Data Scientist

As a Data Scientist, you will design and deliver advanced analytical and machine learning solutions that directly influence core financial decision-making across lending, risk, collections, and customer engagement.

Requirements

  • Develop and deploy machine learning models across critical financial use cases
  • Translate complex business problems into analytical frameworks and measurable outcomes
  • Perform exploratory data analysis on structured and unstructured datasets
  • Design scalable machine learning pipelines in collaboration with Data and AI Engineering teams
  • Lead model validation, explainability, and regulatory compliance processes
  • Build reusable data science components, models, and accelerators
  • Present insights, recommendations, and model performance results to senior stakeholders

Benefits

  • Opportunity to work with a highly regulated financial environment
  • Collaborative work environment with cross-functional teams
  • Chance to build scalable models that generate measurable business impact

To apply for this job please visit accelone.breezy.hr.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!