BlockX AI Limited
Artificial Intelligence Intern

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Company Description
BlockX AI Limited builds practical blockchain and AI products that address real-world business challenges. The company develops smart contracts, decentralized applications (dApps), custom AI systems, crypto infrastructure, and Web3 integrations. BlockX AI Limited has delivered solutions for more than 400 organizations across finance, healthcare, logistics, real estate, and retail, working with ecosystems such as Ethereum, Polkadot, and Solana. Based in London but operating globally, the team focuses on scalable, secure, and innovative technologies that drive digital transformation.
Role Description
As an Artificial Intelligence Intern at BlockX AI Limited, you will support the design, development, and evaluation of AI models and data-driven solutions. Day-to-day tasks include:
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Graduate Consultant — 2026 Scheme
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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- Assisting with data collection and preprocessing
- Implementing and testing machine learning algorithms
- Contributing to prototype AI features for blockchain and Web3 products


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You will collaborate with engineering and product teams to document findings, prepare technical reports, and refine models based on performance metrics. This is a remote internship role, offering mentorship and exposure to real-world projects in AI, data science, and decentralized technologies.
Qualifications
- Foundational knowledge in Computer Science, including data structures, algorithms, and software development concepts.
- Strong Analytical Skills with the ability to interpret data, identify patterns, and solve problems systematically.
- Exposure to Data Science and Machine Learning, including model training, evaluation, and basic statistical methods.
- Programming skills in languages commonly used for AI and data science (e.g., Python, R, or similar), and familiarity with relevant libraries and frameworks.
- Enrollment in or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Interest in blockchain, crypto, and Web3 technologies; prior coursework or personal projects in these areas is a plus.
- Ability to work independently in a remote setting, communicate clearly, and collaborate within distributed teams.
- Curiosity, willingness to learn new tools and methodologies, and openness to feedback and mentorship.
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