Senior Data Scientist, Actimize
NiCE (company site, opens in a new tab)4–8 yrsPuneOn-siteDirect career pageEst. 18–35 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze large, complex datasets to identify fraud and inconsistencies, driving fraud detection and prevention.
- Build, validate, optimize, and enhance machine learning models, including deploying classification and regression models at enterprise scale.
- Collaborate with cross-functional teams and stakeholders to deliver scalable analytical solutions and communicate findings clearly to both technical and non-technical audiences.
Minimum Requirements
- 4 to 8 years of relevant Data Science experience.
- Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or related fields.
- Proficiency in Python (3.7+), SQL, and Excel with strong knowledge of statistical techniques and ML methods (clustering, decision trees, boosting, logistic regression).
- Experience with ML model deployment, troubleshooting, cloud platforms (AWS or Azure preferred), and familiarity with ML-Ops frameworks or containerized environments; Kubernetes experience is a plus.
Ideal Candidate Profile
- Experienced in fraud analytics, financial crime, or risk management models, ideally with exposure to banking or financial services domain.
- Capable of working effectively in agile, multi-disciplinary teams and communicating complex analytical concepts to non-technical stakeholders.
- Operates as an individual contributor, balancing hands-on technical expertise with collaboration and advocacy for technical solutions within cross-functional teams.