Commercial Planning Manager- 2 Mth contract - Inside IR35 - Remote

Commercial Planning Manager

Role:

This role is responsible for the complete re-development of the existing planning models that will enable business unit to transform the way commercial decisions are made delivering significantly better customer and business outcomes.
Work together with business stakeholders to define the purpose and structure of predictive Data Science models
Develop and operate Machine Learning tools and predictive models, using XGBoost, Tensorflow and more, both on-premises and on AWS/Google Cloud Platform
Identify the appropriate data sources, create new data features and engineer the raw data to model input pipeline
Maintain and evaluate models, implement Control Groups and A/B testing regimes to estimate the value of the models for the business and communicate the results to the relevant stakeholders
Identify new opportunities to add value to the business through the application of Data Science, Machine Learning and AI techniques
Nurture strong stakeholder relationships to help build up a good understanding of their business areas

Skills

Experience in developing Data Science tools using coding in Python (including functions, pandas and sklearn pipelines) and SQL
Experience with using open-source Machine Learning frameworks such as XGboost, scikit-learn and TensorFlow
Experience in presenting complex problems to a non-technical audience using plain language
Ability to build well-rounded predictive models using common ML frameworks such as XGBoost, scikit-learn and TensorFlow
Ability to deploy Machine Learning models on Cloud Platforms such as AWS and GCP
Ability to explain ML solutions in simple terms for non-technical stakeholders
Able to communicate and present complex data problems effectively to influence key business decisions
Able to wrangle and cleanse data
Able to work well in a team, to create strong and trusting stakeholder relationships, and to collaborate across the business
Interested in continuously developing skills in the areas of Data Science, Machine Learning, AI and Cloud.

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