Data Scientist
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Added before 2 Days
- England,South East,Hampshire
- full-time
- £60,000 - £70,000 per annum
Job Description:
Customer Data Manager
Retail
£60,000 - £70,000
London | Hampshire - 2 days a month
The Company:
A SUPER established UK retailer is looking for a Customer Data Manager to join their digital and data transformation efforts. With substantial investment in their data and analytics team, this position will play a crucial role in building a foundation for accurate and reliable datasets.
This role is a newly created role so this is a roll your sleeves up opportunity where you can really see the impacts of your actions.
Ideally, you’ll be well versed with large amounts of customer data.
The Role:
*Under the guidance of the team’s data manager, create new models and enhance existing ones to analyse customer behavior. This may include churn models, time series forecasting, customer base value assessments, and other specialises, targeted models.
*Contribute to develop new and improve existing customer features that can used in marketing activity and across the business, to both help target and describe customers.
*Deliver complex descriptive and predictive customer behavioural analytics.
Requirements:
*You have working knowledge in either Python or R with a strong ability to use SQL.
*You have excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application.
*You have had some experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc.
*You have experience applying machine learning and statistical techniques to solve real-world problems - You can use tools such as TensorFlow, PyTorch, Scikit-learn, and Keras to build, train, and evaluate various machine learning models such as customer churn prediction, customer lifetime value estimation, customer segmentation, and recommendation systems.
Benefits:
*VERY Hybrid working environment - 2 days in the office a month
*Progression opportunities
*Strong pension and bonus package
Looking for top data and analytics talent? Contact us to learn more about our recruitment services.
Retail
£60,000 - £70,000
London | Hampshire - 2 days a month
The Company:
A SUPER established UK retailer is looking for a Customer Data Manager to join their digital and data transformation efforts. With substantial investment in their data and analytics team, this position will play a crucial role in building a foundation for accurate and reliable datasets.
This role is a newly created role so this is a roll your sleeves up opportunity where you can really see the impacts of your actions.
Ideally, you’ll be well versed with large amounts of customer data.
The Role:
*Under the guidance of the team’s data manager, create new models and enhance existing ones to analyse customer behavior. This may include churn models, time series forecasting, customer base value assessments, and other specialises, targeted models.
*Contribute to develop new and improve existing customer features that can used in marketing activity and across the business, to both help target and describe customers.
*Deliver complex descriptive and predictive customer behavioural analytics.
Requirements:
*You have working knowledge in either Python or R with a strong ability to use SQL.
*You have excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application.
*You have had some experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc.
*You have experience applying machine learning and statistical techniques to solve real-world problems - You can use tools such as TensorFlow, PyTorch, Scikit-learn, and Keras to build, train, and evaluate various machine learning models such as customer churn prediction, customer lifetime value estimation, customer segmentation, and recommendation systems.
Benefits:
*VERY Hybrid working environment - 2 days in the office a month
*Progression opportunities
*Strong pension and bonus package
Looking for top data and analytics talent? Contact us to learn more about our recruitment services.
Job number 1675256