Data Scientist: Scale ML for Loyalty & Growth in Knowsley

Data Scientist: Scale ML for Loyalty & Growth in Knowsley

Knowsley Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Harnham

At a Glance

  • Tasks: Develop and deploy ML models to boost customer engagement and drive growth.
  • Company: Join a major UK retailer with a focus on data-driven success.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make a real impact by scaling Data Science across the organisation.
  • Qualifications: Experience in Data Science and machine learning is essential.

The predicted salary is between 40000 - 50000 £ per year.

Harnham, a leading data talent specialist, is supporting a major UK retailer with a Mid-Level Data Scientist role.

You will develop and deploy ML models that directly influence customer engagement and commercial performance.

You’ll help scale Data Science across the organisation, working with the Data Science Lead and stakeholders through the full lifecycle from problem framing to deployment.

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Data Scientist: Scale ML for Loyalty & Growth in Knowsley employer: Harnham

Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.

Harnham

Contact Details:

Harnham Recruitment Team

We think you need these skills to ace Data Scientist: Scale ML for Loyalty & Growth in Knowsley

Communication Skills
Python
SQL
Problem-Solving Skills
Data Engineering
Automation
Attention to Detail