McCormick Data Scientist Internship

About Us

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.

Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.

While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas.

At McCormick, we have over a 100-year legacy based on our “Power of People” principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values.

Position Overview

Reporting to the AI, Automation and Data Science Manager, the AI / ML / Data Scientist is responsible for utilizing advanced analytics, machine learning, and automation techniques to extract actionable insights from diverse datasets. The incumbent should have a robust understanding of key AI / ML concepts and combine their expertise in data, computational science, and technology with MKC consumer-oriented business knowledge. Ultimately will drive high-value insights into the organization and steer strategic growth initiatives. 

Key Responsibilities

  1. Mine and analyze data from enterprise databases by applying statistics, machine learning, and analytic approaches to drive optimization and operational improvements.
  2. Collaborate with functions, functional solution leads, and strategic solution build teams to deploy scalable AI/ML-infused applications.
  3. Choose appropriate algorithms based on the nature of the problem, data structure, and desired outcomes.
  4. Train ML models using historical data and assess their performance against predefined metrics.
  5. Continuously optimize and fine-tune models for improved accuracy and efficiency. 

Required Qualifications & Experience

  1. Bachelor's in Supply Chain, Computer Science, Data, Finance or relevant field.  
  2. Automation Tools and Frameworks 
  3. Programming, Testing and QA 
  4. Data Analytics 
  5. Technical knowledge for Data environments, transformation, models and queries 
  6. Partnering across different regions and functions

Interpersonal Skills

  1. Strong communication and diplomacy skills 
  2. Strong analytical decision-making and direction-setting 
  3. Experience working with regions and different culture
Want to apply?

 

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