Data Scientist (BFSI Domain)

Overview

Full Time
Accepts corp to corp applications
Contract - W2
Contract - Contract /FTE

Skills

Data Scientist
BFSI Domain

Job Details

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Data Scientist (BFSI Domain) in Remote. Below is the detailed job description.

Position: Data Scientist (BFSI Domain)
Location: Remote
Level: L4 Equivalent

About the Role

We are seeking a highly skilled Data Scientist with strong experience in the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will bring expertise in data science, machine learning, and statistical modeling to solve real-world business problems such as fraud detection, risk management, credit scoring, compliance, and customer analytics.

This role is open to visa-independent professionals and can be engaged on either a contract or full-time basis.

Responsibilities

  • Develop, deploy, and optimize predictive and prescriptive models across BFSI use cases (risk, fraud, compliance, credit, churn, etc.).

  • Apply advanced statistical analysis, machine learning, and deep learning techniques to large financial datasets.

  • Translate complex business problems into analytical solutions, and communicate insights effectively to stakeholders.

  • Collaborate with cross-functional teams (engineering, product, compliance, risk, operations) to operationalize ML models.

  • Work with structured and unstructured financial data to build scalable data pipelines and production-ready models.

  • Ensure adherence to data governance, privacy, and regulatory requirements within BFSI standards.

  • Mentor junior data scientists and contribute to building best practices for model development and deployment.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.

  • 5 8 years of total experience, with at least 3 5 years in BFSI domain data science roles.

  • Strong proficiency in Python, R, SQL, and distributed data frameworks (Spark, Databricks, Hadoop).

  • Experience with machine learning, NLP, time-series forecasting, anomaly detection, and optimization models.

  • Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and MLOps best practices.

  • Familiarity with regulatory compliance and risk frameworks in BFSI.

  • Strong communication skills to interact with both technical and non-technical stakeholders.

Preferred Skills

  • Experience with credit risk modeling, fraud analytics, or anti-money laundering (AML).

  • Hands-on experience deploying ML models in production environments.

  • Familiarity with big data ecosystems (Databricks, Snowflake, Hive, etc.).

  • Prior exposure to international BFSI clients or projects.

Employment Terms

  • Engagement type: Contract or Full-Time (flexible).

  • Remote work with potential collaboration across global time zones.

  • Compensation aligned to L4 / mid-level data scientist market standards.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.