Senior Data Scientist, Actimize

Requirements

• Experience working in industries such as finance, banking. Experience with Financial Crime solution development.
• 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.
• Hands-on experience with vector databases (e.g. Pinecone) and embedding techniques.
• What's in it for you?
• Enjoy NiCE-FLEX!
• Requisition ID: 10989
• Reporting into: Tech Manager
• Role Type: Individual Contributor
• About NiCE
• Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

Benefits

Additional Information

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about? We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 5 years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems 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. Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact. 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? Minimum of 4-8 years of hands-on experience in data science and machine learning, 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, Plotly, Hugging Face - Transformers, LangChain etc.) and SQL. Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Experience in implementing RAG pipelines, combining LLMs with external knowledge bases or vector databases.

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