Data analytics is the process of collecting, organizing, analyzing, and presenting data to discover patterns, trends, and insights. Data analytics can help businesses make better decisions, improve performance, and gain competitive advantage. Data analytics is also a fast-growing and rewarding career path, as the demand for data-savvy professionals is increasing across various industries and sectors.
If you are interested in pursuing a career in data analytics or want to enhance your existing skills and knowledge, applying for a data analytics internship in London is a great opportunity. In this article, we will explore some of the benefits, challenges, and tips for finding and applying for data analytics internships in London.
Data Analyst Intern
London, UK
Duration of Internship – 12 months starting from July 2024
Description:
The Data Analyst Intern is in charge of assisting the Business Operations team with strategic and tactical decision-making, performance monitoring, and providing actionable customer insights.
The company's operations team seeks out possibilities within the UK company. This might be accomplished by identifying new income streams, addressing unmet consumer demands within the existing merchant portfolio, or generating upsell possibilities. To execute business targets, the team collaborates cross-functionally with other PayPal teams in the UK and throughout the world.
Long Term Internship in London 2024 – Data & AI Lab
Description:
The candidate must use the recent Machine and Deep Learning techniques to construct models for our trading and sales activities, leveraging internal and external data to better the service we provide to Clients while carefully limiting the risk associated with those products.
Create the next generation of Natural Language Processing. All business lines must understand the interface (Speech to Text and Chat to Systems).
Participate in the creation and development of our key research initiatives, such as unsupervised categorization of the behavior of diverse market players, sentiment analysis in chats, or new and improved market making in low or high frequency.
Be able to freely innovate, introducing new techniques or technology as needed.
Data Analyst Intern
Requirements:
A degree in Statistics, Mathematics, Computer Science, or a related discipline is preferred. Strong problem-solving and analytical abilities are required.
Microsoft Excel and/or Google Sheets prowess
Knowledge of statistical analysis tools and methodology
Willingness to learn and take on new challenges. Ability to work alone and as part of a team
Data Analyst Intern
London, UK
Job Description:
Conduct data-driven deep dive study on strategic subjects such as new vertical analysis, merchant churn, and other business-identified strategic themes.
Track our merchant business's performance versus goals, and determine where and why we are outperforming.
Assist the Enterprise Sales team in making strategic and tactical decisions.
To understand previous patterns, use different data/extraction processing approaches (using R/SQL/Python/MS Excel).
Create programming to automate dashboards so that Sales Teams may uncover new prospects.
Summer Data Science Internships 2024
London, UK
Job Description:
Monitor and optimize games during playtesting, assisting game development teams in introducing new features that make our games more interesting.
Optimize the user experience and give insights critical to bringing new games to a global launch.
Examine the influence of marketing initiatives on important business metrics such as player activity, game rounds, and retention, among others.
Participate in creative initiatives aimed at creating robust and scalable solutions to automate chores and characterize and predict our players' behavior.
Understand business challenges and create a framework to handle them by identifying the appropriate data and doing analysis to yield the appropriate suggestions and conclusions.
Understanding level metrics and player growth, as well as suggesting opportunities for improvement based on current statistical models.
Another alternative is to spend all of our time on a research endeavor that will help us understand our players' motives, choices, and their influence on our key KPIs.
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