AI Data Scientist
- Posted 11 hours ago
- Be among the first 20 applicants
Job Description
Westernacher Consulting is a German integrated business and IT SAP consulting company with extensive experience in Logistics, Finance & Controlling, and Business Analytics.
If you enjoy collaborating with high-caliber individuals on engaging projects within a thriving partnership organization, Westernacher is the place to be!
To strengthen our team in India, we are seeking an AI Data Scientist interested in joining a world-class SAP S/4HANA consulting company.
Your Responsibilities
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 Experience And Skills
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, continuous learning mindset, and ability to translate new concepts into practical solutions.
Why Westernacher
Committed to innovation, since 1969 Westernacher Consulting operates worldwide, with more than 1000 consultants in Europe, Asia and the Americas. We provide global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Headquartered in Heidelberg, Germany, Westernacher Consulting is the global leader in business process and technology innovation.
Living, working, and operating in partnership. We are inquisitive, creative thinkers with a strong entrepreneurial spirit. We question new ways of working, think differently and are willing to try out new approaches to create value and innovation for our customers. All of this makes us pioneers in our field and keeps us responsive, quality-focused, and results-oriented.
Westernacher is a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. Westernacher is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Life@Westernacher
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
If you enjoy collaborating with high-caliber individuals on engaging projects within a thriving partnership organization, Westernacher is the place to be!
To strengthen our team in India, we are seeking an AI Data Scientist interested in joining a world-class SAP S/4HANA consulting company.
Your Responsibilities
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 Experience And Skills
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, continuous learning mindset, and ability to translate new concepts into practical solutions.
Why 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 and add to your business process know-how.
- Flexible working hours and a hybrid working model.
Committed to innovation, since 1969 Westernacher Consulting operates worldwide, with more than 1000 consultants in Europe, Asia and the Americas. We provide global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Headquartered in Heidelberg, Germany, Westernacher Consulting is the global leader in business process and technology innovation.
Living, working, and operating in partnership. We are inquisitive, creative thinkers with a strong entrepreneurial spirit. We question new ways of working, think differently and are willing to try out new approaches to create value and innovation for our customers. All of this makes us pioneers in our field and keeps us responsive, quality-focused, and results-oriented.
Westernacher is a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. Westernacher is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Life@Westernacher
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
More Info
Key Skills
embedding pipelines
enterprise data lakes
Microsoft Azure AI
RAG strategies
Applied AI
Analytics Engineering
Responsible AI compliance
context engineering
Microsoft Fabric OneLake
Amazon AWS Bedrock
semantic retrieval models
LlamaIndex
retrieval pipelines
chunking approaches
About Company
Skills:
Python, Machine Learning, Graph Analytics Digital Twin Analytics, Statistics, KPI Feature Engineering, LLMs RAG and AI Agents, Fault Analysis Correlation Anomaly Detection, TMF SID Open APIs, AIOps Predictive Analytics, Network Performance Analytics RAN Core IP SD-WAN Transport, BigQuery or equivalent platforms, Data Pipelines Quality Management
Skills:
data engineering , causal inference , Machine Learning, Python, Statistical Modeling, Deep learning frameworks and architectures, Decision-focused modeling
Skills:
snowflake , Machine Learning, Tableau, Python, Azure DevOps, Statistical Analysis, Power Bi, Bi Tools, Sql, Automated Testing, Azure ML, Git, MLops, Databricks, Time-series models, Model deployment, Optimization, Feature engineering, Llm, ML pipelines, Monitoring, Forecasting, Generative AI, Decision Support, Ai, anomaly detection, Machine Learning frameworks, Data exploration, Agentic AI, RAG, CI/CD, Azure AI
Skills:
Ml, Summarization, Sentiment Analysis, Optimization Algorithms, Workflows, Nlp, Clustering, LangChain, data pipelines, LLMs, content generation, Ai, Classification, ML models, GenAI applications, Regression, LlamaIndex
Skills:
Sql, Deep Learning, Devops, Ms Azure, Azure ML, Data Cleansing, Python, Airflow, Feature selection, Probability concepts, MLflow, Feature engineering, multivariate statistics