Job description

Salary: £30,000-£40,000
Location: Derby About This is an incredible opportunity to work with a leading, global provider of innovative supply chain solutions. They are looking for a Data scientist to work in a team to deliver world class forecasting and inventory management solutions utilising advanced analytics and Machine Learning. Main responsibilities: Lead Multiple Data Science projects from initial problem statement formulation, data exploration and transformation to application of ML algorithms, integrating with existing business processes and systems in a live environment. Duties involve: Providing Data science-based solutions to business problems of varying complexity.

Apply Data science, Machine Learning concepts and python development skills to develop Ml models in diverse business domains such as Sales, Forecasting/Planning, Operational Optimisation and Supply Chain Improvements. Maintain and continuously enhance their Machine Learning Platform, including the extension of forecasting to other business units tackle business issues that require the application of advanced analytics. Essential skills and experience: Hold a Degree qualification with numerical content or equivalent Proven experience in management the full life cycle of projects in Data Science & machine learning Broad knowledge of multiple machine learning frameworks & algorithms Intermediate level software development skills in Python for data science using best practice quality guidelines Strong analytical skills with accuracy and attention to detail Ability to demonstrator stakeholder management and leadership skills Experience in supply chain and/or logistics environment Cloud based computing environment

To find out more about this opportunity then please apply with your up to date CV to Kiera Rance. 83DATA Limited is a boutique consultancy specialising in Data Science ML, AI, Big Data | Agile Software Development | Project Management within the UK. We provide high quality interim and permanent senior DATA and Tech professionals

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