Job Summary

We are looking for a hands-on Data Scientist with a robust statistics and AI foundation to work across raw, unstructured, and behavioral data - engineering features, building advanced models, and shipping production-grade deliverables in close collaboration with the clients data and engineering teams.

Responsibilities

- Mine raw credit bureau (tradeline-level) and bank transaction data to identify, structure, and validate discrete, machine-readable risk signals with clear trigger conditions and supporting evidence.

- Apply LLM-based extraction techniques to convert unstructured data (e.g., sales call transcripts) into structured, schema-validated signals (claim credibility, objection type/resolution, sentiment) suitable for downstream models - not narrative summaries.

- Engineer features from high-frequency, noisy behavioral/interaction event data using sequence and trajectory analysis, clustering, and state-based modeling.

- Build and validate advanced models spanning classical ML, survival/hazard modeling (Cox, parametric, ML survival models), and Bayesian methods (hierarchical models, empirical Bayes,



sequential updating).

- Rigorously test whether new signals/features add incremental predictive value beyond existing structured models - avoid replicating what current models already capture.

- Take models and features from experimentation through to production-grade deliverables: version-controlled code, reproducible pipelines, and monitored production services.

- Own Python codebases with GitHub-based version control and CI/CD workflows for feature/model deployment.

- Contribute reusable content, frameworks, and learnings to Affines internal AI Center of Excellence (CoE).

- Operate entirely within access-controlled infrastructure, working only with de-identified data under named-user access.

Job Type

Full-time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Principal Data Scientist (Bengaluru)
🏢 Affine Analytics
📍 Bengaluru