Logo of Huzzle

Internship

Data Science Intern

Logo of Hearst

Hearst

21d ago

🚀 Off-cycle Internship

London

💻 Remote
⌛ Closed
Applications are closed

Off-cycle Internship

DataLondon

Description

  • As a Data Science Intern, you will have the opportunity to work closely with our development team and gain hands-on experience in applying advanced analytics techniques to solve real-world problems. You will be an integral part of our data science team, contributing to the development and implementation of machine learning models, data analysis, and other data-driven initiatives.

Requirements

  • Currently enrolled in Master's program in Data Science, Statistics, or a related field.
  • Strong programming skills in languages such as Python, R, or Java.
  • Familiarity with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Basic understanding of statistical concepts and methodologies.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills and ability to present complex findings in a clear and concise manner.
  • Enthusiasm for learning and a proactive attitude towards tackling challenges.
  • Duration:
  • This is a 6 months internship position, providing an opportunity for the intern to gain valuable hands-on experience in the field of data science. Full time position possible after internship.

Education requirements

Masters

Area of Responsibilities

Data

Responsibilities

  • Collaborate with the team to understand business requirements and define project objectives.
  • Clean, preprocess, and analyze large datasets to extract meaningful insights.
  • Assist in the development and implementation of machine learning models for predictive analysis and decision support.
  • Conduct exploratory data analysis to discover patterns, trends, and anomalies in the data.
  • Work with different data sources, including structured and unstructured data, to create comprehensive datasets for analysis.
  • Evaluate and validate model performance through testing and refinement.
  • Collaborate with cross-functional teams to integrate data science solutions into business processes.
  • Stay up-to-date with the latest trends and advancements in data science and machine learning.

Details

Work type

Full time

Work mode

remote

Location

London