Data Scientist - Production

ZipRecruiter; Guildford; On-site; GBP 50,000 - 80,000; Full time

Job summary

An established industry player is seeking a Data Scientist to lead the deployment and maintenance of AI models in production. This role emphasizes collaboration with cross-functional teams to ensure the seamless integration of machine learning solutions. Ideal candidates will possess a Master’s degree in a relevant field and have a strong background in Python, SQL, and cloud platforms. Join a dedicated team committed to innovation and excellence, where your contributions will help shape the future of AI in production environments.

Qualifications

• 4+ years of experience in deploying machine learning models.
• Strong understanding of CI/CD pipelines and model monitoring.

Responsibilities

• Deploy and maintain AI models in production environments.
• Collaborate with teams to integrate machine learning solutions.

Skills

Python

SQL

MLOps

Problem-solving

Education

Master’s degree in Computer Science

Master’s degree in Data Science

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:

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

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

Diversity and Inclusion

We believe that equal opportunities mean fair treatment for all. As we have recently expanded 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. Please inform us of any particular requirements, adjustments, or requests to help ensure your experience is positive.

Job Information:

• Hiring Manager: Muhammad Shakir Hussain
• Recruiter: Robin Meyer
• Grade: G3
• Location: Pan EU - Spain: Madrid, Catalonia: Barcelona, United Kingdom: Uxbridge

We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people serving customers in 31 countries, working 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.