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# Data Specialist - Data Scientist

- **Company:** Morrisons
- **Location:** Wellington, UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Agile Methodology, Artificial Intelligence, Amazon Web Services, Big Data, BigQuery, C++ (Programming Language), Cloud Computing, Cloud Database, Computer Programming, Data Governance, Data Infrastructure, Statistical Hypothesis Testing, Python (Programming Language), Logistic Regression, Machine Learning, Natural Language Processing, Raw Data, Standard Sql, Software Engineering, SQL Databases, Google Cloud, Deep Learning, Data Analytics, Looker Analytics
- **Published:** October 27, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-specialist-data-scientist/53894458

## About the Role

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 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 Background: Degree or equivalent background in Mathematics, Physics, Statistics

## Description

More about the roleOur 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. AccountabilitiesCustomerBuild 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, 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 youSkills, Qualifications and ExperienceKey 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