Data Scientist Internship: Gain Valuable Experience at Future Anthem (London) £1,250/m

Data Scientist Internship: Are you a recent graduate with a passion for data and a thirst for real-world experience? Future Anthem, a leading company in Game Data Science, is offering an exciting Data Scientist Internship opportunity! This is your chance to gain hands-on experience working on cutting-edge projects in a fast-paced and dynamic environment.

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Data Scientist Internship Responsibilities

  • Gain experience working within the state-of-the-art Microsoft Azure cloud computing platform.
  • Work on real-world projects like Safer Play, which uses AI to detect gambling addiction markers.
  • Get exposure to the full lifecycle of machine learning model development.
  • Collaborate with various teams within the company, including engineering, product, and business.

Why You Should Apply:

  • Gain Real-World Experience: Apply your knowledge through practical involvement in day-to-day operations.
  • Learn from the Best: Work with industry experts passionate about sharing their knowledge.
  • Cutting-Edge Technologies: Get exposure to the latest tools and strategies used in data science.
  • Build Valuable Connections: Network with professionals across the industry to propel your career forward.
  • Make a Difference: Play a crucial role in the team’s success and contribute meaningfully to their projects.
  • Enjoyable Work Environment: Work with a team that values both professional growth and camaraderie.

Data Scientist Internship Qualification and Skills

  • Hold a 2.1 or higher bachelor’s degree in mathematics, statistics, computer science, engineering, or a similar field (Masters or PhD preferred).
  • Possess a strong understanding of data science frameworks, including data cleaning, feature engineering, and various machine learning models.
  • Have experience with data preprocessing and wrangling.
  • Enjoy collaborating with others and possess excellent communication and presentation skills.
  • Have a genuine interest and passion for technology and data.

Additional Skills (advantageous but not required):

  • Experience with cloud platforms like Azure, AWS, or Google Cloud.
  • Experience working on Big Data problems, ideally in a Spark environment.
  • Knowledge of database systems (relational, NoSQL, graph).
  • Proficiency in data visualization tools (PowerBI, Tableau).
  • Strong Python, PySpark, R, SQL, or Scala programming skills.

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