Data Scientists
Data Scientists:
Design, build, and optimize predictive models and machine learning algorithms using structured and semi structured data.
Perform data preprocessing, feature engineering, and model selection independently. Build and maintain automated model pipelines including training, validation, scoring, and monitoring.
Implement model drift detection, retraining logic, and performance diagnostics.
Conduct code-based model explainability support documentation for governance review Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM)
Strong command of SQL and handling large datasets
Experience deploying models using MLflow, Airflow, Docker, or similar tools
Familiarity with model performance metrics
Hands on in training and evaluating models for binary classification, multi class, regression, or time series
Exposure to deep learning for advanced use cases
Working knowledge of embeddings, vector stores, or text-based models
Git-based versioning and reproducible ML workflow setup
About VirtusaAdd the Middle East to your global professional experience and have the opportunity to work on some of the leading Digital Transformation programs. Virtusa is one of the fastest growing IT Services companies in the Middle East with a growing client base in the UAE, KSA, Qatar & Oman and we work with the leading Banking and Financial Services, Travel, Telecom and Enterprises firms in the region. We have partnered with our clients to win awards from Gartner, IDC, WfMC and other analyst for the work that we have delivered to our clients in the region.Why would you not like to be part of this exciting and award winning team? Don’t listen to us, listen to our customers (https://www.youtube.com/watch?v=JrDNtTLKkPc; & https://www.youtube.com/watch?v=MhzhZt1GJvM) Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000+ people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Data Scientists:
Design, build, and optimize predictive models and machine learning algorithms using structured and semi structured data.
Perform data preprocessing, feature engineering, and model selection independently. Build and maintain automated model pipelines including training, validation, scoring, and monitoring.
Implement model drift detection, retraining logic, and performance diagnostics.
Conduct code-based model explainability support documentation for governance review Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM)
Strong command of SQL and handling large datasets
Experience deploying models using MLflow, Airflow, Docker, or similar tools
Familiarity with model performance metrics
Hands on in training and evaluating models for binary classification, multi class, regression, or time series
Exposure to deep learning for advanced use cases
Working knowledge of embeddings, vector stores, or text-based models
Git-based versioning and reproducible ML workflow setup
About VirtusaAdd the Middle East to your global professional experience and have the opportunity to work on some of the leading Digital Transformation programs. Virtusa is one of the fastest growing IT Services companies in the Middle East with a growing client base in the UAE, KSA, Qatar & Oman and we work with the leading Banking and Financial Services, Travel, Telecom and Enterprises firms in the region. We have partnered with our clients to win awards from Gartner, IDC, WfMC and other analyst for the work that we have delivered to our clients in the region.Why would you not like to be part of this exciting and award winning team? Don’t listen to us, listen to our customers (https://www.youtube.com/watch?v=JrDNtTLKkPc; & https://www.youtube.com/watch?v=MhzhZt1GJvM) Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000+ people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.