Senior Data Scientist, Actimize

So, what’s the role all about?

Actimize Premier is seeking a Senior 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.

At Actimize Premier, you will play a critical role in developing industry-leading solutions to combat financial fraud and money laundering. This role offers the opportunity to work on innovative technologies, mentor a talented team, and make a tangible impact in the fight against financial crime. Join us to lead the evolution of AI-driven fraud detection and AML technologies.

How will you make an impact?  

• 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.

Have you got what it takes?  

• 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.
• Master’s or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Electrical Engineering, or a related quantitative field.
• 4 –7 years of experience in algorithm development, statistical analysis, and machine learning.
• Hands-on experience in applying advanced machine learning techniques to real-world datasets in financial fraud prevention, AML, or similar domains.
• 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.
• Strong mentoring and leadership skills, with a proven ability to guide and develop junior team members.
• Excellent problem-solving skills with a pragmatic approach to balancing theory and practical application.
• Effective communication skills to collaborate across teams and present complex ideas to stakeholders.
• Resourceful, adaptable, and passionate about financial crime prevention technologies.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 5701
Reporting into: Tech Manager, Engineering
Role Type: Individual Contributor