Data Scientist

LE100 Zelis Healthcare India Private Limited; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Hybrid work flexibility

Comprehensive healthcare benefits

Financial wellness programs

Cultural celebrations

Job summary

LE100 Zelis Healthcare India Private Limited is looking for an experienced Senior Data Scientist in Hyderabad. You will design scalable data models, build predictive solutions, and translate complex data into actionable insights in the healthcare and payments sectors.

The ideal candidate will have 7+ years in Data Science with a strong background in data modeling, Python or R, and advanced statistics. The role offers hybrid work flexibility and comprehensive healthcare benefits.

Qualifications

• 7+ years of experience in Data Science, Analytics, or Applied ML roles.
• Strong hands-on experience in data modeling.
• Proficiency in Python or R and related libraries.
• Advanced knowledge of statistics and predictive modeling.
• Strong SQL skills with high-volume datasets.

Responsibilities

• Design, develop, and maintain data models for analytics.
• Lead development of predictive models across datasets.
• Perform feature engineering and model optimization.
• Collaborate with teams to ensure alignment of data models.
• Analyze transactional data to derive actionable insights.

Skills

Data modeling

Machine learning

Python

R

Statistics

SQL

ETL/ELT

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Spark

Power BI

Tableau

Job description

Position Overview

Zelis is seeking an experienced Senior Data Scientist with strong data modeling and machine learning expertise to drive advanced analytics across healthcare and payments platforms. This role focuses on designing scalable data models, building predictive solutions, and translating complex data into actionable business insights.

Key Responsibilities

• Design, develop, and maintain data models (conceptual, logical, and physical) to support analytics, machine learning, and reporting needs.
• Lead development of statistical, predictive, and machine learning models across healthcare and payment datasets.
• Perform feature engineering, data transformation, and model optimization on large-scale structured and semi-structured data.
• Collaborate with data engineering, product, and business teams to align data models with product and analytics requirements.
• Analyze high-volume transactional and operational data to derive actionable insights.
• Validate model accuracy, scalability, and performance; implement continuous improvement strategies.
• Ensure data quality, consistency, and governance across analytical datasets.
• Communicate insights through storytelling, dashboards, and executive presentations.
• Mentor junior data scientists and promote best practices in data science and modeling.

Required Skills & Qualifications

• 7+ years of experience in Data Science, Analytics, or Applied ML roles.
• Strong hands‑on experience in data modeling (dimensional modeling, star/snowflake schemas, analytical data models).
• Proficiency in Python or R and data science libraries (Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch).
• Advanced knowledge of statistics, probability, predictive modeling, and hypothesis testing.
• Strong SQL skills and experience working with complex, high-volume datasets.
• Experience deploying models into production environments.
• Solid understanding of ETL/ELT pipelines and data transformation processes.
• Excellent analytical, problem‑solving, and communication skills.
• Good to have: experience in healthcare, payments, fintech, or insurance domains; exposure to cloud platforms (Azure, AWS, or GCP); experience with big data technologies (Spark, Databricks); familiarity with MLOps, model monitoring, and lifecycle management; knowledge of data privacy and compliance standards (HIPAA, SOC); experience with data visualization tools (Power BI, Tableau).

Benefits

Hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations.

Commitment to Diversity, Equity, Inclusion, and Belonging

At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations.

Equal Employment Opportunity

Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Accessibility Support

We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability and require reasonable accommodation with any part of the application and/or interview process, please email [e-mail].