Data Science & AI Consulting Lead (Hybrid)

Data Science & AI Consulting Lead (Hybrid)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Metrica Recruitment

At a Glance

  • Tasks: Lead data science and AI projects, shaping solutions for business challenges.
  • Company: Metrica Recruitment, a forward-thinking firm in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on innovation and collaboration.
  • Why this job: Make a real impact by applying cutting-edge AI to transform businesses.
  • Qualifications: Experience in data science, leadership skills, and client engagement.

The predicted salary is between 60000 - 80000 Β£ per year.

Metrica Recruitment in London is seeking a Data Science Manager – AI Consulting to lead data science and AI engagements across customer experience, marketing analytics and digital transformation.

You will manage a team of consultants, set technical direction and ensure delivery quality.

This client-facing role involves shaping how ML and Generative AI are applied to business challenges, developing proposals and working with senior stakeholders.

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Data Science & AI Consulting Lead (Hybrid) employer: Metrica Recruitment

As a Lead Full Stack Engineer - Generative AI at our global digital and technology consultancy in Central London, you will thrive in a dynamic work culture that prioritises innovation, sustainability, and social impact. We offer flexible hybrid working arrangements, robust opportunities for professional growth, and the chance to lead multidisciplinary teams on high-profile projects that make a real difference. Join us to influence technical direction and mentor fellow engineers while delivering cutting-edge AI solutions that drive measurable outcomes for our clients.

Metrica Recruitment

Contact Details:

Metrica Recruitment Recruitment Team

We think you need these skills to ace Data Science & AI Consulting Lead (Hybrid)

Data Science
AI Consulting
Machine Learning (ML)
Generative AI
Customer Experience Analytics
Marketing Analytics
Digital Transformation