Data Scientist

Reposted Yesterday
Be an Early Applicant
Warsaw, Warszawa, Mazowieckie, POL
In-Office
Mid level
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
The Data Scientist will analyze large data sets, drive data science initiatives, build dashboards, and automate processes to provide business insights.
Summary Generated by Built In
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

Responsibilities:

  • Evangelizes the creative use of data analytics to explore large data sets and summarise results
  • Works with VBEI Data Scientists to drive data science business development opportunities and new data products
  • Build data dashboards for presenting insights and data products to key stakeholders
  • Create and deliver powerful business-centric insights from data through visualization and storyboarding 
  • Collaborating with the internal partners to fully understand business requirements and desired business outcomes  
  • Execution proficiency in handling multiple medium data analytics projects along with rest of the stakeholders in the project team 
  • Defining detailed analytic scope and methodology, and creating analytic/approach plans 
  • Executing on the analytic plans with appropriate data mining and statistical techniques  
  • Ensuring project delivery within timelines
  • Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
  • Providing subject matter expertise and quality assurance of complex data analytics projects 
  • Automating processes/codes
  • Familiarising yourself with new tools/software/techniques

This is a hybrid position. This requires 3 days per week (Tuesdays, Wednesdays and Thursdays) attendance in the office.

Qualifications

Basic Qualifications:

  • Strong passion for working with complex data sets and tackling quantitative problems
  • Experience in data analytics and data visualisation
  • Graduate degree (Masters) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
  • Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
  • Hands-on experience with one or more data analytics/programming tools such as R/Python
  • Hands-on experience with SQL databases
  • Experience in the application of analytics technique to business problems
  • Ability to communicate the results of projects to both technical and business audiences
  • Full professional proficiency in English and Polish

Preferred Qualifications:

  • Experience with distributed computing in Apache Spark is a plus
  • Experience with dashboarding tools such as PowerBI/Tableau is a plus
  • Relevant degree in data analytics, statistics, mathematics etc.
  • Passion in processing and summarising large data sets. Knowledge of payment network transactional data is a plus
  • Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
  • Proven skills in translating analytics output to actionable recommendations and delivery

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.

Skills Required

  • Strong passion for working with complex data sets and tackling quantitative problems
  • Experience in data analytics and data visualisation
  • Graduate degree (Masters) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
  • Hands-on experience with one or more data analytics/programming tools such as R/Python
  • Hands-on experience with SQL databases
  • Ability to communicate the results of projects to both technical and business audiences

Visa Inc, Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Visa Inc, and has not been reviewed or approved by Visa Inc,.

  • Retirement Support Retirement support is positioned as a standout, with an exceptionally rich 401(k) match described as a major differentiator in the overall package. This feature appears to materially increase total rewards beyond base salary.
  • Healthcare Strength Healthcare offerings are presented as comprehensive, spanning medical, dental, vision, disability, EAP, and mental-health resources. The breadth of coverage supports a perception of strong baseline benefits.
  • Strong & Reliable Incentives Annual bonuses and predictable total-rewards structures are portrayed as a consistent part of compensation, reinforcing a stable year-to-year earnings profile. The overall package is framed as more attractive when considering salary plus bonus and other rewards together.

Visa Inc, Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
33,000 Employees
Year Founded: 1958

What We Do

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you For more information, visit visa.com/about, @LifeatVisa Instagram, and @VisaNews on X.

Why Work With Us

At Visa, every voice powers progress. We believe inclusion fuels innovation — and that unique perspectives create better outcomes for our teams, our business, and the world we serve. With more than 13K members across our Employee Resource Groups, you’ll find community, allyship, and opportunities to lead, learn and make an impact beyond your desk.

Gallery

Gallery

Similar Jobs

Syneos Health Logo Syneos Health

Data Scientist

Healthtech • Biotech • Pharmaceutical
In-Office
3 Locations
22543 Employees

Syneos Health Logo Syneos Health

Data Scientist

Healthtech • Biotech • Pharmaceutical
In-Office
3 Locations
22543 Employees
In-Office
Warsaw, Warszawa, Mazowieckie, POL
10811 Employees

GE Vernova Logo GE Vernova

Data Scientist

Energy • Manufacturing • Solar • Renewable Energy
In-Office
Warsaw, Warszawa, Mazowieckie, POL
75000 Employees

Similar Companies Hiring

Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account