Senior Data Scientist

Ex; Jersey City (NJ); On-site; USD 120,000 - 140,000; Full time

Job summary

Ex in Jersey City is seeking a highly experienced Senior Data Scientist to join our Data Science and Advanced Analytics team. The role focuses on ML, NLP, and Generative AI to solve financial services and insurance problems.

You will design, develop, and deploy production-grade solutions using structured and unstructured data, with emphasis on RAG, embeddings, and model validation.

Qualifications

• Experience solving complex business problems in Financial Services or Insurance.
• Strong expertise in Python, statistics, ML, NLP, LLMs, and RAG.
• Experience designing and deploying production-grade analytics solutions.

Responsibilities

• Design, develop, and deploy production‑grade analytic and AI solutions.
• Work with structured and unstructured data to solve business problems.
• Apply ML/AI techniques to underwriting, claims, risk, fraud, and pricing.

Skills

Machine Learning

Statistical Modeling

Predictive Analytics

Generative AI/LLMs

NLP

Embeddings & RAG

Supervised Learning

Unsupervised Learning

Feature Engineering

Model Development & Validation

Tools

Python

Job description

We are looking for a highly experienced and hands‑on Senior Data Scientist to join our Data Science and Advanced Analytics team. The ideal candidate will have a strong foundation in Machine Learning, Statistical Modeling, Predictive Analytics, and Generative AI/LLMs, with experience solving complex business problems within Financial Services and/or Insurance.

The role will be responsible for designing, developing, and deploying production‑grade analytical and AI solutions using structured and unstructured data. The candidate should have strong expertise in Python, statistics, supervised and unsupervised learning, feature engineering, model development and validation, NLP, LLMs, embeddings, and Retrieval‑Augmented Generation (RAG).

Experience applying analytics and AI techniques to areas such as underwriting, claims, risk analysis, fraud detection, customer analytics, pricing, financial forecasting, portfolio analysis, and operational analytics is highly preferred.

Base Compensation Range: 120,000 - 140,000

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits