Job Description

Assist in data preparation, cleaning, and transformation for model development.


Support senior engineers in designing and testing computational models for anomaly detection.


Perform basic statistical analyses such as standard deviation, variance, and trend analysis to identify anomalies.


Work with large transaction datasets to identify patterns and irregularities.


Assist in model evaluation, fine-tuning, and validation under the guidance of senior engineers.


Collaborate with cross-functional teams to integrate models into production systems.


Document findings, workflows, and results for team reference and knowledge sharing.




Required Skills & Qualifications


Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or related field.


13 years of experience in data science, AI/ML engineering, or related areas.


Basic proficiency in Python with exposure to data analysis libraries such as Pandas, NumPy, and Scikit-learn.


Understanding of statistical concepts like mean, median, standard deviation, and correlation.


Familiarity with machine learning fundamentals (classification, clustering, time-series basics).


Knowledge of SQL for data extraction and basic querying.


Strong problem-solving and analytical skills, with attention to detail.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 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.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.