Data Scientist (Retail Customer Data)
Salary £45,000 to £55,000 Dependent on Experience
Location - Virtually remote working with 2 days a month self-funded into the Hampshire offices
Ref: J12892

Working within the Analytics and Data Science team, under the leadership of the Data Science Manager, the Data Scientist will work to produce complex data science models and analytical projects. You will interact with a variety of stakeholders and business functions to drive up the understanding of customers across the organisation, helping to shape the Company's future strategies, improve customer experience, deepen engagement, drive revenue, and improve business efficiencies.

Key Accountabilities / Responsibilities:

·Develop new and improve existing models of customer behaviour under the direction of the data manager within the team. Be that churn models, time series forecast models, value assessment of the customer base or other more specific and target models.
·Contribute to develop new and improve existing segmentations that can used in marketing activity and across the business, to both help target and describe customers.
·Deploy models into production so they can be consumed by other analytical teams across the business.
·Deliver complex descriptive and predictive customer behavioural analytics.
·Bring external thinking to the Company by maintaining an awareness of analytics usage in retail and other sectors and by keeping abreast of competitor technology and developments.
·Support the growth of new channels, Services, Digital, Market Place and Retail Media through the use of Next Best Offer engines and other models and segmentations.
·Build relationships with key stakeholders from across the business, with the Data Science Manager, helping to translate their ambitions and goals into data science products.

Required Skills & Experience:

·Proven experience of working with retail customer data.
·Experience in either Python or R with a strong ability to use SQL.
·You've excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application.
·Experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc is advantageous
·Understand the importance of Data Governance and good Data Quality.
·Strong attention to detail and willingness to take the time to ensure the accuracy of your work.
·Experience of using Jira/Confluence for managing workloads and documentation.
·You understand and maximise the value of analysis and data science, and act with a commercial lens, prioritising the actions and usefulness of outputs.
·You're a good storyteller who can bring that value to others - you know numbers don't always speak for themselves and have excellent visuals to support.
·You have an awareness and understanding of technology and trends in Data Science and Analytics.

Additional Requirements:

Candidates must have an existing right to live and work in the UK.

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