Senior Data Scientist, Actimize
NiCE (company site, opens in a new tab)4–8 yrsPuneRemoteDirect career pageEst. 18–34 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Analyze large, complex datasets to identify fraud inconsistencies and patterns.
- Build, validate, optimize, and improve machine learning models for fraud detection and prevention at enterprise scale.
- Collaborate with cross-functional teams to deliver scalable analytical solutions and communicate findings to technical and non-technical stakeholders.
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; hands-on experience with ML techniques such as clustering, decision trees, boosting.
- Experience developing and deploying classification and regression models at enterprise scale; familiarity with ML-Ops frameworks or containerized environments (Kubernetes is a plus).
Ideal Candidate Profile
- Experienced in building and troubleshooting production ML models in fraud analytics or financial crime domains.
- Skilled at working in agile, multi-disciplinary teams and communicating complex analytical concepts clearly to non-technical stakeholders.
- Operationally focused on continuous model improvement, data pattern research, and delivering measurable business impact through advanced analytics.