The Data Science Sr. Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visas Bangalore office.
The individual will be accountable for supporting and driving the design development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
- Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.
- Define detailed scope and methodology design and create solutions and execute on the framework leveraging appropriate tools and techniques.
- Drive portfolio strategies with the use of client data and/or other sources of data e.g. Visa data third party etc.
- Act as analytics advocate within our partners advising teams and sharing best practices and case studies.
- Continually look at the environment to challenge various assumptions around new sources of data tools talent and infrastructure.
- Actively seek out opportunities to innovate by using VisaNet non-traditional data and new modelling techniques fit for purpose to the needs of our clients.
- Translate analytical findings into clear actionable business insights.
- Own project outcomes by proactively identifying and mitigating risks managing dependencies and communicating status and timelines to meet delivery expectations.
- Work closely with cross-functional teams (consultants data science data engineers) to ensure successful project delivery.
- Contribute to the development of internal frameworks templates and accelerators for data science consulting.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Preferred Qualifications
- 8 or more years of work experience with a Bachelors Degree or 5 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
We are looking for a motivated analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience be curious about banking and cards industry should be results-driven and client-centric.
- 8 years experience plus a bachelors degree in computer science information science mathematics or similar/related streams. Graduate masters degree is a plus.
- Hands-on in delivering end-to-end data science projects developing machine learning solutions and scaling up data solutions. Demonstrated expertise in the core machine learning workflow including data handling (cleaning wrangling feature engineering) and modeling with algorithms like Regression Decision Trees and XGBoost.
- Experience in card payments and/or retail banking domain.
- Hands-on experience across the data analytics lifecycle: programming and querying (Python SQL Pyspark) big data platforms (Hadoop Hive) and business intelligence/visualization (Tableau).
- Outstanding problem-solving skills with demonstrated ability to think creatively and strategically.
- Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.
- Familiar/Skilled in identifying and implementing GenAI solutions is desirable.
- Self-motivated results oriented individual with ability to handle multiple projects concurrently.
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
The Data Science Sr. Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visas Bangalore office.The individual will be accountable for supporting and driving the design development and implementation of analytics-driven strategies as well as high-...
The Data Science Sr. Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visas Bangalore office.
The individual will be accountable for supporting and driving the design development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
- Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.
- Define detailed scope and methodology design and create solutions and execute on the framework leveraging appropriate tools and techniques.
- Drive portfolio strategies with the use of client data and/or other sources of data e.g. Visa data third party etc.
- Act as analytics advocate within our partners advising teams and sharing best practices and case studies.
- Continually look at the environment to challenge various assumptions around new sources of data tools talent and infrastructure.
- Actively seek out opportunities to innovate by using VisaNet non-traditional data and new modelling techniques fit for purpose to the needs of our clients.
- Translate analytical findings into clear actionable business insights.
- Own project outcomes by proactively identifying and mitigating risks managing dependencies and communicating status and timelines to meet delivery expectations.
- Work closely with cross-functional teams (consultants data science data engineers) to ensure successful project delivery.
- Contribute to the development of internal frameworks templates and accelerators for data science consulting.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Preferred Qualifications
- 8 or more years of work experience with a Bachelors Degree or 5 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
We are looking for a motivated analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience be curious about banking and cards industry should be results-driven and client-centric.
- 8 years experience plus a bachelors degree in computer science information science mathematics or similar/related streams. Graduate masters degree is a plus.
- Hands-on in delivering end-to-end data science projects developing machine learning solutions and scaling up data solutions. Demonstrated expertise in the core machine learning workflow including data handling (cleaning wrangling feature engineering) and modeling with algorithms like Regression Decision Trees and XGBoost.
- Experience in card payments and/or retail banking domain.
- Hands-on experience across the data analytics lifecycle: programming and querying (Python SQL Pyspark) big data platforms (Hadoop Hive) and business intelligence/visualization (Tableau).
- Outstanding problem-solving skills with demonstrated ability to think creatively and strategically.
- Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.
- Familiar/Skilled in identifying and implementing GenAI solutions is desirable.
- Self-motivated results oriented individual with ability to handle multiple projects concurrently.
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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