Staff Data Scientist & AI-Driven Analytics Lead in London

Staff Data Scientist & AI-Driven Analytics Lead in London

London Full-Time 70000 - 105000 Β£ / year (est.) No working from home possible
ripple

At a Glance

  • Tasks: Lead technical projects and define analytics vision using AI across products.
  • Company: Join Ripple, a leader in innovative data solutions.
  • Benefits: Competitive salary, bonuses, wellness programs, and generous vacation policies.
  • Other info: Exciting opportunity for career growth in a dynamic environment.
  • Why this job: Shape the future of analytics and make a significant impact with AI.
  • Qualifications: 8+ years in data science and an advanced degree in a quantitative field.

The predicted salary is between 70000 - 105000 Β£ per year.

Ripple seeks a Staff Data Scientist to lead technical projects and define the analytics vision across various products. In this role, you'll employ AI to enhance analytics workflows and collaborate with product leads to set strategies. Ideal candidates will possess strong leadership in data science, with 8+ years of experience and an advanced degree in a quantitative field.

Benefits for full-time employees include competitive salaries, bonuses, wellness programs, and generous vacation policies.

Staff Data Scientist & AI-Driven Analytics Lead in London employer: ripple

Ripple is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Staff Data Scientist to thrive. With competitive salaries, bonuses, and comprehensive wellness programmes, employees are supported in both their professional and personal lives. The company prioritises employee growth through continuous learning opportunities and encourages a work-life balance, ensuring that team members can excel in their roles while enjoying generous vacation policies.

ripple

Contact Details:

ripple Recruitment Team

We think you need these skills to ace Staff Data Scientist & AI-Driven Analytics Lead in London

Leadership in Data Science
AI and Machine Learning
Analytics Workflow Enhancement
Collaboration with Product Leads
Strategic Planning
Quantitative Analysis
Technical Project Management