Data Scientist

2 weeks ago

London, United Kingdom DataTech Analytics Full time

Description

Data Scientist
Salary negotiable to £55,000 DoE
Location - Location - Virtually remote working with c1 day a month self-funded into the Southampton offices
J12747

Role Purpose:

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 varied group of stakeholders to drive up the understanding of customers across the organisation, helping to shape our 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, MarketPlace 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.

Key Business Relationships

·Customer & Digital function
·Commercial function
·Strategy & Development function
·Finance
·Retail Leadership Team

Required Skills & Experience:

You've working knowledge 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.
·You've had some experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc.
·Proven experience of working with customer data.
·You've a strong commitment to accuracy and rigour in the analysis produced.
·You are empathetic to the importance of Data Governance and good Data Quality.
·You have a strong attention detail and are willing to take the time to ensure the accuracy of your work.
·You've used Jira/Confluence before for managing workloads and documentation.
·You're curious: about how things work and getting to the bottom of business problems and data nuances.
·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've 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.

If you would like to work in a collaborative, fast paced, encouraging and future thinking environment, where you're empowered to be creative and drive performance… then this could be your next role. Apply today

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:

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