Senior Data Scientist - Production ML & Revenue Analytics

Senior Data Scientist - Production ML & Revenue Analytics

Full-Time 60750 - 74250 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Own and optimise data processes, ensuring reliable insights for business decisions.
  • Company: EF Recruitment, a leader in international analytics.
  • Benefits: Hybrid work model, competitive pay, and opportunities for skill enhancement.
  • Other info: Fast-paced environment with potential for career advancement.
  • Why this job: Make a real impact on business analytics across the UK and Canada.
  • Qualifications: Experience in data science, SQL proficiency, and strong collaboration skills.

The predicted salary is between 60750 - 74250 Β£ per year.

EF Recruitment seeks a hands-on Senior Data Scientist for an International run-the-business analytics role covering the UK and Canada. This 6-month hybrid contract requires close collaboration with product, marketing, engineering, business development, compliance, and member support to own existing BAU processes end to end with reliability under tight deadlines.

The role emphasizes maintaining production models, monitoring data quality, and delivering timely insights while leveraging SQL.

Senior Data Scientist - Production ML & Revenue Analytics employer: EF Recruitment

Join a dynamic global SaaS company that values its employees and fosters a supportive work culture. With a hybrid working model based in the heart of London, you will enjoy the flexibility of working three days a week in the office while being part of a friendly team dedicated to professional growth and collaboration. This role offers unique opportunities for career advancement within a leading organisation, making it an excellent choice for those seeking meaningful and rewarding employment.

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Contact Details:

EF Recruitment Recruitment Team

We think you need these skills to ace Senior Data Scientist - Production ML & Revenue Analytics

SQL
Communication Skills
Python
Problem-Solving Skills
Data Engineering
Automation
Data Pipeline Development