Data Scientist Lead

4 hours ago

London, Greater London, United Kingdom Cognizant Full time
Data Scientist Lead Opportunity

Cognizant, a leading professional services company, is seeking an experienced Data Scientist Lead to join our Intelligent Process Automation (IPA) practice. This role offers a unique chance to work with cutting-edge generative AI technologies and drive business transformation.

The ideal candidate will have expertise in statistics, machine learning, and deep learning concepts, as well as proficiency in Python frameworks such as scikit-learn and TensorFlow. Experience with Gen AI projects, including text summarization and chatbot creation using LLM models, is also highly valued.

This role involves collaborating with cross-functional teams to design and develop innovative AI solutions that address real-world challenges. The successful candidate will have excellent communication and project management skills, as well as the ability to work effectively in a fast-paced environment.

As a Data Scientist Lead at Cognizant, you will have the opportunity to work on high-profile projects and make a significant impact on the business. You will be part of a collaborative team that values innovation, creativity, and continuous learning.

In this role, you will:
  • Imagine new applications of generative AI to address business needs
  • Integrate Generative AI into existing applications and workflows
  • Collaborate with Machine Learning scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges
  • Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership
  • Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions
  • Deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI
  • Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on various platforms
  • Provide customer and market feedback to Product and Engineering teams to help define product direction

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