platform.
  • Collaborate with engineering and AI teams to implement machine learning models in production.
  • Design and execute analytical experiments to support business and technical decision-making.
  • Apply and fine-tune existing ML algorithms to solve real-world business challenges.
  • Prepare, clean, and validate large datasets for modeling and analytics.
  • Analyze trends, patterns, and insights in data to support AI development.
  • Translate complex data analysis into actionable insights and communicate results to stakeholders.
  • Work with both structured and unstructured data sources across various domain

What you bring:

  • Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or a related field.
  • 3+ years of hands-on experience in data science and machine learning.
  • Proficiency in Python or Java, SQL, and data visualization tools such as Tableau or Power BI.
  • Strong experience in statistical modeling, predictive analytics, and data mining techniques.
  • Familiarity with cloud-based environments and deploying ML models into production systems.
  • Solid understanding of algorithm design, data cleaning, and feature engineering.
  • Ability to work in fast-paced, collaborative teams on multiple concurrent projects

Nice to Have:

  • Experience with big data technologies and tools (e.g., Hadoop, Spark).
  • Prior work in integrating AI/ML solutions into enterprise software.
  • Familiarity with SAP data models or BTP environment.
  • Exposure to DevOps practices and MLOps tooling.
  • Experience with data versioning, pipeline orchestration, and reproducibility practices.

Meet your team

We are seeking a highly analytical and experienced Data Scientist to drive our AI initiatives by designing and deploying data-driven solutions. You will lead efforts in mining, analyzing, and transforming structured and unstructured data to develop and enhance machine learning models that are integrated into our products. Your work will directly support strategic AI capabilities across our engineering stack

#SAPNextGen

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: 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.

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.

Requisition ID: 431394 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid.

Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
LinkedIn learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Working at SAP

Company employees

107,000

Gender diversity (male:female)

65:35

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