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Senior Data Scientist

Job in London, Greater London, W1B, England, UK
Listing for: Royal Mail
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
​Senior Data Scientist Royal Mail Farringdon Permanent, Full time Salary & Benefits Competitive salary Plus:
• Car allowance
• Healthcare
• Up to 18% annual bonus potential
• 25 days annual leave plus bank holidays rising with service
• Pension: access to the UK’s only Collective Defined Contribution scheme with industry-leading Royal Mail contributions of over 12%, flexible options to boost your savings, and a guaranteed retirement lump sum
* Senior Data Scientist At Royal Mail, we're delivering transformation  one of the UK's most recognised and complex organisations, we're using data, advanced analytics and AI to improve operations, enhance customer experience and unlock new growth opportunities.

We're looking for a Senior Data Scientist to join our Data Insights team and play a leading role in solving some of our most important business challenges. You'll work on high-impact projects across the organisation, applying machine learning, optimisation, statistics and AI techniques to drive smarter decision-making and measurable business outcomes.

This is an opportunity to work with large-scale datasets, cutting-edge technologies and a wide variety of real-world problems while influencing decisions across a national business.

What You'll Be Doing Leading the design and delivery of data science solutions that create measurable business value.

Working with complex datasets to uncover insights, identify opportunities and support strategic decision-making.

Applying machine learning, statistical modelling, optimisation and AI techniques to solve business challenges.

Designing and evaluating experiments, testing hypotheses and generating evidence-based recommendations.

Developing proof-of-concepts and ensuring successful handover into production and operational teams.

Communicating findings and recommendations to both technical and non-technical stakeholders.

Contributing to data science best practices, innovation and continuous improvement across the function.

Representing Royal Mail's data science capability through presentations, reports, publications and knowledge sharing.

About You We're looking for someone who combines strong technical expertise with commercial thinking and the ability to influence stakeholders.

You'll bring:

A Master's degree, or equivalent practical experience, in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, Physics or Engineering.

Proven experience delivering end-to-end data science solutions from exploration through to deployment and monitoring.

Strong knowledge of statistical modelling, machine learning and optimisation techniques.

Experience using AI technologies and modern foundation models to solve business problems or improve workflows.

Expertise in Python and commonly used data science and machine learning libraries.

Strong SQL skills.

Experience working with cloud platforms such as Azure, AWS or GCP.Knowledge of software engineering and reproducible data science practices, including version control, testing and experiment tracking.

Excellent communication skills, with the ability to translate complex concepts into meaningful business insights.

Why Join Royal Mail?

Work on complex challenges at national scale.

Influence decisions across one of the UK's largest organisations.

Apply cutting-edge AI, machine learning and analytics techniques to real business problems.

Collaborate with talented data scientists, analysts, engineers and business  part of a business investing heavily in data-driven transformation.

If you're passionate about using data, statistics and AI to solve meaningful business problems and want to see your work drive tangible outcomes, we'd love to hear from you.

Apply now and help shape the future of data-driven decision…
Position Requirements
10+ Years work experience
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