Data Science Manager

Payworks • London, UK • 2d ago

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Data Solutions – Implementation and Scaling (DSIS) team sits within the Europe Data Solutions Organization and is responsible for the technical design, implementation and scaled delivery of standardized Visa Consulting & Analytics (VCA) solutions across all European markets. As a Data Science Manager within the DSIS team, you will work with stakeholders to create and deliver data-driven solutions that can be efficiently delivered to clients on a continuous basis.

Principal Responsibilities

Drive automation of data solutions to enable efficient and repeatability revenue for VCA including:
- Building and documenting data pipelines to prepare shared data assets for the team
- Designing and developing visualizations and dashboards to communicate insights and client recommendations
- Automating reproducible data extracts for client delivery
Develop scaled methodologies that derive meaningful recommendations from data involving:
- Advanced analytics
- Customer segmentations
- Predictive models
- Client portfolio performance measurements
- Data policy compliance requirements
Work with VCA data scientists and consultants across Europe to support data science business development across key accounts to meet VCA revenue targets
Promote the creative use of data science to solve business problems
Create and deliver powerful business-centric insights from data through insightful visualization and storyboarding
Collaborate with stakeholders to fully understand business requirements and desired business outcomes
Handle multiple medium and long-term projects along with the rest of the team and stakeholders
Define detailed analytic scope, methodology, and project plans
Execute on project plans using appropriate methodologies/techniques
Ensure project delivery within timelines and budget requirements
Enhance existing data science solutions to incorporate new requirements or best practices
Apply best practices to develop reproducible analytic pipelines
Provide subject matter expertise to stakeholders
Perform quality assurance of complex data science project

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Preferred Qualifications

Experience working in the data science, data engineering or analytics profession
Graduate or post graduate degree (or equivalent experience) in a quantitative field such as statistics, computer science, mathematics, engineering, operational research, economics, etc
Experience working in the payments industry (e.g. financial institutions, credit reference agencies, payment processors)
Hands on experience working with extremely large data sets
Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
Results oriented with strong analytical, consultative and problem-solving skills, with demonstrated intellectual and analytical rigor
Experience planning, organizing, and managing end to end projects with diverse cross-functional teams
Proven skills in translating analytics output to actionable recommendations
Hands-on experience with modern distributed systems, including both Hadoop, Hive/SQL and Apache Spark
Proficiency in creating reproducible analytic pipelines
One or more data analytics/programming tools such as Python and R
Proficiency with version control systems like (e.g. git, GitHub, etc)
Data visualization using Tableau, Power BI or R/Python

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.