Remote Data Scientist β€” AI/ML for Compliance & Risk

Remote Data Scientist β€” AI/ML for Compliance & Risk

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Cognibox

At a Glance

  • Tasks: Design and deploy machine learning models for compliance and risk scoring.
  • Company: Cognibox, a forward-thinking company focused on innovation.
  • Benefits: Flexible hybrid workplace, personal development opportunities, and competitive salary.
  • Other info: Collaborative environment with opportunities for growth and innovation.
  • Why this job: Join a dynamic team and make a real impact in AI/ML solutions.
  • Qualifications: Master's or Bachelor's in Data Science, with Python and SQL experience.

The predicted salary is between 50000 - 70000 Β£ per year.

Cognibox is seeking a Data Scientist to design and deploy machine learning models that enhance compliance and risk scoring. This remote role emphasizes collaboration across teams to integrate innovative solutions into production systems hosted on popular cloud platforms.

The ideal candidate will have a Master's or Bachelor's degree in Data Science or related fields and substantial experience in Python and SQL. We offer a hybrid workplace policy supporting flexibility and personal development.

Remote Data Scientist β€” AI/ML for Compliance & Risk employer: Cognibox

Cognibox is an excellent employer that champions innovation and collaboration in a flexible hybrid work environment. With a strong focus on personal development, employees are encouraged to grow their skills in cutting-edge AI/ML technologies while contributing to meaningful projects that enhance compliance and risk management. The company's commitment to a supportive culture and the opportunity to work remotely make it an attractive choice for data science professionals seeking rewarding careers.

Cognibox

Contact Details:

Cognibox Recruitment Team

We think you need these skills to ace Remote Data Scientist β€” AI/ML for Compliance & Risk

Machine Learning
Data Science
Python
SQL
Collaboration
Cloud Platforms
Compliance