Data Scientist - Production

ZipRecruiter; Bristol; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

ZipRecruiter is seeking a Data Scientist - Production to enhance machine learning model deployment and maintenance within Coca-Cola Europacific Partners. This role involves ensuring model reliability and scalability while collaborating with teams to implement best practices in MLOps. Candidates should hold a Master’s degree and possess strong skills in Python, SQL, and cloud technologies. Experience in production environments is crucial for success.

Qualifications

• Master’s degree in a relevant field is required.
• Experience deploying machine learning models in production is essential.
• Strong proficiency in Python and SQL, with knowledge of cloud platforms.

Responsibilities

• Deploy and maintain AI models in production environments.
• Collaborate with the UDP team to integrate machine learning solutions.
• Monitor model performance and address requests for maintenance.

Skills

Proficiency in Python

Proficiency in SQL

Understanding of MLOps practices

Problem-solving skills

Attention to detail

Education

Master’s degree in Computer Science or 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 Process:

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

Additional Information:

We are committed to equal opportunities and fair treatment for all. As we have recently expanded into alcohol ready-to-drink products like Jack Daniel’s and Coca-Cola, we recognize that some individuals prefer not to participate in alcohol-related sales, interactions, or promotions. Please inform your talent acquisition contact if this applies to you, and they will advise on whether this role involves activities related to our alcohol portfolio.

We aim to make our recruitment process accessible and comfortable. Please let us know if you have any specific requirements or requests to help ensure a positive experience.

Job Details:

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

We are Coca-Cola Europacific Partners (CCEP), a team of 42,000 people serving 31 countries, dedicated to making, moving, and selling some of the world's most loved drinks. We are a leading global consumer goods company.