Category Manager

Greys Green
2 weeks ago
Applications closed

Related Jobs

View all jobs

National Account Manager

Consumer Data Manager

Senior Buyer

Buyer

Buyer

Buyer

They are a market innovator, who offer a progressive and rewarding opportunity. So if you're looking for a new challenge in a growing company with fantastic benefits and culture to match - then please apply!
 
What's in it for you

Private Medical
Hybrid Working
Private Dental
Bonus Scheme
Enhanced Pension
Life Assurance
25 days holiday with the option to buy more!
Well-being Events
High-Street Discounts Key Responsibilities

Foster strong relationships with both internal and external customer teams to better understand their needs, motivations, and goals, helping to align business objectives.
Play a key role in the range planning process, ensuring alignment with broader business strategies.
Build and maintain relationships with other grocery retailer teams, both internally and externally, to gain insights into their needs, motivations, and business goals.
Take the lead in shaping, developing, and implementing The Company’s Category Vision within the organization, promoting a 'Category-First' approach across teams.
Empower our commercial teams to access and utilize ad-hoc data, encouraging a broader perspective on success beyond The Company.
Ensure that qualitative insights from our (Friends) research go beyond the brand, complemented by continuous quantitative data sources for a comprehensive view.
Provide ad-hoc support for NPD projects, focusing on ROS, Distribution, and Category insights.   
Experience Required

To embrace, embody, and exude all that is special and unique about The Company.
Ideally if you have experience using the following Nielsen Answers, IRI Plussuite, i2C, Kantar, Space Planning
Experience of building relationships with the top four supermarkets.
An understanding of Category Fundamentals vs Management vs Leadership.
Proactive ‘do-er’, keen to be involved in the success of the team.
Ability to thrive in an entrepreneurial, fast-paced environment.
Relationship-building skills – getting the best out of others to achieve the plan.
The ability to influence others through your flexible style.
Great communication skills.
A results-focused mindset with the ability to “never give up” and find solutions to challenges.
Experience in online retailing.
Passionate about systems with the ability to utilize technology for continuous improvement.
Passion for the brand and what The Company stands for – improving lives through healthy relationships with food

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.