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Data Science Graduate

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1 Vacancy
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Job Location drjobs

milan - Italy

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

The Data Scientist Graduate is a key member of the client-facing Data Science Lab team in the European region. As a Data Scientist you will be accountable for the development and delivery of analytics-driven strategies and solutions for Visas external clients in this role you will work collaboratively with VCA and a multitude of internal functions their senior leaders and our clients in promoting an insight-driven culture creative analytic solutions and best practices to drive business performance with a clear commercial value and measurable return. Half of your day will involve delivering projects (coding/working with data) and the other half will be dedicated to discussing data requirements and managing internal and external meetings. Please bear in mind that our workload varies tremendously as each project is very bespoke. Sometimes we might be delivering a CSV file; another time a predictive machine learning model or segmentation. Whatever the solution is you will be involved in the end-to-end process starting from gathering clients requirements all the way to delivering actionable insights that enable our clients to make data-driven business decisions.

Principal Responsibilities

  • Promote the use of data science to solve business challenges for external clients showcasing creative and impactful solutions.
  • Collaborate with VCA consultants to identify and develop data science opportunities that support business development and revenue growth.
  • Apply predictive modeling and machine learning techniques to improve client outcomes in areas like customer acquisition retention and profitability.
  • Analyze VisaNet data to uncover key performance metrics and identify issuer P&L opportunities that drive growth for clients and Visa.
  • Deliver business-centric insights through effective data visualization and storytelling that support strategic decision-making.
  • Engage with internal and external stakeholders to understand business requirements and translate them into actionable data science solutions.
  • Manage multiple data science projects ensuring clear scope methodology and alignment with client goals and timelines.
  • Develop and execute analytic plans using appropriate statistical and data mining techniques while maintaining thorough project documentation.
  • Enhance existing solutions by introducing new methodologies tools and best practices in the field of data science.
  • Automate processes and stay current with emerging tools software and techniques to continuously improve efficiency and innovation.

Qualifications :

What were after:

  • Permanent right to work in Italy
  • Graduating in 2025 or in summer 2026.
  • Graduate/Postgraduate degree (Masters or Ph.D.) in a quantitative field such as Statistics Mathematics Operational Research Computer Science Economics Engineering or equivalent experience.
  • Fluent in Italian as well as in English.
  • Ability to communicate with impact and interest in working in a consulting-like environment and client-facing project roles.
  • Familiarity with modern distributed systems including Hadoop SQL MLP and Apache Spark.
  • Familiarity with one or more data analytics/programming tools such as Python.
  • Knowledge of applying predictive modelling and machine learning techniques to problems.


Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race religion sex national origin sexual orientation gender identity or disability.

If you require any support during the recruitment process for any reason including those related to a disability please let us know and we will be in contact to discuss this with you.

This is a hybrid position. Employees are expected to work from the office three set days a week (determined by leadership on site).

Please submit your CV in English.

All your information will be kept confidential according to EEO guidelines.

 


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

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