Data Science Lead for AI & Business Impact

Royal Mail; Greater London; Vor Ort; GBP 110.000 - 140.000; Vollzeit

Benefits dieser Stelle

Car allowance

Healthcare

Up to 18% annual bonus potential

25 days annual leave + bank holidays

Pension - CDC scheme with 12%+ contrib

Flexible options to boost savings

Guaranteed retirement lump sum

Zusammenfassung

Royal Mail is transforming with data, analytics and AI to enhance customer experience and operations. We seek a Lead Data Scientist to provide technical leadership across the Data Science capability, shaping machine learning, forecasting, optimisation and AI applications across the business.

This highly influential role blends hands-on delivery with leadership, mentoring Data Scientists and driving best practices.

Qualifikationen

• Experience delivering advanced analytics, ML and optimisation solutions.
• Strong skills in statistical modelling and experimental design.
• Advanced Python and SQL skills.
• Experience leading Data Science initiatives and mentoring teams.

Aufgaben

• Lead design and delivery of advanced Data Science, ML and AI solutions.
• Provide technical leadership, coaching and mentoring to Data Scientists.
• Drive adoption of Data Science best practices and modern ways of working.
• Collaborate with Data Engineers, ML Engineers and Tech teams to build scalable solutions.
• Partner with stakeholders to identify opportunities and shape data-driven approaches.
• Oversee solution quality, methodology and delivery across DS portfolio.
• Support recruitment, capability development and growth of the DS function.

Kenntnisse

Python

SQL

Statistical modelling

Machine learning

Experiment design

Stakeholder management

Cloud analytics platforms

Jobbeschreibung

Royal Mail is transforming with data, analytics and AI to enhance customer experience and operations. We seek a Lead Data Scientist to provide technical leadership across the Data Science capability, shaping machine learning, forecasting, optimisation and AI applications across the business.

This highly influential role blends hands-on delivery with leadership, mentoring Data Scientists and driving best practices.