Data Scientist

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

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).

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.

We’re Looking for Someone With

• 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

After you apply, your application will be reviewed by a real recruiter, so it may take us a few weeks to get back to you by email or phone. Visit our How We Hire page to get insights into our hiring process and more about what we offer.

Need assistance throughout the application or hiring process? Email [e-mail]

If you join our team, you’ll be rewarded for the difference you make. Our comprehensive benefits offer you the support you need through your life events, big or small. Visit our benefits page and be sure to ask your recruiter for more specific information.

Get to Know Us

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.

You can learn more at www.futureofsnacking.com and our hiring teams will be happy to discuss further questions if your application advances in the hiring process.

What does it take to be the best? Someone like you.

Kellanova is an Equal Opportunity Employer that strives to provide an inclusive work environment, a seat for everyone at the table, and embraces the diverse talent of its people. 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 regarding our efforts to advance Equity, Diversity & Inclusion, please visit our website here .