Data Science Intern - Remote

Overview

As a Data Science Intern at Experian, you will analyze large datasets and apply machine learning, data mining, and statistical techniques to drive insights and improve business outcomes.

In Short

• Design efficient data structures and storage systems.
• Develop data-driven models to measure data value.
• Conduct Return on Investment analysis and present model processes and results.
• Collaborate to develop best practices for using data.
• Manage independent assignments and influence project outcomes.
• Build stakeholder relationships by understanding their requirements and goals.
• Share knowledge with team members and participate in the analytics community.

Requirements

• Up to a year of experience in the Data Science field.
• University degree in Data Science, Computer Science, Math, Statistics, or similar.
• Fluent in English, both written and spoken.
• Knowledge of probability, statistical inference, and optimization algorithms.
• Apply analytical techniques, such as regression analysis, ML, AI, and deep learning.
• Experience with model cross-validation techniques.
• Familiarity with statistical significance tests and Monte Carlo simulations.
• Write code in Python.
• Any experience with SparkSQL and data visualization tools.
• Understand modern big data technologies, including the Apache family (Hadoop, Spark), database technologies, and natural language processing tools.

Benefits

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials, and books.
• Social benefit package including life insurance, food vouchers, additional health insurance, internet coverage, corporate discounts, marriage and childbirth/adoption allowance, Multisport card, Sharesave plan, birthday gift, and many other benefits!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday, and 3 paid days for participation in Social responsibility events.
• Opportunity for Flexible working hours and Home Office.