Specialist Data Scientist, Actimize
NiCE (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 22–36 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end development and deployment of advanced machine learning and generative AI models for fraud prevention.
- Collaborate with Product, Engineering, and domain SMEs to translate complex business problems into analytical solutions.
- Mentor junior data scientists and promote best practices in coding, experimentation, and documentation.
Minimum Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; advanced degree preferred.
- Minimum 5 years of hands-on experience in data science and machine learning, including at least 1 year in Generative AI development.
- Proficiency in Python or R and data science libraries like pandas, NumPy, scikit-learn, Hugging Face Transformers, LangChain.
- Strong understanding of machine learning algorithms, large language models (LLMs), agentic architectures, prompt engineering, and evaluation methods for generative outputs.
Ideal Candidate Profile
- Experienced in operationalizing generative AI and classical ML techniques specifically in fraud prevention or related domains.
- Capable of independently delivering complex analytics projects and driving cross-functional collaboration with product and engineering teams.
- Skilled mentor and leader able to upskill junior team members and enhance team capabilities in AI/ML deployments.