Data Scientist - GenAI
About Us
Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world.
Your Mission As a GenAI Data Scientist at Hawk, you’ll play a key role in integrating cutting-edge generative AI technology into our product offerings, enhancing productivity for both our customers and internal teams. You’ll work on developing smart AI-driven tools that leverage unstructured data, achieving human-level or better accuracy to solve complex challenges in real-time. With a focus on scalable machine learning pipelines and robust engineering practices, you’ll ensure our AI solutions remain at the forefront of innovation. Collaborating closely with cross-functional teams, you’ll help shape the future of AI-driven automation in financial crime prevention and beyond. Key Responsibilities
Incubate new cutting-edge generative AI (genAI) technology and integrate them into our product offerings.
Enhance productivity for both employees and customers through the development of smart genAI tools.
Achieve human-level or better accuracy by enabling machines to access the same unstructured data sources as humans.
Apply your exceptional software engineering skills to ensure a consistent, efficient delivery pipeline.
Contribute to designing a scalable machine learning pipeline capable of running AI models in real-time.
Foster a culture of best practices, continuous improvement, and knowledge sharing.
Deliver tested, robust, and high-quality code that prioritizes the needs of customers alongside stakeholders like operations, sales, and development teams.
Your Profile
3+ Years Data Science experience
Experience with deep learning (tensorflow, pytorch, keras)
Strong knowledge about the foundations of genAI models, in particular transformers,
Experience working with large language models, including prompt engineering, RAGs, agentic AI solutions
Experience with genAI tooling, including the AWS stack
You are up to date with the latest developments in the machine learning field
Programming skills in Python
Excellent interpersonal skills, verbal, and written communication skills; a team player and keen learner
Passionate about data and analytics
MSc or PhD in a quantitative field, such as Computer Science, Mathematics, Physics, Statistics, or similar