Data Scientist Internship (ASAP start)

Experience level: Internship Closing date: 30 November 2026 Data Scientist Internship — London (ASAP start) Location: London Duration: 6–12 months (flexible) potential to convert to a permanent role Type: Internship (Full-time) Eligibility & Work Authorisation We cannot accept applications from candidates based in the EU or elsewhere who do not hold UK pre-settled status or another UK visa permitting full-time work . We do not hold a sponsorship licence that permits sponsoring visas for internships. Please do NOT apply if you do not have a legal right to work in the UK during the length of the internship. Location & Commitment This is an on-site role in our London office . Full-time only : please do not apply if you will be in education during the internship—the workload will not allow both commitments. About Alexa Capital Alexa Capital is a specialist investment banking advisory firm focused on clean energy infrastructure and cleantech. We are building a modern, technology-forward practice and are looking for a high-calibre intern who can contribute across both live deal execution and the firm's internal AI and software transformation. We are building an AI-native platform covering investment thesis algo, data enrichment and process automation across both sides of the business with one aim: quality We have a clear roadmap and an AI lead driving it. We’re looking for someone to help accelerate it The Role Work directly with our AI lead to ship the next stages of our AI-native platform roadmap → Build AI agents the team uses every day → See how the team actually uses them, and turn feedback into improvements → Build the firm’s knowledge base of companies, investors, transactions and market data, designed for AI agents to retrieve and use AI & Software Implementation (70%) You will take a hands-on role in identifying, procuring, and deploying AI tools and software to improve how the firm works. This includes evaluating and recommending AI tools (e.g. for document review, financial analysis, research, CRM, workflow automation), leading or supporting procurement - from vendor assessment and trials through to contracting, implementing and integrating new software into existing investment banking workflows, training the team on new tools and driving adoption, and building lightweight internal automations or prompts that increase productivity. Deal Execution & Origination (30%) You will work as part of the deal team on live M&A, capital raising, and strategic advisory mandates, as well as business development and origination efforts. Day-to-day responsibilities include financial modelling and valuation analysis, preparing information memoranda, pitch books, and other client-facing materials, conducting market and sector research, supporting due diligence processes, and assisting with deal management and client communications. Who We’re Looking For We want someone who is genuinely excited by both technology and corporate finance: a tech-driven candidate who wants to pivot into corporate finance, can move fluently between a financial model and a software implementation plan, and is eager to work in an AI-enabled environment where they are willing to spend meaningful time using and developing AI in practice. Specifically: Pursuing or recently completed a degree in either of the following: Finance, Economics, Computer Science, Software Engineering, Business Information Systems, Data Science, Computer Engineering, Management of Digitial Solutions, or related field. A high and demonstrable interest in the rapidly evolving landscape of AI tools and their practical applications - you follow developments closely, experiment with new platforms, and have informed views on where the technology is heading and how it can be applied in professional services. An understanding of how reliable AI agents are built, from the underlying data and retrieval through to evaluating the quality of their outputs Strong financial and analytical skills - comfortable with Excel, valuation methodologies, and accounting concepts. Organised and detail-oriented, able to manage multiple workstreams independently. Excellent written and verbal communication - you will be producing client materials and writing internal documentation. Pragmatic and entrepreneurial - this is a small team where you will have genuine ownership and impact. Prior experience with any of the following is a plus but not required: Python, SQL, CRM systems, workflow automation tools (Zapier, Make, etc.), prompt engineering, or LLM-based tooling. Include a short note on an AI system you’ve built and how it’s architected What You'll Get Direct exposure to live investment banking transactions from origination to execution. The chance to shape how a growing advisory firm adopts AI and technology. Significant responsibility from day one in a lean, senior team. Mentorship from experienced investment banking professionals. A strong foundation for a career in finance, technology or consulting. Next Steps Assessments: Please complete the tests within 48 hours of receipt to be considered. We look forward to receiving and reviewing your application.