Head of Data Science – Personalisation & Growth

Head of Data Science – Personalisation & Growth

Full-Time 80000 - 88000 Β£ / year (est.) No working from home possible
Stryker Corporation

At a Glance

  • Tasks: Lead a high-performing data science team to enhance personalisation and customer experiences.
  • Company: Marks & Spencer, a leading retail brand focused on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to transforming customer journeys.
  • Why this job: Make a real impact by translating complex ML solutions into business value.
  • Qualifications: Proven experience in data science leadership and strong communication skills.

The predicted salary is between 80000 - 88000 Β£ per year.

Marks & Spencer seeks a senior Data Science leader to drive a high-performing team focused on personalisation and model-driven customer experiences. You will translate complex ML solutions into scalable business value and partner with product, engineering and commercial teams to embed changes across customer journeys.

The role requires strategic thinking, strong communication with technical and business partners, and a pragmatic, commercial mindset to maximise impact and value for customers.

Head of Data Science – Personalisation & Growth employer: Stryker Corporation

Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.

Stryker Corporation

Contact Details:

Stryker Corporation Recruitment Team

We think you need these skills to ace Head of Data Science – Personalisation & Growth

Communication Skills
SQL
Problem-Solving Skills
Python
Data Engineering
Automation
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