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SAP • Bangalore, IN

Senior Data Scientist/ Data Scientist, SAP Applications AI Team

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8.4

/10

Transparency ranking

Job Description

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.

We are seeking a highly motivated Senior AI Scientist to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what’s possible with AI. You will work across customer projects, product development, and research initiatives making a real-world impact from day one.

This position is ideal for an AI professional with a strong technical foundation and a passion for bridging research innovation with practical business applications. In this position, you will have the opportunity to work on cutting-edge AI projects with direct customer impact.

What You’ll Do

You will be working under the direction of expert data scientists to help deliver prototype and production grade AI solutions for strategic business problems. You will also be providing direction and mentorship to junior staff to ensure timely delivery of sound solutions.

Mathematical Modeling & Algorithm Design
Translate complex business problems into mathematical or computational models.
Design, implement, and optimize machine learning algorithms and data mining workflows
Rapid Prototyping & Customer Engagement
Collaborate directly with customers to understand business needs, define requirements, and deliver proof-of-concept AI solutions
Build, integrate, and test AI-driven prototypes and applications for real-world use cases
· AI Development & Research
Support internal teams by designing and implementing novel machine learning algorithms
Apply recent research breakthroughs to practical problems to create measurable business value
Contribute to continuous improvement of system scalability, performance, and explainability
· Communication & Collaboration
Clearly communicate complex results and insights to both technical and non-technical stakeholders
Visualize and document findings to ensure transparency and reproducibility
Work cross-functionally with product, engineering, and research teams to drive AI adoption

Due to the global nature of the team and the customers we serve, the team is completely results-oriented, where team members work during their own local working hours while allowing time to meet with their fellow team members, managers, and customers at mutually convenient times.

What You Bring

· Education & Experience
Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
5+ years of experience for Data Scientist and 9+ years of experience as Senior Data Scientist in machine learning, data science, or AI research (industry, research lab, or advanced academic projects)
· Technical Skills
Strong background in machine learning, deep learning, data mining, and/or optimization
Proficiency with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn) and experience working with real-world datasets, data preprocessing, and model deployment
Familiarity with cloud environments (AWS, Azure, GCP)
· Core Competencies
Ability to translate abstract business challenges into concrete AI solutions
Strong analytical, problem-solving, and mathematical modeling skills
Curiosity and initiative in exploring new AI techniques and applications
Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks
Write production-grade Python code
Excellent communication and collaboration skills, especially in customer-facing environments, commitment to ethical and explainable AI practices


Meet Your Team

The Intelligence Team within Application AI is the team responsible for performing advanced R&D and AI application development for SAP Business Suite Finance & Spend. Our solutions work across SAP business applications to deliver on the company’s suite-first, AI-first promise. We are a group of globally distributed AI scientists that collaborate in a multidisciplinary environment with customers, product managers, and full-stack engineers. In this role, you will gain exposure to diverse problem domains; no two projects are the same. We foster a culture of innovation where new ideas are encouraged and valued

#sapaiapp

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.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

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: 434806 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular 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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