Analyst, Data Scientist – AIML & Generative AI
Share
Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Responsibilities:
- Contribute to endtoend AI/ML and Generative AI projects helping translate business needs into technical solutions and participating in model design development and deployment.
- Collaborate with crossfunctional teamsincluding product engineering and analyticsto deliver AIdriven insights and solutions.
- Participate in designing modelling approaches selecting algorithms defining evaluation metrics and preparing datasets for training and validation.
- Support fullstack data science workflows including data ingestion feature engineering model training testing deployment and monitoring.
- Implement and maintain AI pipelines using tools and frameworks aligned with LLMOps AgenticAIOps and DevOps best practices under guidance from more senior team members.
- Assist in building GenAI and agentic AI components such as prompt pipelines retrievalaugmented systems workflow automation or agent orchestration.
- Conduct thorough reviews and QA for data quality model performance and deliverables to ensure accuracy and reliability.
- Keep documentation model artefacts and project materials current and aligned to modelling and operational standards.
- Contribute to knowledgesharing experimentation and adoption of new AI/ML methods within the team.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
What you will need:
- 5 years of relevant data science experience.
- Handson experience building and deploying machine learning and/or Generative AI models.
- Proficiency in key modelling techniques such as regression decision trees ensemble methods neural networks and related ML algorithms.
- Experience with Python SQL and cloud technologies for developing and scaling AI solutions.
- Competency in software languages such as React for integrating AI solutions into applications or visual interfaces.
- Understanding of data mining predictive modelling classification clustering or other ML approaches.
- Exposure to or familiarity with modern operational practices such as DevOps LLMOps or AgenticAIOps.
- Ability to communicate insights clearly to both technical and nontechnical audiences.
- Strong analytical thinking attention to detail and commitment to data/model quality.
- Demonstrated interest in learning emerging AI technologies and best practices.
- Previous exposure to financial services or credit card analytics is a plus.
Preferred Qualifications:
- Experience in developing and applying Generative AI and Agentic AI solutions.
- Experience in geospatial data analysis.
- An innovative and unyielding eager to learn the latest DS/AI techniques
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more
