Posted on: 09/12/2025
Education :
- Bachelor's or Master's degree in Data Science, Statistics, Economics, Mathematics, Operations Research or related fields
- Additional certifications in data wrangling, machine learning, analytics, or data engineering will be of additional value
Work Experience :
- 3-6 years of experience in data science, applied analytics
- Knowledge of basics of machine learning, hypothesis testing and inference
- Hands-on experience with Python and SQL, preferably in a data-product or workflow-driven ecosystem
- Experience in data munging and working with semi-structured text and extraction workflows (regex, parsing, text analysis)
- Experience designing and implementing rules, heuristics, or analytical logics
- Exposure to LLM-based systems, prompt engineering, or applied NLP
- Experience in AML, KYC, risk, fraud, compliance, or domain-heavy analytical work is strongly preferred
- Experience in collaborating with multiple teams and communicating with external stakeholders
- Demonstrated ability to manage ambiguity, partial information, and iterative refinement of analytical logic
- Experience delivering analysis to non-technical stakeholders, explaining logic and its business impact
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Posted by
ZIGRAM DATA TECHNOLOGIES PRIVATE LIMITED
HR at ZIGRAM DATA TECHNOLOGIES PRIVATE LIMITED
Last Active: NA as recruiter has posted this job through third party tool.
Posted in
AI/ML
Functional Area
Data Science
Job Code
1587596
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