Company Description: Actimize Premier is seeking a Data Scientist to design, develop, and optimize cutting-edge algorithms and machine learning solutions for financial fraud prevention and anti-money laundering (AML) applications. You will work on behavioral analytics and machine learning models while mentoring junior team members and collaborating closely with cross-functional teams. This role provides an opportunity to contribute to innovative, impactful products at the forefront of financial crime prevention technology. Job Description: - Develop and optimize advanced machine learning models and algorithms for fraud detection and AML applications. - Mentor and guide junior data scientists and analysts, fostering a collaborative and high-performance team environment. - Leverage cloud platforms (AWS, Azure, Google Cloud) to implement scalable AI/ML solutions. - Contribute to the design and implementation of core algorithms, mathematical models, and data-driven solutions. - Explore and apply emerging technologies such as Generative AI to enhance fraud detection capabilities. - Collaborate with product managers, engineers, and other stakeholders to translate business requirements into robust technical solutions. - Perform statistical analysis, data mining, and visualization using tools like Python or R. - Drive innovation by researching and integrating the latest advancements in data science and machine learning. - Support the team in building user behavior models, leveraging Bayesian statistics, and exploring advanced techniques like social network analysis. Qualifications: - - Proficiency in Python for statistical analysis, data modeling, and visualization. - Experience with cloud technologies and platforms (AWS, Azure, or Google Cloud). - Solid understanding of databases and SQL (e.g., MySQL). - Exposure to generative AI techniques and their applications in data science. Additional Information: - Knowledge of user behavior modeling and Bayesian statistics. - Experience in natural language processing (NLP). - Familiarity with tools and libraries for generative AI (e.g., Transformer models). - Understanding of the financial crime prevention domain and its associated challenges.