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Data Scientist (AI Engineer)

barclays.co.uk Logo

Barclays

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Location:
India , Noida

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Embark on a transformative journey as Data Scientist (AI Engineer) at Barclays, where you will play a pivotal role to manage operations within a business area and maintain processes with risk management initiatives. You will take ownership of your work and provide first-class support to our clients with expertise and care. The Data Scientist role focuses on leveraging ML, Generative AI and AWS cloud technologies to build advanced predictive and NLP models, and deliver scalable AI solutions for business transformation.

Job Responsibility:

  • Develop and deploy Generative AI and Agentic AI models using AWS services such as SageMaker and Bedrock
  • Implement autonomous AI agents capable of performing multi-step reasoning, decision-making, and task execution
  • Apply NLP techniques for text analytics, summarization, conversational AI, and intelligent document processing
  • Integrate GenAI and Agentic AI capabilities into business workflows for automated insights and operational efficiency
  • Build scalable data pipelines and workflows using Python, SQL, and AWS cloud infrastructure
  • Conduct model evaluation, monitoring, and retraining to ensure accuracy, adaptability, and compliance
  • Collaborate with cross-functional teams to identify AI-driven opportunities and deliver impactful solutions
  • Identification, collection, extraction of data from various sources, including internal and external sources
  • Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing
  • Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
  • Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
  • Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

Requirements:

  • Experience in Programming & Data Analysis: Python, SQL
  • Experience in Machine Learning & AI: Generative AI, Agentic AI, NLP, ML algorithms
  • Cloud Platforms: AWS (Sagemaker, Bedrock, Glue, Lambda, etc.)
  • Data Engineering: Data wrangling, pipeline development, cloud integration
What we offer:
  • modern workspaces, collaborative areas, and state-of-the-art meeting rooms
  • Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations
  • flexible working arrangements
  • hybrid working

Additional Information:

Job Posted:
January 25, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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