Data Scientist - E-commerce Analytics & Growth (12-Month)

Kellogg; Manchester; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading snacks company in Manchester is seeking a Data Scientist to analyze e-commerce and marketing data. You will develop predictive models, assess sales performance, and optimize pricing strategies. The ideal candidate will hold a Master’s degree in a STEM field with strong skills in Python and machine learning. This 12-month fixed-term hybrid contract allows for flexible work, impacting millions of consumers. Comprehensive benefits are offered, emphasizing the importance of analytics in decision-making.

Benefits

Comprehensive benefits

Flexible work hours

Cutting-edge analytics projects

Qualifications

• Master’s degree in Data Science, Mathematics, Computer Science, or Engineering is required.
• Proficiency in Python, R, SQL, and data visualization tools.
• Experience with machine learning frameworks is essential.
• Ability to present findings to non-technical stakeholders.

Responsibilities

• Develop predictive models for online sales performance.
• Build robust demand forecasting models to support trade planning.
• Use statistical techniques to measure campaign ROI.
• Apply scenario modeling for pricing and promotional strategies.
• Consolidate data from multiple sources into unified insights.

Skills

Python

R

SQL

Data visualization (Power BI)

Machine learning (scikit-learn, TensorFlow, PyTorch)

Education

Master’s degree in a STEM field

Job description

A leading snacks company in Manchester is seeking a Data Scientist to analyze e-commerce and marketing data. You will develop predictive models, assess sales performance, and optimize pricing strategies. The ideal candidate will hold a Master’s degree in a STEM field with strong skills in Python and machine learning. This 12-month fixed-term hybrid contract allows for flexible work, impacting millions of consumers. Comprehensive benefits are offered, emphasizing the importance of analytics in decision-making.