Demand Planner

Leeds ICD
1 month ago
Applications closed

Related Jobs

View all jobs

AI Expert / Machine Learning Engineer

Data Scientist

Data Scientist

Data Scientist

Data Science Manager

Senior Data Scientist

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

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.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.