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Data Scientist

Job Reference greggs/TP/5783/51554

Number of Positions:
1
Contract Type:
Permanent
Shift Pattern:
Monday to Friday, however some flexibility may be required depending on business needs
Salary:
Circa £35K per annum, depending on experience
Contract Hours:
Full time
Location:
Newcastle Upon Tyne
Closing Date:
26/11/2025
Job Category:
Head Office
Region / Site:
Head Office
Business Unit:
IT & Business Change

Vacancy Information

We have a fantastic opportunity for a Data Scientist to join the Data & AI team at Greggs.

Greggs is on an exciting journey to become the nation’s favourite food-on-the-go brand. With ambitious plans to double sales and grow to over 3,000 stores in the next five years, we’re driving innovation across our estate, extending trade into evenings, expanding digital convenience, and strengthening customer loyalty. These goals are supported by investment in our supply chain and technology to power a bigger, better business.

Data and Artificial Intelligence are at the heart of this transformation, enabling us to understand customers and make smarter decisions. This is your chance to join our growing Data & AI team as a Data Scientist, where you’ll use advanced analytics and predictive modelling to solve complex challenges, optimise operations, and enhance customer experiences.

We can offer you:

  • 25 days (5 weeks) annual leave, pro-rated, increasing with service (in addition to bank holidays), plus 1 additional floating day

  • Management Bonus Scheme which is worth up to 10% of your salary

  • Profit share: We want everyone to share in the success of the business, so we distribute 10% of our profits to all our colleagues who have at least 6-month service, or more, each year

  • Private Medical Insurance which is free for you and subsidised for your dependants

  • Permanent Health Insurance which is a replacement income scheme

  • You will automatically join our Greggs pension scheme which is a fantastic way to save for your retirement and allows you to benefit from employer contributions and tax advantages

  • Defined contribution management pension scheme

  • Death in service benefit which provides a lump-sum payment equal to 4 times your year’s salary

  • Colleague discount, up to 50% off our own-produced products

  • Share save schemes that let you buy discounted Greggs shares, by saving a set amount of money over a fixed time, to have an even bigger share of our profits

  • Career progression and learning and development

  • Employee Assistance Programme; A free, confidential helpline, offering advice and support with financial, relationship, work-related and wellbeing issues, 24 hours a day, 365 days a year. Including a mobile app providing a range of wellness content on physical, mental, social, and financial wellbeing

  • Perks and savings, such as digital gift card discounts, online cashback, in-store and online coupons and lifestyle offers

  • Cycle to Work scheme

  • A company who cares about our communities; the environment and being a better business! Click here to read about The Greggs Pledge

  • Colleague Networks – internal groups where colleagues and their allies can share their own experiences, offer feedback on the way we do things at Greggs, and provide support to one another

About the role

  • This is a full-time role, however flexibility in this will be considered
  • We know that having a work-life balance is important, so we offer our colleagues as much flexibility as possible in line with the needs of their role
  • The base location for this role is Newcastle Upon Tyne

What you'll do

  • Act as a subject matter expert in machine learning, statistical analysis, and data engineering, ensuring the delivery of high-quality insights
  • Build, validate, and deploy machine learning models to solve business challenges, such as customer segmentation, recommendation engines, and anomaly detection and supply chain optimisation
  • Lead exploratory data analysis, visualization, and storytelling to inform business stakeholders of trends, insights, and actionable recommendations
  • Keep abreast of the latest developments in AI and evaluate applicability in the Greggs context. Make periodic recommendations
  • 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. Develop scalable, maintainable, and explainable models
  • Drive the adoption of cutting-edge data science tools and technologies including Generative AI and LLM’s. Guide the team in using technologies such as Python, R, SQL, Spark, Vertex and cloud-based platforms like or Azure and Databricks

About you

You will fit right into this role if you:

  • Masters or PhD in Mathematics, Statistics, or other highly numerate field
  • Have experience in data science applied in a business environment
  • An emerging track record of successfully deploying machine learning models to drive tangible value in production environments
  • Expertise 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
  • Are supportive of an inclusive culture – recognising and valuing that difference is good
  • Want to develop and are ready to work alongside some great people and have lots of fun on your Greggs journey!

About Greggs

Here at Greggs, we love what we do, and we have fun! What makes Greggs so special is our culture – the way we are, the way we behave and the way we support each other. We're hard-working, but above all else we're family; and it doesn't matter who you are, where you're from or what your favourite bake is, we’d love you to join us! We want everyone to feel welcome at Greggs and our colleagues to be able to be themselves at work, whatever their background, preferences, or views.