Data Scientist - CSSC

Coca-Cola Europacific Partners; Grimstad; On-site; NOK 800,000 - 1,100,000; Full time

Job summary

A leading company in the beverage sector is seeking a Data Scientist to work within their supply chain team in Grimstad. The position involves developing AI-driven solutions to enhance operations, including demand forecasting and inventory management. Ideal candidates will hold a Master's degree or PhD, with strong expertise in Python and machine learning methodologies. The role offers an opportunity to lead key projects while mentoring junior staff in a collaborative environment.

Qualifications

• Master’s degree or PhD in relevant fields.
• 3+ years of experience with supply chain analytics.
• Proficiency in Python and SQL.

Responsibilities

• Develop and implement machine learning models for supply chain operations.
• Collaborate with stakeholders on AI initiatives.
• Provide technical guidance and mentorship to junior data scientists.

Skills

Machine Learning

Data Analysis

Statistics

Supply Chain Analytics

Agile Methodologies

Python

SQL

Education

Master’s degree in Statistics, Computer Science, Machine Learning, or a related field

PhD (preferred)

Tools

Databricks

Azure

Job description

Level: Manager

Experience: 3+ years

Role Overview:

The Data Scientist - CSSC partners with the Lead Data Scientist (CSSC) to develop and implement AI explorations selected through the AI Incubator process. This hands-on role focuses on delivering advanced data science solutions for the supply chain domain in manufacturing, including demand forecasting, inventory optimization, logistics analytics, and production scheduling.

Key Responsibilities:

• Collaborate with stakeholders to identify and prioritize supply chain-focused AI initiatives.
• Develop and implement machine learning models to optimize supply chain operations.
• Deliver projects using Agile methodologies, ensuring alignment with business needs.
• Provide technical guidance and mentorship to junior data scientists.
• Stay updated on advancements in supply chain analytics and AI technologies.
  
  

Qualifications:

• Master’s degree in Statistics, Computer Science, Machine Learning, or a related field; a PhD is preferred.
• Strong expertise in supply chain analytics, including demand forecasting and logistics optimization.
• Proficiency in Python, SQL, and cloud-based data platforms (e.g., Databricks, Azure).
• Experience in Agile project delivery within manufacturing or FMCG industries.
• Knowledge of advanced statistical techniques and machine learning frameworks.