Data Scientist Senior

About the role

Data Scientist required to lead funded (billable) projects, customizing and implementing Forecasting, Anomaly detection, Classification and GPT-like solutions (generative AI, (R)etrieval/ (A)ugmentation/ (G)eneration architecture for automated prompt-engineering, etc.) for client-facing systems in Capital Markets.

Responsibilities

• Use quantitative and statistical methods to extract data and insights from structured and unstructured data. Leverage machine learning, statistical modeling, and quantitative analysis to create smarter, data-driven products.
• The candidate should understand both ML and Gen AI.
• Employ machine learning and statistical modeling to create and enhance data driven products
• Analyze and extract insights from internal and external data
• Work with Big Data and transform complex datasets into more usable formats
• Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
• Work independently and collaborate with other groups to solve complex problems
• Create and present analyses to internal and external partners and clients
• Document models and write code to track and monitor models and product performance
• Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs.
• Other related duties assigned as needed
• EDUCATION REQUIREMENTS - Bachelor degree with relevant experience (Minimum 3 years) but Masters or PhD is preferred in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience.
• Delivery-oriented team player who takes responsibility for the team's success and strives to continually learn and improve.
• Ability to interface with all levels of employees and effectively interact with various functional areas and facilities.
• Ability to establish and maintain effective working relationships with employees, management, and clients.
• Employ machine learning and statistical modeling to create and enhance data driven products
• Analyze and extract insights from internal and external data
• Work with Big Data and transform complex datasets into more usable formats
• Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
• Work independently and collaborate with other groups to solve complex problems
• Create and present analyses to internal and external partners and clients
• Document models and write code to track and monitor models and product performance
• Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs.
• Use Azure, AWS, Databricks to register the model and deploy ML OPS.

Requirements

• 6+ Years of relevant experience and knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis.
• Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL
• Experience or knowledge of cloud-based technology along with Azure and Databricks proficiency.
• Knowledge of financial services industry especially Capital Markets.
• Deep understanding of Fraud/Anomaly detection use cases and approach - Models like Auto encoder, XG Boost, Isolation Forest, Local Outlier factor, SVMs etc.
• Deep understanding on RAG, MCP & Agentic AI deployments.
• Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors
• Excellent analytical, decision-making, problem-solving, team, and time management skills
• Ability to persuade and influence others on the best approach
• Positive outlook, strong work ethic, and responsive to internal and external clients and contacts
• Ability to work as part of a team or alone making a strong contribution in either scenario
• Exceptional statistical, mathematical, basic Machine learning and analytical skills
• Superior interpersonal, communication and presentation skills.
• What we offer you:
• A career at FIS is more than just a job. It's the change to shape the future of fintech. At FIS, we offer you:
• A voice in the future of fintech.
• Always-on learning and development.
• Collaborative work environment.
• Opportunities to give back.
• Competitive salary and benefits.
• Privacy Statement
• FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice .
• Sourcing Model
• Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agenci

Additional Information

Data Scientist

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