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    4. Data Science Internship London 2024
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    Level Infinite is a global game publisher offering a comprehensive network of bespoke services for games, development teams and studios around the world.

    Responsibilities

    We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play, while building a community that fosters inclusivity, connection, and accessibility.

    The brand also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

    Level Infinite is both publisher of breakout hit games like PUBG MOBILE and Goddess of Victory: NIKKE, and a collaborative partner in games such as Fatshark’s Warhammer 40,000: Darktide, Dune: Awakening from Funcom, Nightingale from Inflexion Studios and many more.

    • Apply advanced analytic methods to solve business problems and deliver solutions in game development, publishing, and live-ops.
    • Support the development of end-to-end data products, including data analysis, experimentation, machine learning model development, validation, and serving. 
    • Interact cross-functionally with various teams such as game studios, product and engineering teams and provide actionable business insights for stakeholders. 
    • Keep up with the latest trends in data science and machine learning, effectively apply advanced technologies and tools in gaming.

    Requirements

    • Bachelor degree or above in a quantitative discipline, such as statistics, machine learning, computer science, math, economics. 
    • Knowledge with one or more of the following areas: machine learning & statistical learning, deep learning, reinforcement learning, statistical analysis, experimentation, NLP, computer vision, recommendation system, and any other data science related domains.
    • Proficient in SQL.
    • Proficient in Python, R or other related programming languages.
    • Experience with data visualization tools (such as Tableau) is preferred.
    • Hands-on experience using data science to solve real-world problem is preferred.
    • Good analytical, problem-solving and communication skills.