Hybrid Data Scientist for E-commerce & Growth

Kellogg s; Manchester; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A global snacks company is seeking a Data Scientist to join their Manchester team. The role involves developing predictive models and analytics projects that impact e-commerce, sales, marketing, and revenue growth management. Successful candidates will have a Master's degree in a STEM field and proficiency in Python, R, and SQL. This hybrid position offers opportunities for collaboration and innovation in data strategies that directly influence consumer engagement. Join us to make a significant impact on our brands!

Qualifications

• Master's degree in Data Science, Mathematics, Computer Science, Engineering required.
• Proficiency in Python, R, SQL, and data visualization tools essential.
• Experience with machine learning frameworks advantageous.
• Strong presentation skills for technical findings required.

Responsibilities

• Develop predictive models for online sales performance.
• Build demand forecasting models for trade planning.
• Measure marketing campaign ROI using advanced techniques.
• Apply scenario modeling for pricing and promotions.
• Consolidate data from multiple sources for unified insights.

Skills

Proficiency in Python

Proficiency in R

Proficiency in SQL

Data visualization tools (e.g., Power BI)

Machine learning frameworks (scikit-learn, TensorFlow, PyTorch)

Education

Master's degree in a STEM or related field

Job description

A global snacks company is seeking a Data Scientist to join their Manchester team. The role involves developing predictive models and analytics projects that impact e-commerce, sales, marketing, and revenue growth management. Successful candidates will have a Master's degree in a STEM field and proficiency in Python, R, and SQL. This hybrid position offers opportunities for collaboration and innovation in data strategies that directly influence consumer engagement. Join us to make a significant impact on our brands!