Specialist Data Scientist, Actimize

So, what’s the role all about?

We are seeking for a seasoned Data Scientist (5 + yrs) with a strong track record of turning state-of-the-art Generative AI and classical ML techniques into production value. The Specialist Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems at the fraud prevention domain.

How will you make an impact?

• Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment.
• Design and develop predictive and generative models to extract actionable insights from large and complex datasets.
• Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data.
• Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs.
• Mentor and upskill junior data scientist, champion best practices in code quality, experimentation, and documentation.
• Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges.

Have you got what it takes?

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Master's or Ph.D.) preferred.
• Minimum of 5 years of hands-on experience in data science and machine learning, Agentic AI with at least 1 year of experience in Generative AI development.
• Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc.).
• Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning.
• Strong understanding of LLMs, Agentic Architectures and evaluation methods for generative outputs.
• Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains.
• Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
• Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects.

Preferred Qualifications:

• Experience working in industries such as finance, banking.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services for building and deploying machine learning models.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) for creating interactive dashboards and reports.
• Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects.
• Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases.
• Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques.

What’s in it for you?

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: 10241
Reporting into: Group Manager
Role Type: Individual Contributor