Snr Data Scientist - GenAI

Coca-Cola Europacific Partners; Uxbridge; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading company is seeking a Data Scientist with a focus on Generative AI to drive innovative AI initiatives. This role involves deploying GenAI models and collaborating with cross-functional teams to align AI strategies with business objectives. Ideal candidates will have advanced degrees in AI or Computer Science and strong expertise in Generative AI technologies.

Qualifications

• Master’s degree in AI or related field; PhD preferred.
• Expertise in Generative AI and large language models.

Responsibilities

• Develop and deploy GenAI models for commercial applications.
• Implement RAG techniques to enhance business processes.

Skills

Generative AI

Python

Communication

Education

Master’s degree in Artificial Intelligence

PhD

Tools

Hugging Face

OpenAI APIs

Databricks

Azure

Job description

Role Overview:

The Data Scientist - GenAI Focus drives the development and implementation of Generative AI initiatives identified through the AI Incubator process. This role involves fine-tuning, deploying, and scaling GenAI models for commercial applications, such as knowledge base creation, recommendation systems, and retrieval-augmented generation (RAG).

Key Responsibilities:

• Develop and deploy GenAI models tailored for commercial applications.
• Implement RAG techniques and other generative AI strategies to enhance business processes.
• Ensure production-grade deployment using MLOps and LLMOps best practices.
• Collaborate with cross-functional teams to align AI initiatives with business goals.
• Stay updated on advancements in Generative AI and large language model frameworks.
  
  

Qualifications:

• Master’s degree in Artificial Intelligence, Computer Science, or a related field; a PhD is preferred.
• Expertise in Generative AI and large language models (e.g., Hugging Face, OpenAI APIs).
• Experience with MLOps and LLMOps for scalable model deployment.
• Proficiency in Python and cloud-based data platforms (e.g., Databricks, Azure).
• Excellent communication skills for engaging with technical and non-technical stakeholders.