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Job Title: Data Scientist Demand Forecasting and Inventory Management
Location: Remote based in Portugal with potential onsite presence for onboarding in London/UK.
PTC Group is looking for a Data Science specialist to join our partner a leader in the Telecommunications sector to help them build cuttingedge applications.
The project is a cloud based ELT decision intelligence platform that specialises in taking data from various sources transforming cleaning visualising and serving it to customers to provide significant business value. The company brings expertise in data warehousing cleaning transformation visualisation data science and focuses on building out of the box solutions one of which is in the area of Demand Forecasting and Inventory Management (Inventory Optimisation).
Required skills / experience:
Multiple years of experience in building data science models in the areas of demand forecasting and inventory optimisation. Experience in solving demand forecasting and inventory optimisation problems in ecommerce travel or manufacturing / supply chain businesses (ideally more than one of the above).
Candidates should be familiar with the different steps of the process (data preparation data cleaning model building model tuning). There is stronger emphasis in this role on the data science modelling and tuning portion.
Candidates should have worked on multiple client based projects in this area and not just have theoretical experience. In particular they should have been responsible for producing a delivering an initial output and working with the client on iterations of that output based on their feedback.
Dealing with client projects that involve a large number of SKUs and suppliers with multiple interdependencies and constraints.
Timeseries based modelling with a goal of long term forecasting into the future
Timeseries based feature engineering approaches with a goal of long term forecasting into the future
Combining standard approaches with custom optimisation models tailored to specific business models and KPI requirements. Familiar with standard models and best practice. Knows how to balance using a standard repeatable approach with the need to build something custom.
Proficiency in programming languages SQL and Python
Productionising of code to enable efficient modelling of big data
Ability to work independently and collaborate effectively within a team
Responsibilities:
Understand business requirements and objectives
Build data science models (demand forecasting inventory optimisation) using a mix of standard and custom modelling techniques
Be able to adapt and improve existing demand forecasting and inventory management (inventory optimisation) models that the company already has
Continuously adjust data science models to deliver higher accuracy
Produce documentation on your approach
Deliver client facing output and iterate on it based on client feedback
Remote Work :
No
Full Time