Data Specialist - Data Scientist
More about the role
Our Data \& Analytics team creates value for Morrisons by making sure we have the right data in the right place, providing access to insight, and delivering advanced capability to answer strategic questions using Data Science and Machine Learning.
Utilising our advanced Google Cloud data platform, the Data Scientist explores complex datasets across our operations from field to fork to build predictive models, optimise processes, and convert raw data into actionable enterprise value. You will combine mathematical rigour, software development, and statistical storytelling to solve business problems, drive performance, and support strategic decision\-making.
Accountabilities
Customer
- Build trusted relationships with internal stakeholders to understand operational context and business priorities.
- Solve complex business problems using applied mathematics, machine learning, and statistical modelling.
- Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs in accessible formats.
- Where required, develop agile proofs\-of\-concept (POCs) to showcase potential solutions to stakeholders.
Colleague
- Champion data literacy and the benefits of data science approaches across the organisation.
- Mentor squad members in technical concepts such as programming, code structure, and statistical validation.
- Embody a fast, value\-driven turnaround culture for smaller analytical requests that unlock immediate operational impact.
Cash \& Profit
- Focus all modelling efforts on driving commercial returns, supporting EBITDA improvement through sales growth, waste reduction, and efficiency gains.
- Maintain a lean working approach by writing efficient, scalable code that minimises cloud compute overheads in GCP.
Operational
- Extract, manipulate, profile, and transform structured and unstructured data using state\-of\-the\-art facilities in Google Cloud Platform.
- Design, build, test, and productionise machine learning models (e.g., sales and waste forecasting, customer segmentation, recommendation engines).
- Build feature sets and establish reusable data science pipelines and validation checks.
- Apply causal inference and experimental frameworks (A/B testing) to isolate true business impacts from baseline operational noise.
- Uphold strict compliance with data governance, privacy legislation, and ethical AI frameworks.
More about you
Skills, Qualifications and Experience
Key Skills \& Experience:
- Programming \& Development: Strong programming capabilities in Python or R (or transferable languages such as SQL, Java, C\+\+) with proficiency in writing clean, tested, and maintainable code.
- Applied Maths \& Statistics: Deep knowledge of descriptive and inferential statistics, hypothesis testing, univariate analysis, and probability distributions.
- Machine Learning \& Predictive Modelling: Experience building, validating, and productionising machine learning models (e.g., linear/logistic regression, time\-series forecasting, decision trees).
- Advanced SQL: Excellent SQL skills to extract, transform, and profile large\-scale datasets from cloud data marts.
- Causal Inference \& Experimentation: Understanding of experimental design and causal inference methods to measure true trial interventions versus background trends.
- Data Storytelling \& Visualisation: Ability to translate complex algorithmic outputs into clear visual stories, dashboards (e.g., Looker), and executive recommendations.
- Data Ethics \& Privacy: Understanding of ethical data usage, privacy standards, and bias mitigation in statistical modelling.
- Delivery Frameworks: Practical experience working within Agile or Waterfall delivery methodologies and scoping Minimum Viable Products (MVPs).
Desirable:
- Cloud Platforms: Hands\-on experience deploying data science solutions on Google Cloud Platform (BigQuery, Vertex AI, GCP storage) or AWS/Azure.
- Advanced Data Science Techniques: Exposure to advanced methods such as Natural Language Processing (NLP), deep learning, or mathematical optimisation.
- Academic Background: Degree or equivalent background in Mathematics, Physics, Statistics, Engineering, Computer Science, or a related quantitative field.
- Domain Experience: Experience working within FMCG, retail, manufacturing, supply chain, or logistics environments.
More about our perks
In return for all your hard work, you will receive:
- 15% discount in store from the day you join us
- Additional 10% discount card for a friend or family member
- Annual bonus scheme
- Career progression and development opportunities
- Generous holiday entitlement
- Market leading pension scheme and life assurance
- Healthcare benefits including Aviva Digital GP
- ‘MyPerks’ giving you discount with over 850 retailers
- Free parking onsite
- Enhanced Family, Maternity and Paternity Leave
- Private Healthcare
At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues.
There’s more to our business as it’s fast paced and ever changing, as such we’ve got lots of fresh opportunities for you to play your part in our success. We’d love to meet you!
*At Morrisons, we’re proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that’s good for our customers too.**We’re always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.*
Our Process
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We've outlined below what our typical process looks like, this can vary slightly depending upon the role or team you've applied for. Our goal is to provide a positive and accessible experience for all applicants, ensuring everyone has the support they need to showcase their best selves.
Our resourcing team are on hand to help with any questions about your application and you can reach them by e\-mailing resourcing@morrisonsplc.co.uk.
- 1
Find an opportunity that's right for you
Once you've found a role that's right for you, you can apply via this site. If it's your first time applying with us then we'll need all your essential information and we might ask you to upload your most recent CV. If you've applied for roles with us before then we should recognise you and you won't need to share these details again, unless something has changed that you need to update us on.
- 2
Online Assessment (Customer Assistant roles)
After your application, we might send you an e\-mail and ask you to complete an online assessment. This is typically a situation judgement test where we'll ask you ten questions with mutliple choice answers and takes around 10\-15 minutes to complete. The questions will give you a feel for the types of scenarios you might encounter working in our stores \- think customer first.
- 3
Let's find out more
For some of our stores and site roles, if you've been successful with your application we might just e\-mail and ask you to book a slot for your interview. For other roles our resourcing team will get in touch with you to find out a bit more about you and why you applied. They'll also answer any questions you might have about us and the role. After all, it's a two way process!
- 4
Interview
Our interviews are typically face to face but can sometimes be virtual. Don't worry, we'll advise either way. Your interview can differ depending on the role or team. Part of the interview may include some competency questions against our Ways of Working (listed below).
- 5
Final Stage
With some of our roles there might be a second interveiw. This tends to be for roles in our Head Office and some salaried positions across our stores and sites. As part of this second stage, we might ask you to complete a task, such as a SWOT analysis or something similar, and present it back during the interview. This helps us understand your approach and thinking about the role.
- 6
Decision
Our resourcing team or the store or site you've applied to will be in touch with you as soon as they can to let you know the outcome. If you've been successful we'll share the details of our offer with you and follow up with everything you need on e\-mail.
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