Data Scientist
Pune, Maharashtra, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- MLflow
- Spark
- PySpark
Source — Tool mentions in context
seeking someone to build and deploy ML models (predictive, classification, clustering, forecasting) for business and financial use cases. Key responsibilities include EDA, statistical modeling for financial planning/risk, and translating business needs into analytical solutions. Technical stack: PySpark/Spark for large-scale data processing, MLflow for end-to-end ML lifecycle, and Feature Store frameworks for reusable pipelines. Experience in Payments, Cards, Banking, or Financial Services is a plus. Data Science & Machine Learning Role Overview:
• Work with distributed computing frameworks to support scalable model training and inference. • Implement end-to-end ML lifecycle management using MLflow. • Build and maintain reusable feature pipelines leveraging Feature Store frameworks.
• Translate business requirements into analytical solutions and measurable outcomes. • Process and analyze large-scale structured and semi-structured datasets using PySpark/Spark. • Develop efficient feature engineering pipelines for machine learning applications.
Job description
seeking someone to build and deploy ML models (predictive, classification, clustering, forecasting) for business and financial use cases. Key responsibilities include EDA, statistical modeling for financial planning/risk, and translating business needs into analytical solutions.
Technical stack: PySpark/Spark for large-scale data processing, MLflow for end-to-end ML lifecycle, and Feature Store frameworks for reusable pipelines. Experience in Payments, Cards, Banking, or Financial Services is a plus.
Data Science & Machine Learning Role Overview:
• 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 to support 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 efficient feature engineering pipelines for machine learning applications.
• Work with distributed computing frameworks to support scalable model training and inference.
• Implement end-to-end ML lifecycle management using MLflow.
• Build and maintain reusable feature pipelines leveraging Feature Store frameworks.
• Experience in the Payments, Cards, Banking, or Financial Services domain will be an added advantage.
Data Science & Machine Learning Role Overview:
• 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 to support 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 efficient feature engineering pipelines for machine learning applications.
• Work with distributed computing frameworks to support scalable model training and inference.
• Implement end-to-end ML lifecycle management using MLflow.
• Build and maintain reusable feature pipelines leveraging Feature Store frameworks.
• Experience in the Payments, Cards, Banking, or Financial Services domain will be an added advantage.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pune, Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 3, 2026
- Recorded sightings
- 75
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.