Data Scientist II

Jobtailor; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Jobtailor is seeking a Data Scientist to work on B2B risk solutions for Fortune 500 clients. You will collaborate with internal and external D&B teams across the modelling lifecycle, applying LLMs and ML to analyze large datasets for credit risk, fraud, and compliance.

The role involves designing risk signals, building AI agents using ML/NLP to detect real-time triggers, and handling multiple assignments with tight timelines in a collaborative team environment.

Qualifications

• Master’s degree or higher in a quantitative discipline with 2–5 years of Data Science experience.
• Experience in development of risk models is desirable.
• Proficiency with ML models: XGBoost, LightGBM, Random Forest, Logistic Regression, Neural Networks.
• Strong programming skills in Python and PySpark for data manipulation and statistics.
• Strong SQL skills and experience handling large datasets.
• Ability to communicate complex ideas to technical and non-technical audiences.

Responsibilities

• Work on development of B2B Risk solutions for various clients including Fortune 500.
• Collaborate with internal/external D&B clients across modelling engagements from design to reporting.
• Apply LLMs and prompt engineering to analyze large-scale B2B datasets for risk and compliance.
• Design, develop and test new risk signals to identify risk patterns from structured/unstructured data.
• Develop AI agents for business deploying ML/NLP to detect real-time risk triggers and anomalies.
• Manage multiple assignments with challenging timelines and work both independently and in a team.
• Partner with internal D&B team to develop new risk analytics solutions.

Skills

Data Science

Machine Learning

Python

PySpark

SQL

Client relationship management

Communication

Education

Master’s degree in quantitative discipline

Tools

Python

PySpark

SQL

Job description

Responsibilities

• Work on development of B2B Risk solutions which includes Standard and custom solutions catering to various clients including fortune 500 companies
• Work with internal / external D&B clients and stakeholders; participate in all aspects of a modelling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting
• Apply LLMs and prompt engineering to analyze large-scale, unstructured and structured B2B datasets (e.g., Company News, Corporate Annual Reports) for credit risk, fraud detection, and compliance
• Design, develop and test new risk signals to effectively identify risk patterns from structured and unstructured data
• Develop AI agents for business deploying autonomous agents that utilize machine learning (ML) and natural language processing (NLP) to detect risk triggers and anomalies in real-time, shifting risk management from reactive reporting to predictive, actionable insights
• Ability to work on multiple assignments, many of which have challenging timelines
• Ability to work independently, as well as collaborate effectively in a team environment
• Partner with internal D&B team to develop new business solutions in risk analytics

Requirements

• Master’s degree or higher with concentration in a quantitative discipline such as Math/Stat, Economics, Computer Science, Finance, Operations Research, etc., with 2–5 years of experience in Data Science
• Experience in the development of risk models is desirable
• Application of machine learning models using techniques such as Xgboost, Light GBM, Random Forest, Logistic Regression, Decision Tree, Neural Networks, etc.
• Strong programming skills with the ability to conduct research utilizing Python and Pyspark to manipulate data and conduct statistical analysis
• Strong SQL skills and experience working with large datasets
• Ability to build and maintain relationships with clients
• Ability to effectively communicate complex ideas to both a technical and non‑technical audience