Specialist Data Scientist, Actimize

As a Specialist Data Scientist at NiCE, you will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems in the fraud prevention domain. Your role will involve: - Developing and executing advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. - Designing and developing predictive and generative models to extract actionable insights from large and complex datasets. - Utilizing statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. - Translating business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs. - Mentoring and upskilling junior data scientists, championing best practices in code quality, experimentation, and documentation. - Staying abreast of the latest advancements in Data Science, Machine Learning, Generative AI, and recommending innovative approaches to solve business challenges. Qualifications required for this role include: - Bachelor's degree in computer science, Statistics, Mathematics, or a related field; advanced degree (Masters or Ph.D.) preferred. - Minimum of 8 years of hands-on experience in data science and machine learning, with at least 1/1.5 years 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, SSL, regression, classification, clustering, and deep learning. - Strong understanding of LLMs, NLP techniques, 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. Additionally, you would have an advantage if you have: - 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. Join NiCE, a market-disrupting global company where you can work in a fast-paced, collaborative, and creative environment. With endless internal career opportunities and the chance to learn and grow every day, NiCE offers a vibrant and innovative atmosphere for passionate individuals like you. Enjoy the NiCE-FLEX hybrid model, combining 2 days working from the office and 3 days of remote work each week for maximum flexibility and collaborative thinking. As a Specialist Data Scientist at NiCE, you will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems in the fraud prevention domain. Your role will involve: - Developing and executing advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. - Designing and developing predictive and generative models to extract actionable insights from large and complex datasets. - Utilizing statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. - Translating business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs. - Mentoring and upskilling junior data scientists, championing best practices in code quality, experimentation, and documentation. - Staying abreast of the latest advancements in Data Science, Machine Learning, Generative AI, and recommending innovative approaches to solve business challenges. Qualifications required for this role include: - Bachelor's degree in computer science, Statistics, Mathematics, or a related field; advanced degree (Masters or Ph.D.) preferred. - Minimum of 8 years of hands-on experience in data science and machine learning, with at least 1/1.5 years of experience in Generative AI development. - Proficiency in programming languages such