Job Description

Develop end to end data science solutions: Design, develop, and deploy data-driven applications, from data collection and preprocessing to model building, deployment, and visualization.


Data collection and preprocessing Extract, clean, and transform data from various sources, ensuring data integrity and quality for analysis and modeling tasks.


Model development and deployment Create predictive models, machine learning algorithms, and statistical models to solve complex problems. Implement model deployment strategies web APIs or microservices to enable real-time predictions or integration with existing systems.


Frontend development Build intuitive and interactive data visualizations or dashboards using web technologies HTML/CSS/JavaScript to effectively communicate data insights to stakeholders.


Backend development Develop scalable and efficient data pipelines, APIs, or microservices for data ingestion, processing, and storage using programming languages like Python, Java, or Ruby. Implement cloud based solutions if necessary.


Collaborate with crossfunctional teams Work closely with data engineers, software developers, and business stakeholders to understand requirements, gather insights, and translate business problems into data science solutions.


Data exploration and analysis Conduct exploratory data analysis to identify patterns, trends, and insights from complex datasets. Apply statistical techniques and data visualization to communicate findings effectively.


Continuous improvement and research: Stay updated with the latest advancements in data science, machine learning, and software development. Research and experiment with new tools, frameworks, and approaches to enhance data science capabilities.


Qualifications/Skills Required


Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field or related experience.


Strong programming skills in languages such as Python, R, Java, or similar.


Strong working experience with cloud based technologies such as Azure AWS or Google Cloud.


Proficiency in frontend development technologies HTML/CSS/JavaScript for data visualization.


Experience with machine learning algorithms, statistical modeling, and data analysis.


Knowledge of SQL and database systems.


Strong problem solving skills and ability to work in a fast-paced, dynamic environment.


Excellent communication and collaboration skills.b Description Responsibilities


Deploying web applications to cloud platforms like AWS, Azure, or Google Cloud.


Having knowledge of Docker and Kubernetes will be added advantage


Experience working within financial/fintech sectors


Experience of Jira and Confluence 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 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.



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.