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

Nominate & Attend

Forecasting Demand Planner

Airmyn
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Demand Planning Manager

Senior Data Scientist - Forecasting

[15h Left] Senior Data Scientist - Forecasting...

Data Engineer (Senior)

FORECASTING DEMAND PLANNER / DATA ANALYST

Location: Goole

Pay rate: £14.40 - £15.86/hr (equivalent to £(phone number removed)/annum) - negotiable

Type of role: contract (with an opportunity of role to become permanent with 6-12 months)

About Company

Our client is a prominent railway infrastructure company committed to excellence in the rail industry. We are currently seeking a highly organized and detail-oriented Forecasting Demand Planner/Data Analyst to join our team. In this critical role, you will be responsible for ensuring that the Forecasting team achieve the objectives required by the business, develop relationships with the across teams, supporting and ensuring communication flow is maintained, accurate and timely as well as working across teams to understand Inventory Management systems and processes used by the business areas.

Key Responsibilities

Materials Planning and Forecasting:

Work across teams to understand Inventory Management systems and processes used by the business areas.
Complete all the daily, weekly and monthly tasks.
Ownership of forecasts and effective management.
Ensure optimum stock holding and order policies are set.
Responsible for ensuring necessary escalation, root cause analysis and resolution processes are in place and supported by the full engagement of all key stakeholder(s).
Gather data from a variety of sources. Assess, interpret, and analyse the data in development of a thorough, accurate, and supportable demand forecast. Analytic skills must include the ability to see the big picture and the demonstration of strong business intuition.
Drive continuous improvement in forecasting process and methodology. Work with internal and external parties to leverage capabilities of ERP system and other planning tools. Direct the utilization of forecasting methods and software tools to deliver and monitor forecast accuracy. Continually seek, report, evaluate, and make recommendations to leadership to improve forecasting, planning and budgeting processes.
Carry out other duties, responsibilities, and projects as assigned, in an effective manner.
Health, Safety & Environment:

Understand, implement and comply with the HSWE policies.  
Fully participate and engage in behavioural safety agenda to ensure you work safely.
Take reasonable care to avoid acts or omissions that may have an environmental impact.
Accept personal responsibility to take care of ourselves and any others affected by one’s own acts or omissions.
Experience & Qualifications

Essential:

High level of data analysis and problem solving skills
A team player
Self-motivated.
Knowledge of inventory management principles.
Ability to communicate and confidently present at various levels.
IT literate with excellent numeracy skills.
Capable in the use of MS Office Suite, or Equivalent systems.
Excellent problem solving skills, knowledge of problem solving tools.
Good business and commercial awareness.
Work in a safe manner, taking reasonable care for the health and safety of yourself and other people at work, following appropriate Health and Safety guidance, training and company rules and procedures as appropriate.
Preferred:

Experience of evaluating and correcting Forecast exceptions
Capable in the use of data analysis
Knowledge of evaluating and setting service levels in a forecasting system 
How to Apply

This is an excellent opportunity to join a market leader so if you're interested in being considered please apply for the role or contact Tomasz at Morson Talent by send an email to

LMIND

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

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

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.