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Snr Data Scientist - GenAI

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London

On-site

GBP 50,000 - 90,000

Full time

18 days ago

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Job summary

An established industry player is seeking a Data Scientist with a focus on Generative AI to drive innovative initiatives. This role involves developing and deploying cutting-edge GenAI models for commercial applications, enhancing business processes through advanced techniques like retrieval-augmented generation (RAG). The ideal candidate will have a strong background in AI, MLOps, and cloud platforms, coupled with excellent communication skills to engage with diverse stakeholders. Join a dynamic team dedicated to making a significant impact in the consumer goods sector, where your expertise will help shape the future of AI-driven solutions.

Qualifications

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

Responsibilities

  • Develop and deploy GenAI models for commercial applications.
  • Collaborate with teams to align AI initiatives with business goals.

Skills

Generative AI
MLOps
LLMOps
Python
Communication Skills

Education

Master’s degree in Artificial Intelligence
PhD in a related field

Tools

Hugging Face
OpenAI APIs
Databricks
Azure

Job description

Job Description

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you. Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing?

Will you make an impact with your desire to win?

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 (RAG).

Key Responsibilities
  1. Develop and deploy GenAI models tailored for commercial applications.
  2. Implement RAG techniques and other generative AI strategies to enhance business processes.
  3. Ensure production-grade deployment using MLOps and LLMOps best practices.
  4. Collaborate with cross-functional teams to align AI initiatives with business goals.
  5. Stay updated on advancements in Generative AI and large model frameworks.
Qualifications
  1. Master’s degree in Artificial Intelligence, Computer Science, or a related field; a PhD is preferred.
  2. Expertise in Generative AI and large models (e.g., Hugging Face, OpenAI APIs).
  3. Experience with MLOps and LLMOps for scalable model deployment.
  4. Proficiency in Python and cloud-based data platforms (e.g., Databricks, Azure).
  5. Excellent communication skills for engaging with technical and non-technical stakeholders.

If this role is of interest to you, please upload a recent copy of your CV and a member of the Talent Acquisition team will be in touch. We believe that equal opportunities means fair treatment for all.

As we have expanded recently into alcohol ready to drink Jack Daniel’s and Coca-Cola, we recognize that some people prefer not to participate in alcohol-related sales, interactions, or promotions. If that’s true for you, please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio. We aim to make our recruitment process as comfortable and accessible as possible and would appreciate it if you would advise us of any particular requirements, adjustments, or requests you may have to help us ensure that your experience is enjoyable.

Job Information

Hiring Manager: Muhammad Shakir Hussain
Recruiter: Robin Meyer
Grade: G3
Location: Pan EU: Spain: Cataluna: Barcelona || Pan EU: Spain: Madrid: Madrid || Pan EU: United Kingdom: CCEP Site Locations: Uxbridge

We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world.

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