We are seeking a Data & AI Lead for a small Innovation Hub to deliver proofs of concept (PoCs) and reusable assets, for various usecases withn Financial Services, with a focus on GRC domains (AML, Financial Crime, Risk & Compliance) and Customer Experience4

Key Responsibilities
• Lead end-to-end delivery of Data & AI PoCs and innovation prototypes
• Build reusable technical assets, accelerators, and reference architectures
• Design governed semantic and logical data layers
• Implement data virtualization and federated data access patterns
• Apply DataOps and MLOps practices for repeatable PoC delivery
• Design cloud-native solutions across AWS, Azure, and GCP (based on client needs)
• Shape GenAI / LLM PoCs (RAG, knowledge retrieval, case summarization, data discovery)
• Develop domain-aligned data models for AML, Risk, and Compliance
• Work with businesses to identify high-impact use cases, Translate business problems into data-driven or AI solutions and run ideation workshops and innovation programs
• Mentor and lead a small engineering team (2–5 members)
• Present PoC outcomes to business, IT, and compliance stakeholders Required Skills & Experience
• At least 5 years of relevant work experience in (Gen) AI/ML engineering, Python, SQL and API integrations. Strong experience in:
• Solid foundation in data engineering
- Data architecture & data modeling, Data integration & distributed data systems,



Data virtualization & semantic layer design
• Experience in Financial Services domain
- preferably in GRC domains i.e. AML, Financial Crime, Risk, Compliance, Customer Experience.
• 2 years experience in AI Agents / systems, architectures, frameworks etc.
• Strong expertise in Graph Database is preferred.
• Practical experience in DataOps and/or MLOps practices
• Experience in leading POCs, rapid prototyping, running experimentation
• Experience building modular, API-driven, reusable components
• Hands-on multi-cloud solution design experience (AWS / Azure / GCP)
• Proven experience leading small technical teams Preferred / Nice-to-Have
• Experience with data virtualization platforms
- Denodo
• Experience with data science & AutoML platforms
- Dataiku
• Exposure to AI-enabled data platforms and data fabric approaches
• Relevant Anthropic / cloud / data / AI certifications Job

Location:
Koramangala, Bangalore. To know more

about us
, please visit: https://www.sciente.com When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy/). Confidentiality is assured, and only shortlisted candidates will be notified.

📌 AI/ML Lead (Bengaluru)
🏢 SCIENTE
📍 Bengaluru