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Data Science Intern - AI & Machine Learning

HawkMunich
On-site Internship

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Experience Level

Entry Level

Qualifications

RequirementsCurrently enrolled in a Bachelor's, Master's, or Engineering degree program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related discipline. Previous experience in AI/ML, Data Science, Banking/Financial Services, FinTech, or Consulting is preferred. Proficient in Python and familiar with libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.

About the job

Join Our Team

At Hawk, we are at the forefront of combating financial crime with our innovative AI-driven solutions. Our technology empowers banks and payment providers worldwide to enhance their anti-money laundering (AML) compliance and fraud detection capabilities. We blend traditional methods with explainable AI to elevate efficiency and reduce false positives, making a significant impact in the global battle against money laundering and fraud.

Our culture thrives on mutual trust, collaboration, and a shared passion for making a difference while providing opportunities for personal and professional growth.

Your Role
As a member of Hawk's Data Science & AI team, you will contribute to the development and implementation of cutting-edge machine learning solutions to identify and counteract financial crimes. Your enthusiasm for data and problem-solving will drive the advancement of AI applications in the FinTech sector.

Your Responsibilities

  • Enhancing AI/ML models to better detect suspicious activities and minimize false positives.
  • Exploring and applying state-of-the-art techniques in data science and AI for financial crime prevention.
  • Streamlining processes and automating workflows within the Data Science team.
  • Creating prototypes and proof-of-concept solutions to showcase new AI techniques to potential clients.
  • Conducting analysis on complex financial data sets, recognizing patterns, and delivering insights to leadership.
  • Working alongside cross-functional teams including Engineering and Product to integrate models into existing systems.
  • Documenting methodologies and findings to promote transparency and ongoing improvement.

About Hawk

Hawk is a premier provider of AI-enhanced solutions for anti-money laundering and fraud detection. Our technology is employed by financial institutions globally to boost the effectiveness of their compliance efforts while minimizing false positives. We are committed to making a substantial contribution to the fight against financial crime, and we foster a culture of support and professional development among our team members.

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