Technical Market Mapping Intern
April 02, 2026
by a searcher from Katholieke Universiteit Leuven in London, UK
Technical Market Mapping Intern
Remote or Mayfair, London
Part-time or full-time, minimum 4 to 8 weeks
Immediate start
I run an operator-led acquisition platform focused on acquiring and growing UK SMEs. My background includes founding and exiting a business at scale, leading businesses from zero to over $1bn in revenue, scaling teams to more than 8,000 employees, and six years at McKinsey, and degrees in Computer Science and Engineering.
I am looking for an exceptional technical intern to work directly with me on market mapping, data infrastructure and sourcing workflows. This role is for someone who can use technical skill to bring structure and speed to ambiguous commercial questions.
You will help build the systems and datasets behind our sourcing work: scraping fragmented sources, structuring and cleaning data, enriching records, mapping relevant intermediaries and market participants, and improving repeatable workflows that turn messy information into usable outputs. The emphasis is less on passive desk research and more on building practical infrastructure that improves coverage, precision and throughput.
You will also support ad hoc technical and research requests across the team, helping improve the speed and quality of execution wherever better data, tooling or workflow design can unlock value.
This is not a generic internship and not a passive support role. I want someone who can independently build tools, automate parts of the workflow where useful, and materially improve how we identify and organise relevant opportunity sets.
You should be comfortable with:
• Python
• web scraping
• LLM prompting
• data cleaning and deduplication
• CSV and spreadsheet workflows
• APIs where useful
• building reliable workflows quickly
This role is best suited to someone who is optimising for learning, direct exposure and real responsibility, rather than near-term compensation.
If interested, please send a short note with your LinkedIn profile and include:
1. one example of something you have scraped or automated
2. the most technically difficult thing you have built