Job description
| Data Scientist – Financial Modelling & AWS Hands-on Data Scientist experienced in leveraging the AWS toolset to develop financial models. Strong coding skills in Python, PySpark, and SQL enabling efficient data processing, feature engineering, and model development. Proven ability to collaborate across teams to translate complex financial data into actionable business insights and scalable, production-ready solutions. Short Description of the Job Design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions. Key Responsibilities Understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of business strategy Bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end to end Apply a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services Work in an agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes |
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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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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