Location : Bengaluru | Full-Time | Remote
Affluense.ai is building the world’s most advanced AI-powered affluent intelligence platform , helping businesses discover, understand, and engage High Net Worth Individuals through real-time data and deep profiling. We are backed by Zeropearl VC , Kunal Shah (CRED) , and Pravin Jadhav (Dhan) .
We are looking for a Data Scientist with strong fundamentals and curiosity to work directly with the founders on key ML models powering our platform.
Responsibilities
- Build, validate, and optimize core machine learning models , including supervised and unsupervised algorithms.
- Develop models for entity matching, classification, clustering, anomaly detection, and predictive scoring (e.g., wealth scoring).
- Work on LLM-powered data extraction , enrichment, and text understanding (if experienced).
- Design and maintain feature engineering pipelines across structured and unstructured datasets.
- Collaborate with engineering teams to deploy ML models into production at scale.
- Continuously experiment with new techniques to improve accuracy, coverage, and inference efficiency.
- Work with real-world data challenges — noisy data, incomplete information, entity resolution, and cross-source matching.
Requirements
Self starter and self motivated with deep curiosity and motivation to learn.Strong foundation in probability, statistics, and linear algebra .Solid experience with supervised & unsupervised ML (Regression, Classification, Clustering, Ensemble methods, etc.).Hands-on experience in Python , Pandas , scikit-learn , and basic ML Ops.Ability to independently build, test, and tune models end-to-end.Experience with LLMs (OpenAI, HuggingFace, LangChain) is a strong plus , but not mandatory.Prior experience in data-focused startups, finance, or intelligence systems is a plus.Budget for the role : 4-8 Lakhs (Cash+Esop)
Note :
You can apply on the form given below. No other mode of application is considered.
https : / / forms.gle / XJARwp7fEXDqAc2R9