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 pay, and comprehensive support for life events.
- Other info: Be part of a diverse team that celebrates boldness and innovation.
- 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 experience.
The predicted salary is between 28800 - 43200 £ 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.
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.
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.
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: Kellanova
Kellanova is an exceptional employer that fosters a culture of collaboration and innovation, making it an ideal place for a Data Scientist to thrive. Located in Manchester, this role offers the flexibility of hybrid working while engaging in impactful analytics projects that drive real change across e-commerce and marketing. With a strong commitment to employee growth, diversity, and inclusion, Kellanova empowers its team members to challenge the status quo and contribute to the success of iconic brands.
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 might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss your experience with Python, R, and machine learning frameworks. Show them you can turn complex data into actionable insights!
✨Tip Number 3
Don’t forget to showcase your soft skills! Kellanova values collaboration, so be prepared to share examples of how you've worked with cross-functional teams to achieve results.
✨Tip Number 4
Apply through our website for a smoother process! It’s the best way to ensure your application gets directly into the hands of the hiring team. Plus, you’ll find all the latest updates there!
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 at Kellanova. Highlight your experience with Python, R, and SQL, and don’t forget to showcase any machine learning projects you've worked on. 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 Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can turn data into actionable strategies, so share those success stories with us!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the info you need about our hiring process and what it’s like to work at Kellanova.
How to prepare for a job interview at Kellanova
✨Know Your Data Tools
Make sure you brush up on your skills with Python, R, SQL, and data visualisation tools like Power BI. Be ready to discuss how you've used these tools in past projects, especially in e-commerce analytics or sales forecasting.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about times when you developed predictive models or applied machine learning techniques to drive results—this is your chance to shine!
✨Communicate Clearly
Since you'll be presenting technical findings to non-technical stakeholders, practice explaining your work in simple terms. Use relatable examples to demonstrate how your insights can influence decisions and drive engagement.
✨Understand 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 during the interview.
