Enterprise delivery
Global process design and system implementation at Siemens, ZEISS and TÜV SÜD. Current Senior Global Programme & Project Manager for HCM implementation, with functional responsibilities covering 28,000 employees.
Data science & machine learning · Python · Enterprise delivery
Emil Jakobsen
Experienced in implementation.
Developing the technical craft.
Enterprise delivery professional with more than eleven years of experience translating complex processes and stakeholder needs into implemented systems. Currently studying Machine Learning and Data Science at the University of Copenhagen and developing hands-on capability through Python programming, data tools and applied-AI projects. Seeking a hands-on part-time role in data science, machine learning or applied-AI development, combining analysis, model evaluation and software implementation alongside experienced colleagues.
Part-time opportunities in Copenhagen; hours and start date by agreement alongside current employment and study. Expected graduation: June 2028.
What I bring
From requirements
to a reviewed result.
Practical product judgment
Requirements, functionality, design, bug finding and iterative implementation. Clear ownership of what the tool needs to do, with AI coding contributions explicitly credited.
A developing technical base
Original Python programming in the dividend dashboard, university programming and ongoing ML/data-science study. My learning priorities include mathematics, probability, statistics, algorithms and predictive modelling. Programming tutor at DUOS, March–July 2026, supporting a student through a successful university re-examination. Seeking code review and shared engineering standards in my next role.
Selected projects
Selected work.
Work in quantitative analysis, information retrieval and product development. Each note explains my contribution.
01 / Live product
Nordic Trails
A hiking-planning platform shaped around routes, gear and the practical details of a trip.
Product direction, functionality & design · Claude Code build
The product and my role →When the benchmark gets stricter
Historical research · 2020 start · methodology in the notes02 / Research tool
Dividend dashboard
An original Python dashboard expanded with Claude into a research system for portfolio backtesting, benchmark comparisons and paper trading.
Original programming · Claude-assisted benchmark engine
Read the research notes →03 / Local AI experiment
Archat
A small local AI assistant for Danish building specifications, exploring document search, chat and Word-template drafting.
Small MVP · Qwen3.5 4B · Jetson Orin Nano
Explore the MVP →04 / Internal tool
JA Tracker
A personal tool for planning work, study, projects and available time.
Project manager, customer & product owner · Claude-built
See the workflow →Education & context
Building technical depth.
BSc Machine Learning and Data Science, University of Copenhagen — in progress, expected June 2028. My current development priorities span the mathematical foundations of ML, statistical reasoning, algorithms and programming. These are learning areas, rather than a claim that every corresponding course is complete.
Earlier degrees include an Executive MBA from IESE and business-administration degrees from CBS and Roskilde University.
I’m looking for substantial hands-on programming, ownership of the code I contribute and active participation in technical decisions. AI tools can help me explore, debug and review. I want to develop through code review and collaboration with experienced engineers, while bringing clear requirements, delivery judgment and an interest in how the whole system works.