Job Description
We are seeking a Data & AI Lead for a small Innovation Hub to deliver proofs of concept (Po Cs) and reusable assets, for various usecases withn Financial Services, with a focus on GRC domains (AML, Financial Crime, Risk & Compliance).
Key Responsibilities
Lead end-to-end delivery of Po Cs and reusable assets across financial services especially GRC use cases.
Architect governed semantic data layers.
Design cloud-native Po C solutions on AWS.
Guide domain rationalisation for AML, Risk, and Compliance data.
Identify and shape Gen AI / LLM Po Cs (e.g., case summarisation, data discovery).
Ensure solutions meet security, governance, and regulatory expectations.
Lead and mentor a small team of 2–3 engineers.
Present outcomes and value to business, IT, and compliance stakeholders.
Required Skills & Experience
Relevant years of experience of 10-12 years.
Data architecture, data modeling, data virtualisation, and data integration experience is a must.
Strong SQL skills with Python/Java programming skills.
Strong hands-on experience with data virtualisation using Denodo is desired.
Experience designing solutions on AWS cloud platform.
Work experience in creating (Agentic AI) frameworks, reusable components/assets, and API integration are highly desired.
Strong GRC domain expertise (AML, Financial Crime, Risk, Compliance).
Preferred / Nice-to-Have
Working knowledge of LLMs / Gen AI (e.g., RAG, vector search, AWS Bedrock).
Experience designing AI-enabled data solutions.
AWS and/or Denodo and/or Dataiku certifications.
To know more about us, please visit: 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 ( is assured, and only shortlisted candidates will be notified.
Key Responsibilities
Lead end-to-end delivery of Po Cs and reusable assets across financial services especially GRC use cases.
Architect governed semantic data layers.
Design cloud-native Po C solutions on AWS.
Guide domain rationalisation for AML, Risk, and Compliance data.
Identify and shape Gen AI / LLM Po Cs (e.g., case summarisation, data discovery).
Ensure solutions meet security, governance, and regulatory expectations.
Lead and mentor a small team of 2–3 engineers.
Present outcomes and value to business, IT, and compliance stakeholders.
Required Skills & Experience
Relevant years of experience of 10-12 years.
Data architecture, data modeling, data virtualisation, and data integration experience is a must.
Strong SQL skills with Python/Java programming skills.
Strong hands-on experience with data virtualisation using Denodo is desired.
Experience designing solutions on AWS cloud platform.
Work experience in creating (Agentic AI) frameworks, reusable components/assets, and API integration are highly desired.
Strong GRC domain expertise (AML, Financial Crime, Risk, Compliance).
Preferred / Nice-to-Have
Working knowledge of LLMs / Gen AI (e.g., RAG, vector search, AWS Bedrock).
Experience designing AI-enabled data solutions.
AWS and/or Denodo and/or Dataiku certifications.
To know more about us, please visit: 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 ( is assured, and only shortlisted candidates will be notified.
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