time left to apply End Date: February 14, 2025 (30+ days left to apply)
job requisition id R-9065
About the role
You will contribute to the Group R&D Next Generation Department agenda by leading the research and development of modelling and simulation techniques, and the application of such techniques into innovative industry 4.0 solutions. Key responsibilities:
Engage with internal divisional stakeholders, DSSW, and Group I&T to develop innovative industry 4.0 solutions for DS Smith-specific needs. Build an R&D modelling and simulation platform to be applied to ongoing projects and new project opportunities across the business. Collaborate with the Digital & Data Hub to set up an MLOps environment and automated pipelines for model tuning and testing. Using the DS Smith Delivery Framework, proactively manage project workstreams by building strong and engaged teams, maintaining project documentation, and holding regular & concise reviews. Provide actionable and value-adding recommendations, as well as new project ideas based on data advanced analytics. Assist the Operations Teams in the development and execution of project trials through the R&D lifecycle. Collaborate with the Production and Operational Excellence Teams in identifying opportunities for the application of innovative Industry 4.0 solutions. Partner with external suppliers, research institutes, and universities in scouting state-of-the-art modelling and simulation techniques and applying them to new R&D project ideas. About you
Practical Machine Learning experience with a focus on supervised and unsupervised learning. Strong knowledge of Github and Python, understanding on how to run scripts. Experience in data preparation, statistical methods and operations research. Preferable experience in smart manufacturing. Ability to translate use cases into models. STEM Masters, Data Science Masters, Applied Mathematics Masters, Computer Science Master’s or similar. About us
DS Smith are a leading provider of sustainable packaging solutions, paper products and recycling services in more than 30 different countries. It’s a very exciting time to join, as we have committed to investing in our future across our strategic growth enablers within Innovation (R&D), Sustainability and Digital & Data. To fulfil our purpose of redefining packaging for a changing world, we aim to build a diverse, motivated, and engaged workforce. Our goal is to create a culture of inclusion where everyone is treated fairly, differences are valued, and everyone has an equal opportunity to succeed. Our people come from diverse backgrounds, bring different perspectives, ideas and experiences to generate unique solutions focused on present and future sustainability challenges. We welcome all candidates to apply, even those not meeting all criteria.
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You will contribute to the Group R&D Next Generation Department agenda by leading the research and development of modelling and simulation techniques, and the application of such techniques into innovative industry 4.0 solutions. Key responsibilities:
Engage with internal divisional stakeholders, DSSW, and Group I&T to develop innovative industry 4.0 solutions for DS Smith-specific needs. Build an R&D modelling and simulation platform to be applied to ongoing projects and new project opportunities across the business. Collaborate with the Digital & Data Hub to set up an MLOps environment and automated pipelines for model tuning and testing. Using the DS Smith Delivery Framework, proactively manage project workstreams by building strong and engaged teams, maintaining project documentation, and holding regular & concise reviews. Provide actionable and value-adding recommendations, as well as new project ideas based on data advanced analytics. Assist the Operations Teams in the development and execution of project trials through the R&D lifecycle. Collaborate with the Production and Operational Excellence Teams in identifying opportunities for the application of innovative Industry 4.0 solutions. Partner with external suppliers, research institutes, and universities in scouting state-of-the-art modelling and simulation techniques and applying them to new R&D project ideas. About you
Practical Machine Learning experience with a focus on supervised and unsupervised learning. Strong knowledge of Github and Python, understanding on how to run scripts. Experience in data preparation, statistical methods and operations research. Preferable experience in smart manufacturing. Ability to translate use cases into models. STEM Masters, Data Science Masters, Applied Mathematics Masters, Computer Science Master’s or similar. About us
DS Smith are a leading provider of sustainable packaging solutions, paper products and recycling services in more than 30 different countries. It’s a very exciting time to join, as we have committed to investing in our future across our strategic growth enablers within Innovation (R&D), Sustainability and Digital & Data. To fulfil our purpose of redefining packaging for a changing world, we aim to build a diverse, motivated, and engaged workforce. Our goal is to create a culture of inclusion where everyone is treated fairly, differences are valued, and everyone has an equal opportunity to succeed. Our people come from diverse backgrounds, bring different perspectives, ideas and experiences to generate unique solutions focused on present and future sustainability challenges. We welcome all candidates to apply, even those not meeting all criteria.
#J-18808-Ljbffr
