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    4. Data Science Internship QuantumBlack 2022
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    Closing soon

    You will join QuantumBlack’s leading data science team for 12 weeks this spring in London. Although you will work primarily within our data science research & development (R&D) team, you will still be able to gain exposure to our world-class data engineers, machine learning engineers, designers and McKinsey experts.

    You will be joining a team that will challenge you and invest in your professional development through R&D workstreams. Through this, you will be helping the best organizations in the world solve their most difficult problems.

    What you'll do

    You will work closely with our team of PhD data scientists on R&D workstreams, attend data science journal clubs and attend interdisciplinary team meetings.

    In this role, you will be exposed to the most challenging problems by connecting real world business questions to machine learning methods and translating the results of your R&D work into actionable industry solutions and 'know-how'. You will develop and apply data science methods to improve and optimize our clients performance needs. 

    You will communicate complex analytics concepts in a clear and concise manner to industry experts. You will use math, stats and machine learning to derive key insights across various industry sectors including Formula 1, pharma, automotive and high-tech. You will have the chance to write highly optimised code to advance our internal data science toolbox, develop world-class data science products for clients as well as for our data science team and publish our joined research.

    Qualifications

    • MSc or PhD in the field of computer science, machine learning, applied statistics, mathematics or a relevant field
    • Experience in advanced statistical modelling and/or machine learning
    • Programming experience in Python and ideally some exposure to R, Scala and SQL
    • Strong presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
    • Proven application of advanced analytical and statistical methodologies
    • Knowledge of distributed computing or NoSQL technologies is a plus