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# Data Scientist (Tesco Mobile)

- **Company:** Tesco PLC
- **Location:** Slough, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Databases, Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Pyspark, Scikit Learn
- **Published:** June 7, 2026
- **Apply:** https://www.careerjet.co.uk/jobad/gb0de455402f74a52a3fa2fc4523ffd65d

## About the Role

We're looking for someone who's eager to learn, enjoys working with others, and can turn data into clear, meaningful stories.
Key skills and experience:

 * Experience with Python, SQL, and scikit-learn, plus basic PySpark knowledge
 * Understanding of database systems and data handling
 * Familiarity with full machine learning lifecycles (deployment experience is a bonus)
 * Strong coding practices, including testing and optimisation
 * Ability to turn ambiguous questions into structured, solvable problems (with support)
 * Confident communicator-able to explain ideas clearly to non-technical audiences
 * Strong listening skills and a collaborative mindset
 * PhD, Masters or Bachelors Degree within a Data Science field or similar

You'll thrive if you also:

 * Take initiative in your learning and development
 * Enjoy giving and receiving constructive feedback
 * Are curious about improving models, processes, and outcomes

## Description

At Tesco Mobile, we believe data has the power to make everyday experiences simpler, smarter, and more meaningful for our customers. We're looking for a Data Scientist who's curious, collaborative, and ready to make a real impact from day one.
If you enjoy solving business challenges with data-and want to grow your skills in a supportive, inclusive environment-this could be your next opportunity.
This is a hands-on position where your analytical thinking will directly shape business decisions and improve customer experiences. From personalised communications to smarter stock management, your work will help us deliver better outcomes for millions of customers.
You'll tackle a variety of challenges, such as:

 * Enhancing marketing effectiveness
 * Maximising customer lifetime value
 * Reducing customer churn
 * Supporting smarter stock and demand decisions


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