We are looking for an AI Data Scientist to join our India team and develop enterprise AI solutions that support meaningful business and SAP transformation.
In this role, you will combine Data Science, Generative AI, enterprise data platforms, and Consulting to turn complex business information into secure, reusable, and practical AI solutions. You will work with international teams across AI, data, cloud, security, and SAP consulting.
How You’ll Make an Impact:
- Design and implement context engineering and RAG strategies for LLM-based solutions.
- Develop and optimize chunking approaches, embedding pipelines, and semantic retrieval models.
- Build and maintain retrieval pipelines using frameworks such as LlamaIndex.
- Design and operate enterprise data lakes using Microsoft Fabric / OneLake.
- Prepare, curate, and enrich data for AI consumption, including unstructured enterprise content.
- Ensure data governance, security, and Responsible AI compliance in collaboration with governance and security teams.
- Support AI solutions for Microsoft Azure AI and Amazon AWS Bedrock.
- Document best practices and support knowledge sharing within the AI and IT teams.
Your Expertise:
- Background in Data Science, Applied AI, Analytics Engineering, or Data Engineering.
- Strong interest and commitment to working with emerging AI topics.
- Solid understanding of data lake architectures and analytical data processing.
- Familiarity with the Microsoft data and AI ecosystem.
- Awareness of enterprise data governance and compliance requirements.
- Curiosity, a continuous learning mindset, and ability to translate new concepts into practical solutions.
Why Join Westernacher?
- Inspiring and exciting, innovative working environment.
- Competitive remuneration package (salary, bonus, benefits).
- International company culture and minimal hierarchical structure.
- Chance to work on complex projects from different industries.
- Flexible working hours and a hybrid working model.
Founded in 1969, Westernacher Consulting is a global business and SAP consulting company represented in 28 countries, with 1,400 consultants across Europe, Asia-Pacific and the Americas. As an SAP Gold Partner with over 30 years of SAP partnership experience, we combine deep industry knowledge, business process expertise, and technology innovation to create sustainable value for our clients.
We are 100% employee-owned, which shapes our entrepreneurial culture and our commitment to shared responsibility, long-term thinking and sustainable success. We work in partnership, challenge conventional thinking and give our people the opportunity to create meaningful impact for our clients, our company and one another.
Westernacher is committed to equal opportunity and an inclusive working environment. We welcome applications from all qualified candidates and make employment decisions based on qualifications, experience and business needs, in accordance with applicable local law.
Skills Required
- Background in Data Science, Applied AI, Analytics Engineering, or Data Engineering
- Strong interest and commitment to emerging AI topics
- Understanding of data lake architectures and analytical data processing
- Familiarity with the Microsoft data and AI ecosystem
- Awareness of enterprise data governance and compliance requirements
- Curiosity, continuous learning mindset, and ability to translate new concepts into practical solutions
What We Do
Founded in 1969, Westernacher Consulting operates worldwide, with consultants in Europe, Asia and the Americas. Westernacher provides global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Westernacher has comprehensive industry expertise in manufacturing, logistics services, retail & consumer goods, life sciences and utilities. The company’s business expertise ranges from enterprise resource planning, sales, e-commerce, procurement, manufacturing, warehouse logistics and transportation, after sales service and spare parts management to business analytics, finance and HCM
