We are seeking a passionate and ambitious Data Science Manager to partner with Visa Consulting & Analytics and co-develop data-driven solutions to help Visas clients grow their businesses.
What we expect of you day to day
Develop a deep understanding of Visas data assets and valueadded services and proactively translate them into compelling commercially viable propositions that address client needs across acquisition usage and retention.
Partnering closely with Sales VCA and Product teams to identify opportunities shape client conversations and convert insights into funded projects.
Collaborate with internal and external stakeholders to define clear business problems commercial outcomes and success metrics translating them into structured analytical and delivery plans.
Execute the Data Science projects ensuring the use of appropriate statistical and AI techniques to generate clear businesscentric insights supported by strong storytelling and impactful visualisation.
Provide subjectmatter expertise and quality assurance across complex Data Science engagements ensuring analytical rigor relevance and alignment with client objectives.
Identify recurring client needs and market trends emerging from commercial engagements and actively feed these insights into Visas Data Science product and solution development roadmap.
This is a hybrid position. This requires 3 days per week (Tuesdays Wednesdays and Thursdays) attendance in the Madrid office.
Qualifications :
You must have:
- Advanced analytics and AI experience applying a range of techniques (e.g. predictive modeling machine learning experimentation) to solve real business problems and drive measurable outcomes.
- Strong hands-on capability in data preparation and feature engineering including cleaning transforming and validating large complex datasets.
- Programming skills in Python and SQL including production-grade data manipulation and ML workflows (e.g. pandas scikit-learn or equivalent libraries) and the ability to work efficiently with large datasets.
- Proven ability to translate business needs into end-to-end analytical/AI solutions from problem framing and methodology design to insight delivery and stakeholder adoption.
- Ability to communicate complex technical concepts clearly and credibly to non-technical stakeholders influencing decisions through storytelling visualization and structured recommendations.
You might have:
- An advanced degree (or equivalent experience) in Computer Science Data Science Statistics Mathematics Engineering or a related quantitative field.
- Experience delivering analytics/AI in payments banking consulting or similarly fast-paced commercial environments.
- Experience exploring Generative AI use cases (e.g. LLM-enabled insights summarization copilots) and integrating them into analytics workflows safely and effectively.
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
We are seeking a passionate and ambitious Data Science Manager to partner with Visa Consulting & Analytics and co-develop data-driven solutions to help Visas clients grow their businesses.What we expect of you day to dayDevelop a deep understanding of Visas data assets and valueadded services and pr...
We are seeking a passionate and ambitious Data Science Manager to partner with Visa Consulting & Analytics and co-develop data-driven solutions to help Visas clients grow their businesses.
What we expect of you day to day
Develop a deep understanding of Visas data assets and valueadded services and proactively translate them into compelling commercially viable propositions that address client needs across acquisition usage and retention.
Partnering closely with Sales VCA and Product teams to identify opportunities shape client conversations and convert insights into funded projects.
Collaborate with internal and external stakeholders to define clear business problems commercial outcomes and success metrics translating them into structured analytical and delivery plans.
Execute the Data Science projects ensuring the use of appropriate statistical and AI techniques to generate clear businesscentric insights supported by strong storytelling and impactful visualisation.
Provide subjectmatter expertise and quality assurance across complex Data Science engagements ensuring analytical rigor relevance and alignment with client objectives.
Identify recurring client needs and market trends emerging from commercial engagements and actively feed these insights into Visas Data Science product and solution development roadmap.
This is a hybrid position. This requires 3 days per week (Tuesdays Wednesdays and Thursdays) attendance in the Madrid office.
Qualifications :
You must have:
- Advanced analytics and AI experience applying a range of techniques (e.g. predictive modeling machine learning experimentation) to solve real business problems and drive measurable outcomes.
- Strong hands-on capability in data preparation and feature engineering including cleaning transforming and validating large complex datasets.
- Programming skills in Python and SQL including production-grade data manipulation and ML workflows (e.g. pandas scikit-learn or equivalent libraries) and the ability to work efficiently with large datasets.
- Proven ability to translate business needs into end-to-end analytical/AI solutions from problem framing and methodology design to insight delivery and stakeholder adoption.
- Ability to communicate complex technical concepts clearly and credibly to non-technical stakeholders influencing decisions through storytelling visualization and structured recommendations.
You might have:
- An advanced degree (or equivalent experience) in Computer Science Data Science Statistics Mathematics Engineering or a related quantitative field.
- Experience delivering analytics/AI in payments banking consulting or similarly fast-paced commercial environments.
- Experience exploring Generative AI use cases (e.g. LLM-enabled insights summarization copilots) and integrating them into analytics workflows safely and effectively.
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
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