Data Scientist: Fintech ML for Impact (Hybrid) in London

Data Scientist: Fintech ML for Impact (Hybrid) in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Kroo Bank Ltd

At a Glance

  • Tasks: Enhance decision-making through data science in credit risk and fraud prevention.
  • Company: Kroo Bank Ltd, a diverse and inclusive fintech company.
  • Benefits: Hybrid working model, competitive salary, and supportive work environment.
  • Other info: Collaborative teams and opportunities for professional growth.
  • Why this job: Make a real impact on customer experiences with your data science skills.
  • Qualifications: Experience in data science and strong analytical skills.

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

Kroo Bank Ltd is looking for a Data Scientist to enhance decision-making through data science across various business areas such as credit risk and fraud prevention. You will build and deploy solutions while collaborating with different teams, improving customer experiences through robust analysis.

This role offers a hybrid working model, requiring attendance at the London office 1-2 days a week. We're committed to diversity and inclusion in our workplace, ensuring support for all employees.

Data Scientist: Fintech ML for Impact (Hybrid) in London employer: Kroo Bank Ltd

Kroo Bank Ltd is an exceptional employer that champions innovation and collaboration in the fintech sector. With a hybrid working model that promotes work-life balance, employees enjoy the flexibility of remote work while benefiting from a vibrant office culture in London. The company prioritises diversity and inclusion, offering ample opportunities for professional growth and development, making it an ideal place for those seeking meaningful and impactful careers.

Kroo Bank Ltd

Contact Details:

Kroo Bank Ltd Recruitment Team

We think you need these skills to ace Data Scientist: Fintech ML for Impact (Hybrid) in London

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering