Data Scientist Lead

3 weeks ago


Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom Greggs Full time

About the Opportunity

We are seeking a skilled Data Scientist to join our team at Greggs. As a leading bakery and food retailer, we are committed to delivering exceptional customer experiences and driving business growth through data-driven insights.

This full-time role offers a competitive salary of £65,000 per annum, plus benefits, and is based in Newcastle Upon Tyne. We offer flexibility in working hours to maintain a healthy work-life balance.

The ideal candidate will have experience in data science applied in a business environment, with a strong track record of deploying machine learning models to drive tangible value in production environments.

Key Responsibilities:

  • Leverage data-driven insights to address complex business problems, optimise processes, and develop predictive models to enhance customer experience, product development, and operational efficiency.
  • Partner with product teams, marketing, and engineering to understand business needs and prioritise data science initiatives accordingly.
  • Develop pipelines for monitoring model performance and implementing necessary updates to ensure long-term accuracy and relevance.
  • Ensure the team follows best practices in data privacy, security, and ethical use of AI and machine learning algorithms.

Requirements

To be successful in this role, you will need:

  • Experience in machine learning algorithms, statistical modelling, and data analytics.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Familiarity with data visualization tools (Tableau, Power BI, etc.).
  • Good communication skills with the ability to present complex data insights to non-technical stakeholders and explain the commercial value.

About Us

Greggs is a company that loves what it does and has fun while doing it. Our culture is built on supporting each other, and we strive to create an inclusive and collaborative environment for all employees.


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