Company Description
As a Data Scientist you will provide specialised support to the digital teams, delivering advanced data science solutions (predictive statistical models, behavioural customer segmentations, AI / ML decision engines and more) that drive demonstrable customer and commercial value.
Join us at Greene King the country's leading pub company and brewer, where our mission is to pour happiness into lives and become the pride of great British hospitality. We have something special, deeply rooted in our 220-year brewing and pub history, creating the business we are proudly known for today. Still today our 39,000 strong team are the guardians of what’s wholly British, the pub experience.
Additional Information
We’re all about rewarding our team’s hard work, that’s why…
You’ll receive a competitive salary, pension contribution as well as:
1. The chance to further your career across our well-known brands – as one of the industry's top apprenticeship providers, we can provide training and development at each level of your career.
2. Discount of 33% for you and 15% for your loved ones on all of our brands – so you enjoy your favourite food and drink at a discount.
3. Free employee assistance program – mental health, well-being, financial, and legal support because you matter!
4. Discount of 50% for you and 25% for your loved ones at our Greene King Inns and hotels. – so you can enjoy a weekend away without breaking the bank.
5. Refer a friend – who do you know who could be interested in a new role? When they are placed, you could earn £1,500 for referring them!
6. Wagestream – access your wage before payday for when life happens.
7. Retail discounts – Receive up to 30% off at Superdrug, exclusive discounts with three mobile along with many more…
Job Description
This advert will close on Friday 22nd November 2024
This role is Manager (M2) Career Band
Your role as Data Scientist
8. Create and own the data science roadmap ensuring delivery of demonstrable value to Greene King.
9. Develop a suite of data science solutions from predictive statistical models to customer segmentations to AI / ML decision engines in order to meet business requirements and ensure a move towards data led operational decisions.
10. Own the data science environment and tools driving constant development and enhancement to these.
11. Own processes for continued monitoring and assessment of data science solutions to ensure the continued accuracy and effectiveness of these.
12. Act as a key contributor to the valuation of all digital activities and attribution of sales value through techniques such as econometrics.
13. Ensure stories are told from the data science solutions which remove the complexity and ensure optimal value generation through business adoption, whilst also promoting the analytics team and its outputs.
14. Business partner with CRM and Product teams to ensure business requirements relating to data science are fully understood and solutions can be implemented effectively.
15. Business partner with wider business teams e.g. IT, people analytics, finance, etc. to create a single data science forum and community across Greene King.
16. Manage the data science team of highly skilled junior data scientists ensuring optimal work delivery and employee satisfaction.
17. Act as a data steward to review and optimise the data quality across the digital landscape
What you’ll bring…
18. Significant experience in data science related roles.
19. Expert in Python.
20. Expert in SQL and other coding languages and platforms.
21. Expert in statistical modelling and relevant software / platforms.
22. Proficient with A/B and control group testing including significance testing.
23. Experience with tools such as Power BI and Looker for data visualisation.
24. Experience in a fast-paced multi-brand industry.
25. Strong stakeholder management experience at various levels of an organisation.
26. Proven ability to solve complex problems using data but translate these into easy to understand / digest outputs.
27. Excellent written and verbal communication skills with the ability to effectively communicate complex and technical subject matter to non-specialists.
28. Proven ability to spot trends and patterns within data and drive commercial impact / benefit from these.
29. Expert in Microsoft tools including Excel and Powerpoint.
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