Visa

Company Name: Visa
Job Title: Data Scientist
Job Description: **Job Title** Data Scientist **Role Summary** Leverage Visa’s extensive payment data to design, develop, and deploy machine‑learning and generative‑AI solutions that solve business challenges and drive actionable insights for clients and internal stakeholders. **Expectations** - 2+ years of professional experience in data‑driven decision making or quantitative analysis. - Bachelor’s degree in an analytical discipline (statistics, economics, computer science, operations research, etc.) is required; a Master’s, MBA, JD, MD, or PhD is preferred. - Proficiency in SQL, Python or R, and statistical software for model development and deployment. - Ability to translate complex analyses into clear visualizations and presentations. **Key Responsibilities** 1. Brainstorm and prototype innovative data‑centric solutions for business problems. 2. Engage with clients to understand requirements, articulate data‑based solutions, and secure buy‑in. 3. Build, test, and deploy machine‑learning and generative‑AI models; monitor performance and refine models over time. 4. Extract, clean, and aggregate large datasets using SQL and other extraction tools. 5. Conduct predictive modeling to optimize customer experience, revenue, and marketing outcomes. 6. Create visualizations and dashboards to convey insights to a broad audience. 7. Translate analytical findings into product concepts suitable for multiple clients. 8. Collaborate with cross‑functional stakeholders to identify opportunities for data‑driven business solutions. 9. Evaluate the effectiveness and accuracy of new data sources and collection methods. 10. Develop processes and tools to monitor model accuracy and data integrity. **Required Skills** - SQL (data extraction, aggregation, and manipulation). - Python or R (statistical analysis, model development, deployment). - Statistical software (e.g., Stata, SAS) preferred. - Excel, PowerPoint, Tableau (data visualization, reporting). - Experience building and deploying machine‑learning models. - Strong quantitative analysis and statistical modeling capabilities. - Excellent communication skills for client interaction and stakeholder collaboration. **Required Education & Certifications** - Bachelor’s degree in statistics, economics, computer science, operations research, or related analytical field. - Advanced degree (Master’s, MBA, JD, MD, PhD) preferred. - No specific certifications required.

Toronto, Canada

Hybrid

Junior

23-12-2025

Company Name: Visa
Job Title: Analyst, Data Strategy & Communication
Job Description: **Job Title** Analyst, Data Strategy & Communication **Role Summary** Provide analytical support to the Data Strategy Team by developing strategy projects, market insights, and communication materials that shape product, data, and AI initiatives. **Expectations** - Deliver data‑driven recommendations to senior stakeholders. - Own workstreams and meet project milestones. - Communicate findings through presentations, reports, and written content. **Key Responsibilities** - Participate in strategy projects, lead workstreams, and structure business problems. - Build rigorous, quantitative analyses to underpin recommendations. - Monitor project progress, identify risks, and propose mitigation plans. - Conduct market research on data strategy and AI trends. - Translate research into insights that inform strategic decisions and business growth. - Produce executive‑level presentation materials and written deliverables (product stories, case studies, market updates). - Support Product Marketing and Communications teams with internal messaging. - Manage multiple priorities in a fast‑paced environment. **Required Skills** - Strong analytical and problem‑solving abilities. - Proficiency in Excel, PowerPoint, and data analytics tools. - Excellent written and verbal communication. - Stakeholder management and cross‑functional collaboration. - Project management and organizational skills. **Required Education & Certifications** - Bachelor’s degree (or higher), or equivalent experience. - Minimum 2 years of relevant work experience (3+ years preferred). - Experience in strategy development or consulting. - Experience working with product, marketing, and communications teams. - Knowledge of payments and emerging technologies, especially AI.

San francisco, United states

On site

Junior

01-01-2026

Company Name: Visa
Job Title: Data Science Graduate
Job Description: **Job Title** Data Science Graduate **Role Summary** Entry‑level data scientist in the client‑facing Data Science Lab (Europe) of Visa Consulting & Analytics. Develop and deliver analytics‑driven strategies and solutions for external clients, balancing hands‑on coding work with stakeholder engagement and project management. **Expactations** - Hold permanent right to work in the UK. - Graduate by 2025 (or summer 2026) with a quantitative degree. - Communicate effectively in English and thrive in a consulting, client‑focused environment. - Manage multiple bespoke projects, adhering to scope, timelines, and documentation standards. **Key Responsibilities** - Translate business requirements into data‑science solutions and actionable insights. - Build predictive models, machine‑learning pipelines, and segmentation analyses for client outcomes (e.g., acquisition, retention, profitability). - Analyze VisaNet and other datasets to identify performance metrics and revenue opportunities. - Create clear visualizations and narratives to support strategic decision‑making. - Collaborate with VCA consultants to uncover new data‑science opportunities for business development. - Maintain project documentation, automate workflows, and adopt emerging tools and best practices. **Required Skills** - Proficiency in Python (or equivalent analytics language). - Experience with SQL, Hadoop, Apache Spark, and distributed data processing. - Strong foundation in statistical modeling, predictive analytics, and machine‑learning techniques. - Ability to visualize data and tell compelling stories for non‑technical audiences. - Excellent written and verbal communication; stakeholder management. - Problem‑solving mindset and ability to work autonomously and in teams. **Required Education & Certifications** - Graduate or postgraduate degree (Master’s or Ph.D.) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering, or a closely related quantitative field. - No specific certifications required; demonstrable experience with relevant tools and techniques is essential.

London, United kingdom

Hybrid

Junior

08-01-2026

Company Name: Visa
Job Title: Systems Engineer Intern - Summer 2026, Highlands Ranch
Job Description: Job Title: Systems Engineer Intern – Summer 2026 Role Summary Internally supports Visa’s Operations & Infrastructure organization by delivering host‑software configuration management to developer teams and providing infrastructure reliability for storage and backup systems. Assignments include first‑level environment support, mainframe modernization assistance, storage/SAN maintenance, and automation of repeatable tasks. Expectations - Work as part of either the Developer Experience team or the Infrastructure Reliability team. - Contribute to project plans, meet deadlines, and provide clear documentation. - Serve as a point of contact for troubleshooting and escalation. - Automate infrastructure processes using SRE principles and Infrastructure‑as‑Code practices. Key Responsibilities **Developer Experience** - Provide 1st‑level support for mainframe environment setup, user access, and issue resolution. - Compile, migrate, and install source code on TPF platform using Endevor and SLiMS. - Support transition to DevOps practices and integration of new distributed tools. - Draft documentation, reports, spreadsheets, and presentations. - Gather metrics and prepare audit reports. **Infrastructure Reliability (Storage Operations)** - Maintain security, availability, and performance of SAN, NAS, and backup infrastructure. - Automate provisioning, replication, disaster recovery, and migration tasks with scripting. - Serve as Level‑2 escalation point for storage and backup issues. - Document configurations and changes in line with procedural models. - Coordinate with Systems, Database, Engineering, Asset Management, and Risk teams. Required Skills - Experience in infrastructure support or strong interest in storage engineering. - Proficiency in scripting (Python, Bash, Go, etc.) for infrastructure automation. - Knowledge of IBM mainframe technologies (MVS, JCL, REXX, CLIST, ISPF). - Familiarity with software configuration management tools and life‑cycle practices. - Strong analytical, problem‑solving, and communication skills. Required Education & Certifications - Pursuing a Bachelor’s degree in Computer Science, Computer Engineering, CIS/MIS, Cybersecurity, or related field; expected graduation December 2026 – August 2027. - Foundational programming knowledge (Python, Golang, Bash, COBOL, Visual Basic, Java, C/C++, YAML) is preferred.

Highlands ranch, United states

Hybrid

Fresher

20-01-2026

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