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Internship - Data Science

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ION

Sep 4

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Banking & Finance
  • London
  • Quick Apply

AI generated summary

  • You should have BI tool experience, familiarity with Python libraries, strong English skills, a passion for quantitative modeling, and a collaborative approach to sharing insights and documenting work.
  • You will model business processes, analyze data using Pandas/Spark, create BI reports, present findings, and contribute to product backlogs and roadmaps for high-quality client deliverables.

Requirements

  • What You Need To Know
  • Hands-on experience with BI tools (Excel, PowerBI)
  • Experience with Python data science libraries (pandas, pyspark, sklearn) is nice to have
  • Fluent English
  • We Are Looking For Someone Who
  • is passionate about modelling unknown business contexts with a quantitative approach
  • can find a good trade-off between quality and speed of delivery
  • proactively contribute your insights and ideas in a way that fits existing frameworks of the firm
  • is fond of sharing knowledge with colleagues and documenting your work

Responsibilities

  • Quantitative modelling of business processes
  • Codification of customer requirements, needs, activities
  • Business intelligence with PowerBI/Excel
  • Packaging high-quality deliverables for external clients
  • Data manipulation with Pandas or Spark/Hive
  • Modelling complex business contexts
  • Extracting structured information from unstructured sources
  • Performing quantitative analyses
  • Presenting findings and recommendations to external clients and internal stakeholders
  • Contributing to the definition of product backlogs
  • Building a quantitative picture of the AS-IS
  • Complementing the analysis with implementation analysis and product roadmap definition
  • Designing the TO-BE and driving product evolutions and developments

FAQs

What is the primary focus of the internship role at ION?

The primary focus of the internship role is to innovate financial services in areas such as wealth management, credit lending, risk management, and compliance within commercial/retail banks in Italy through quantitative modeling and analysis.

What types of skills will I develop during this internship?

During this internship, you will learn quantitative modeling of business processes, codification of customer requirements, business intelligence using PowerBI and Excel, and data manipulation with Python libraries such as Pandas or Spark.

Is prior experience with BI tools required?

While hands-on experience with BI tools like Excel and PowerBI is preferred, it is not strictly required for the internship.

What programming languages and libraries should I be familiar with?

Familiarity with Python data science libraries such as Pandas, PySpark, and Scikit-learn is a plus, but not mandatory for applying.

What underlying qualities are you looking for in a candidate?

We are looking for candidates who are passionate about quantitative modeling, can balance quality and speed of delivery, proactively contribute insights, and enjoy sharing knowledge and documenting their work.

Is fluency in English required for this position?

Yes, fluency in English is required for this internship position.

Will I be involved in presenting findings to clients?

Yes, you will be involved in presenting findings and recommendations to external clients and internal stakeholders.

What type of analysis will I be performing during the internship?

You will perform business process analyses, quantitative analyses, and implementation analysis, and contribute to defining product roadmaps.

Will I receive guidance during my internship?

Yes, you will work collaboratively with colleagues who can provide guidance and support throughout your internship experience.

Innovation through automation

Technology
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

We’re visionary innovators who are delivering mission-critical trading and workflow automation software to financial institutions, corporations, central banks, and governments. By combining our passion for automation with a strategic view on the industries we serve, we design solutions that improve decision-making, simplify complex processes, and empower people. Simply put, we help our customers do more, faster and better than before. We believe our investments in research and development are shaping the future of automation and enabling our customers to transform their business. And we embrace the power of community, working with each other and with our customers to succeed through a positive culture of continuous improvement.