Data Scientist
Kelloggs
Manchester, Greater Manchester
Permanent
Published: 1 day ago
Competitive
Manchester, United Kingdom
6 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Manchester, United Kingdom
Tech stack
Data analysis
Data Integration
Data Visualization
R
Python
Machine Learning
Power BI
TensorFlow
SQL Databases
Web Platforms
PyTorch
Scikit Learn
Information Technology
Job description
This is a 12-month fixed-term contract role that offers hybrid role, that offers flexibility and collaboration, giving you the chance to work on cutting-edge analytics projects that make a real impact.
If you love turning complex data into actionable strategies, thrive in a fast-paced environment, and want to influence decisions that touch millions of consumers, this is your opportunity to shine. You'll partner with cross-functional teams, apply advanced analytics, and bring fresh thinking to every challenge.
A Taste of What You'll Be Doing
- E-commerce Analytics: Develop predictive models to optimise online sales performance, pricing strategies, and digital shelf visibility-helping our brands stand out in the digital marketplace.
- Sales Forecasting: Build robust demand forecasting models to support trade planning, inventory optimisation, and flawless sales execution.
- Marketing Effectiveness: Use advanced statistical and machine learning techniques to measure campaign ROI, refine customer segmentation, and personalise experiences that drive engagement.
- Revenue Growth Management (RGM): Apply scenario modelling and elasticity analysis to optimise pricing, promotions, and assortment strategies for maximum impact.
- Data Integration: Consolidate and harmonise data from multiple sources-POS, CRM, digital platforms, syndicated data-into unified insights that empower smarter decisions.
Requirements
- 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.
About the company
At Kellanova, data isn't just numbers-it's the fuel that powers smarter decisions and bold growth. We're looking for a Data Scientist to join our dynamic team in Manchester and help shape the future of how we leverage insights across e-commerce, sales, marketing, and revenue growth management (RGM)., At Kellanova, we are driven by our vision to be the world's best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people. Our portfolio of iconic, world-class brands include Pringles, Cheez-It, Pop-Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Tresor, Crunchy Nut, among others.
Kellanova's Culture of Best means we bring our best to all that we do in pursuit of our vision to be the world's best performing snacks-led powerhouse. Our culture celebrates boldness and empowers our people to challenge the status quo, achieve results, and win together.
Our focus on Equity, Diversity, and Inclusion (ED&I) enables us to build a culture of belonging where all employees have a place at the table and are inspired to share their passion, talents and ideas to work.
Mars has agreed to acquire Kellanova in a combination that will shape the future of snacking! The transaction is anticipated to close towards the end of 2025 (subject to customary closing conditions, including regulatory approvals). The companies remain separate until closing.