Data Scientist

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

Title: Data Scientist

Location: Manchester, UK – Hybrid work.

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 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.

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 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]

You’ll be rewarded for the difference you make. Our comprehensive benefits offer support 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 includes Pringles, Cheez‑It, Pop‑Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Tresor, Crunchy Nut, and 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.