Data Scientist

EXL

Data Scientist building predictive and statistical ML solutions for EXL’s data analytics and digital operations clients. Processing large-scale data with PySpark, MLflow, and Feature Store frameworks.

Posted 9/3/2026full-timePune • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning models for business and financial applications, with a strong focus on statistical modeling, data analysis, and feature engineering. Proficient in utilizing distributed computing frameworks and ML lifecycle management tools to deliver scalable and effective analytical solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentExploratory Data Analysis (EDA)Statistical ModelingPySpark/SparkMLflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive ModelingClassificationClusteringRecommendation SystemsForecastingFeature EngineeringStatistical AnalysisData ProcessingModel Training

Tools & Technologies

MLflowFeature StoreDistributed Computing FrameworksPySparkSpark

Industry Keywords

PaymentsCardsBankingFinancial Services

Tech Stack

Tools & technologies

PySparkSpark

About the role

Key responsibilities & impact

Design, develop, and deploy machine learning models for business and financial use cases
Build predictive, classification, clustering, recommendation, and forecasting solutions
Perform exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities
Develop statistical models for financial planning, forecasting, risk assessment, and performance optimization
Translate business requirements into analytical solutions and measurable outcomes
Process and analyze large-scale structured and semi-structured datasets using PySpark/Spark
Develop feature engineering pipelines for machine learning applications
Work with distributed computing frameworks for scalable model training and inference
Implement end-to-end ML lifecycle management using MLflow
Build and maintain reusable feature pipelines using Feature Store frameworks

Requirements

What you’ll need

Bachelor's Degree
Experience in Payments, Cards, Banking, or Financial Services is an added advantage

Benefits

Comp & perks

No benefits or compensation extras specified