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If you're interested in data science and looking for an internship in England, you're in luck! There are many opportunities available for aspiring data scientists. In this article, we will explore the requirements for data science intern jobs in England and provide some analysis of what factors are driving the demand for data scientists. By the end of this article, you will have a better understanding of the current state of the data science job market in England and what you need to do to land your dream internship.
Location: Poole, UK
Role: Machine Learning/Data Science Intern
Qualification: Undergraduate studying computer science or a software-biased subject
Skills: Competency in at least 2 programming languages: Python plus one of the following C, C++, C#, Rust or Java, Javascript, and enthusiasm to be learning more.
Responsibilities: Working knowledge of a cloud-based system such as AWS, GCP, or Azure. i.e. possess experience with cloud computing, understand the fundamentals of identity and access management, and have worked on software engineering projects using either infrastructure, platforms, or software as a service. Apply link
Role: Data Science Research Intern
Location: Cambridge, UK
Qualification: B.tech in CSE/MSc
Skills: Experience in Python and, Statistics and Math, SQL, NoSQL, Data Visualization Skills
Responsibilities: Collecting, cleaning, and analyzing large and complex data sets. Creating and utilizing machine learning and statistical models. Communicating insights and recommendations to stakeholders.
Role: Scientific Internships – Machine Learning
Location: Oxford, UK
Qualification: Undergraduate and postgraduate students
Skills: A strong background in mathematics and statistics, and experience with programming languages are typical requirements for an internship in this field.
Responsibilities: Helps to ensure that the algorithms used to make decisions are reliable. It involves ensuring that the data used to train the algorithms is secure and private and that the results of the algorithms are reproducible and can be verified.
Role: Data Analyst Intern
Location: London, UK
Qualification: Undergraduate degree in Accounting, Finance, Economics, Actuarial Science, Mathematics, Statistics, Data Science, Engineering, Science or other numerate degree
Skills: Proficient in R/SQL, Python, and MS Excel, with the ability to execute queries and retrieve data from various platforms.
Responsibilities: Monitor our merchant business's performance about our objectives and determine the reasons behind any over- or under-performance. assist the Enterprise Sales group in making tactical and strategic decisions.
Role: Systems Engineering Intern – 12 Month Internship 2024
Location: Bristol, UK
Qualification: MEng/BEng in an engineering-related subject
Skills: Systems Engineering Management, including Project Planning, Monitoring, and Control, tailoring of generic processes, and input to technical risks and opportunities.
Responsibilities: The successful candidate for this position will be responsible to a SEIT Technical Lead on the allocated scope of work. They will work on system integration, technical management, and the design of systems solutions.
Role: Data and Software Analyst Internship
Location: London, UK
Qualification: Undergraduate studying computer science or a software-based subject
Skills: proficiency in programming languages such as Python, R, SQL, and Java, along with skills in data manipulation, analysis, and software development.
Responsibilities: Responsibilities include collecting, analyzing, and interpreting complex data sets, developing algorithms, and implementing software solutions. Proficiency in programming languages, data visualization tools, and database management is essential for success in this role.
Role: Machine Learning Engineer Summer Intern
Location: London, UK
Qualification: Bachelors degree or in your final year going on to study a Masters, graduating in 2025
Skills: Competency in at least 2 programming languages: Python plus one of the following C, C++, C#, Rust or Java, Javascript, and enthusiasm to be learning more.
Responsibilities: Working knowledge of a cloud-based system such as AWS, GCP, or Azure. i.e. possess experience with cloud computing, understand the fundamentals of identity and access management, and have worked on software engineering projects using either infrastructure, platforms, or software as a service.
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