AI/ML Data Scientist β€” Hybrid, Global Impact in Sale

AI/ML Data Scientist β€” Hybrid, Global Impact in Sale

Sale Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deliver end-to-end ML solutions to solve real business problems.
  • Company: Join Digica, a forward-thinking company making a global impact.
  • Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
  • Other info: Work in a dynamic environment with cross-functional projects across the US and Europe.
  • Why this job: Make a difference by turning data insights into impactful ML models for international clients.
  • Qualifications: Experience in data science, machine learning, and collaboration with diverse teams.

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

Digica seeks a passionate Data Scientist to solve real business problems using data and machine learning.

You will design and deliver end-to-end ML solutions from exploration to deployment, turning insights into production-ready models for international clients.

You will collaborate with diverse teams, handle data cleaning, feature engineering, and model validation, and contribute to cross-functional projects across US and Europe.

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AI/ML Data Scientist β€” Hybrid, Global Impact in Sale employer: Digica Ltd.

At Digica, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our hybrid work model allows for flexibility while working on impactful projects that span across the globe, providing ample opportunities for professional growth and development. Join us to be part of a diverse team dedicated to solving real-world problems through cutting-edge AI and machine learning solutions.

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Contact Details:

Digica Ltd. Recruitment Team

We think you need these skills to ace AI/ML Data Scientist β€” Hybrid, Global Impact in Sale

Machine Learning
Data Cleaning
Feature Engineering
Model Validation
End-to-End ML Solutions
Collaboration
Data Analysis