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We are seeking a Data & AI Consultant 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 3 years of relevant work experience in (Gen) AI/ML engineering, Python, SQL and API integrations.
Strong experience in:
Strong 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.
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
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Work arrangement
No
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