Data Scientist

Loyalty Rules
Manchester
1 day ago
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Overview

Data Scientist role at Kellanova in Manchester. 12-month fixed-term contract with hybrid working.

Responsibilities
  • E-commerce Analytics: Develop predictive models to optimise online sales performance, pricing strategies, and digital shelf visibility.
  • Sales Forecasting: Build demand forecasting models to support trade planning, inventory optimisation, and sales execution.
  • Marketing Effectiveness: Use statistical and machine learning techniques to measure campaign ROI, refine customer segmentation, and personalise experiences.
  • Revenue Growth Management (RGM): Apply scenario modelling and elasticity analysis to optimise pricing, promotions, and assortment strategies for maximum impact.
  • Data Integration: Consolidate data from multiple sources—POS, CRM, digital platforms, syndicated data—into unified insights that empower smarter decisions.
What were looking for
  • Master’s degree in a STEM or related field (Data Science, Mathematics, Computer Science, Engineering).
  • Proficiency in Python, R, SQL, and data visualisation tools such as Power BI.
  • Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).
  • Ability to present technical findings to non-technical stakeholders in a compelling and actionable way.
What’s Next

Applications are reviewed by a recruiter; it may take a few weeks to hear back by email or phone. Visit the How We Hire page for insights into our hiring process and what we offer.

Need assistance? Email

About Kellanova

At Kellanova, we are driven by our vision to be the world’s best-performing snacks-led powerhouse. Our portfolio includes Pringles, Cheez-It, Pop-Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Tresor, Crunchy Nut, among others. We emphasize Equity, Diversity, and Inclusion (ED&I) and strive to create a culture of belonging.

Equal Opportunity

Kellanova is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. For more information about our Equity, Diversity & Inclusion efforts, please visit our website.

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