At a Glance
- Tasks: Transform complex data into actionable strategies and drive impactful decisions.
- Company: Join Kellanova, a leading snacks powerhouse with a vibrant culture.
- Benefits: Enjoy hybrid work, competitive salary, and comprehensive benefits.
- Why this job: Make a real impact on e-commerce and marketing through advanced analytics.
- Qualifications: Master’s in STEM, proficiency in Python, R, SQL, and machine learning.
- Other info: Dynamic team environment with opportunities for growth and innovation.
The predicted salary is between 28800 - 48000 ÂŁ per year.
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.
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.
- 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.
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 European.recruitment@kellanova.com
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.
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.
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.
Data Scientist in Manchester employer: Loyalty Rules
Contact Detail:
Loyalty Rules Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Kellanova on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, R, and machine learning frameworks. Show us how you can turn complex data into actionable insights!
✨Tip Number 3
Don’t just focus on your technical skills; practice explaining your findings to non-technical folks. We want to see how you can make data relatable and impactful for everyone in the room.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find loads of resources about our hiring process that can help you prepare.
We think you need these skills to ace Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, R, SQL, and any machine learning frameworks you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to e-commerce analytics or marketing effectiveness.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or professionally, make sure to include them. We love seeing how you've applied your skills in real-world scenarios, especially if they involve predictive modelling or data integration.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Loyalty Rules
✨Know Your Data Tools
Make sure you’re well-versed in Python, R, SQL, and data visualisation tools like Power BI. Brush up on your machine learning frameworks too, such as scikit-learn and TensorFlow, so you can confidently discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've turned complex data into actionable strategies. Think about how you’ve developed predictive models or built demand forecasting models, and be ready to explain your thought process clearly.
✨Communicate Effectively
Practice presenting technical findings in a way that’s easy for non-technical stakeholders to understand. Use relatable examples to illustrate your points, and focus on how your insights can drive engagement and impact decisions.
✨Research Kellanova's Culture
Familiarise yourself with Kellanova’s vision and values, especially their focus on equity, diversity, and inclusion. Be prepared to discuss how you can contribute to their culture of boldness and collaboration, and why you’re excited about the opportunity to work with their iconic brands.