National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Demand Planner

Leeds ICD
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Science Lead

Customer Service Coordinator

Sr. Data Scientist / Machine Learning Engineer - GenAI & LLM

Sr. Data Scientist / Machine Learning Engineer - GenAI

Sr. Data Scientist / Machine Learning Engineer - GenAI & LLM...

Demand Forecasting Specialist

Arla Head Office, Leeds, LS10 1AB

Permanent, days-based role (Monday-Friday, 37.5 hours per week)

We are currently seeking a Demand Forecasting Specialist to join our team. This role will provide essential support to our Finnish market and colleagues, whilst working alongside our UK Demand Planning team.

What do we offer?

  • Competitive salary (salary discussed at application stage)

  • 26 days holiday & Bank Holidays

  • Hybrid & flexible working

  • Pension contribution matched up to 6%

  • 4 x annual salary life assurance

  • Free to use onsite Gym

  • Access to discounted products in our Staff Shop

  • People agenda commitment to training and development

  • Flexible Benefits- buy up to 5 days additional annual leave, reward gateway scheme- discounts with various retailers via my benefit platform.

  • Most importantly - Cheese hamper at Christmas!

    How will you make an impact?

    Reporting into the Demand Planning Manager in Finland, this role will play a pivotal part in improving planning efficiency through data analytics and advanced forecasting. Key responsibilities include data assessment, maintaining baseline forecasts, and applying machine learning for accurate forecasting. A deep understanding of demand patterns, product lifecycles, and market trends is essential.

    Further responsibilities include;

  • Maintain master data and planning parameters for demand planning, and ensure data completeness and quality.

  • Review automatic cleansing processes and ensure the final output (cleansed data) is completed in the system.

  • Generate and analyse historical demand performance reports, incorporating relevant actions into future forecasting. Provide initial baseline forecasts for phase-in/phase-out products.

  • Select and manage appropriate statistical models for demand segmentation, and run and adjust statistical baseline forecasts and advanced modelling.

  • Monitor and report on forecasting KPIs, and provide descriptive and diagnostic insights about previous cycle’s forecast performance.

    What will make you successful

    The ideal candidate will have;

  • Strong experience within demand planning and demand planning systems (Experience with SAP IBP is a strong advantage)

  • Excellent data and analytical skills

  • Experience within a fast-paced FMCG environment is preferrable.

  • Technical proficiency

  • Possesses strong collaboration, organisation and teamwork skills

    Would you like to join us?

    If you are enthusiastic about joining our team and meet the qualifications listed above, we would love to hear from you. Please apply as soon as possible as we will process applications on a continuous basis and close the recruitment once the right candidate is found.

    For additional information, please contact Olivia Pine, Talent Acquisition Partner at Arla Foods. The closing date for this position is the 21st April 2025 and only CV’s sent directly via the link will be considered
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.