Senior Data Scientist: Personalisation & Generative AI

Senior Data Scientist: Personalisation & Generative AI

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Create cutting-edge recommendation engines and AI experiences that truly personalise user interactions.
  • Company: Join Data Idols, a forward-thinking company in the heart of London.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving the future of digital personalisation.
  • Why this job: Make a real impact by solving customer problems with innovative AI solutions.
  • Qualifications: Experience in machine learning, data science, and collaborative project work is essential.

The predicted salary is between 63000 - 77000 Β£ per year.

Data Idols in London is seeking a Senior Data Scientist to develop the next generation of recommendation engines, conversational AI experiences and personalisation models for a large-scale digital platform. This role blends ML, recommender systems and Generative AI to solve real-world customer problems with measurable commercial impact.

You will design, build and deploy production-grade models, collaborating with Product, Engineering and MLOps teams to move ideas from experimentation into production.

Senior Data Scientist: Personalisation & Generative AI employer: Data Idols

Data Idols is an exceptional employer for those looking to make a significant impact in the tech industry. With a hybrid work model in vibrant London, employees enjoy a collaborative culture that fosters innovation and creativity, alongside ample opportunities for professional growth and development. Join us to tackle complex machine learning challenges while being part of a forward-thinking team dedicated to shaping the future of technology.

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Contact Details:

Data Idols Recruitment Team

We think you need these skills to ace Senior Data Scientist: Personalisation & Generative AI

Python
Problem-Solving Skills
SQL
Data Engineering
Communication Skills
Data Pipeline Development
API Integration