Data Scientist - Production

ZipRecruiter; Bagshot; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global beverage leader in the UK is seeking an experienced Data Scientist - Production to ensure the efficient transition of machine learning models to production. You will deploy and maintain AI models and collaborate closely with teams to integrate solutions, ensuring reliability and scalability. Ideal candidates hold a Master’s degree in a related field and have significant experience with MLOps. This role offers challenges and growth within a respected organization.

Qualifications

• Experience in deploying and maintaining machine learning models in production environments.
• Strong understanding of MLOps practices, including CI/CD pipelines and model monitoring.

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

Proficiency in Python

Proficiency in SQL

Cloud platforms (e.g., Databricks, Azure)

Problem-solving skills

Attention to detail

Education

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

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?

Data Scientist - Production

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

1. Deploy and maintain AI models in production, ensuring efficient refreshes as needed.
2. Collaborate with the UDP team to integrate machine learning solutions into production workflows.
3. Represent CCEP in third-party projects, ensuring smooth transitions post-handover.
4. Monitor model performance and address requests for maintenance and evolution.
5. 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.

Application Process

If this role interests you, please upload a recent copy of your CV. A member of the Talent Acquisition team will contact you.

Equal Opportunities & Additional Information

We believe in equal opportunities and fair treatment for all. As we have expanded into alcohol ready-to-drink products like Jack Daniel’s and Coca-Cola, we recognize that some people prefer not to participate in alcohol-related activities. Please inform your talent acquisition contact if this applies to you.

We aim to make our recruitment process accessible and comfortable. Please advise us of any specific requirements or adjustments to assist you.

Job Details

• Hiring Manager: Muhammad Shakir Hussain
• Recruiter: Tegan McColl
• Grade: G3
• Locations: Madrid, Barcelona, Uxbridge

We are Coca-Cola Europacific Partners, a global leader in the beverage industry, serving customers in 31 countries with some of the world's most loved drinks.