Data Scientist - Production

Coca-Cola Europacific Partners; Uxbridge; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading beverage company in Uxbridge is seeking a Data Scientist - Production to ensure the efficient deployment of AI models and their integration into production workflows. The ideal candidate has a Master’s degree and extensive experience in MLOps practices. Key responsibilities include maintaining model performance and collaboration with various teams. This role offers the opportunity to work on impactful projects in a dynamic environment.

Qualifications

• Experience in deploying and maintaining machine learning models in production environments.
• Strong understanding of MLOps practices, including CI/CD pipelines and model monitoring.
• Excellent problem-solving skills and attention to detail.

Responsibilities

• Deploy and maintain AI models in production, ensuring efficient refreshes as needed.
• Collaborate with the UDP team to integrate machine learning solutions into production workflows.
• Monitor model performance and address requests for maintenance and evolution.

Skills

Python

SQL

Problem-solving

Education

Master’s degree in Computer Science, Data Science, or related field

Tools

Databricks

Azure

Job description

Level: Manager:

Experience: 4+ years

Role Overview: The Data Scientist - Production ensures the efficient transition of machine learning models from exploration to production. Working closely with the UDP team, this role is responsible for deploying, maintaining, and evolving AI models, ensuring their reliability and scalability in production environments. The role also includes representing CCEP in third-party projects to ensure smooth handovers.

Key Responsibilities:

• Deploy and maintain AI models in production, ensuring efficient refreshes as needed.
• Collaborate with the UDP team to integrate machine learning solutions into production workflows.
• Represent CCEP in third-party projects, ensuring smooth transitions post-handover.
• Monitor model performance and address requests for maintenance and evolution.
• Implement best practices in MLOps for scalable and reliable model deployment.
  
  

Qualifications:

• Master’s degree in Computer Science, Data Science, or a related field.
• Experience in deploying and maintaining machine learning models in production environments.
• Proficiency in Python, SQL, and cloud platforms (e.g., Databricks, Azure).
• Strong understanding of MLOps practices, including CI/CD pipelines and model monitoring.
• Excellent problem-solving skills and attention to detail