Data Scientist - Production

ZipRecruiter; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading beverage company in London seeks an experienced Data Scientist - Production to deploy and maintain AI models. This role involves collaborating with teams to integrate machine learning into production workflows and ensuring excellent model performance. Candidates should have a Master’s degree in a relevant field and hands-on experience with MLOps practices, Python, and SQL.

Qualifications

• 4+ years of 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

Machine Learning

MLOps

Cloud Platforms

Education

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

Tools

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?

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:

• 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.

Application Process:

If this role interests you, please upload a recent CV. A member of the Talent Acquisition team will be in touch.

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 some people may prefer not to participate in alcohol-related activities. Please discuss any preferences with your talent acquisition contact.

We aim to make our recruitment process accessible and comfortable. Please inform us of any requirements or adjustments needed to ensure a positive experience.

Job Details:

• Hiring Manager: Muhammad Shakir Hussain
• Recruiter: Tegan McColl
• Grade: G3
• Locations: Pan EU (Spain: Madrid, Catalonia: Barcelona, UK: Uxbridge)

We are Coca-Cola Europacific Partners (CCEP), a global leader in the beverage industry with 42,000 employees across 31 countries.