AI Data Scientist

HCLTech
City of London
1 month ago
Applications closed

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AI Data Scientist

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Lead AI Data Scientist - Servicing

Data Scientist, Machine Learning, AI & Data, Defence & Security (DV clearance required)

Applied Data Scientist

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion.

For more information on how we process your personal data, please refer to HCLTech’ s Candidate Data Privacy Notice.



Responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business.


AI platforms, Agentic systems & Insights

Build a scalable AI platform with shared assets that reduce maintenance overhead and accelerate model delivery, standardizing adoption through APIs, ontologies and knowledge graphs while incubating an agentic AI marketplace for seamless reuse and stronger AI ROI. In parallel, deliver AI‑powered, client‑specific 360° insights through intelligent coverage agents to identify acquisition, cross‑sell and upsell opportunities, driving revenue growth and expanding market share.

Platform engineering, microservices, reusable AI components, ontologies, knowledge graph engineering. Data and AI engineering, ML pipelines. Client analytics experience.



AI-enhanced document and workflow automation on Cloud

Enable agentic workflows, including automated processing of unstructured data and documents as well as Gemini based skills, across client, product, and transaction lifecycles to improve responsiveness, operational efficiency, and control.

GenAI/LLM capabilities, document intelligence, workflow automation, GCP migration expertise, CloudOps.

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