Data science & machine learning · Python · Enterprise delivery

Emil Jakobsen

Data science. Programming. Applied AI.
Seeking hands-on part-time work.

Machine Learning and Data Science student at the University of Copenhagen, seeking hands-on part-time or student work in data science, machine learning, applied AI or software development. I programme in Python and develop my technical skills through university work and independent projects, alongside AI-assisted product development. I bring more than eleven years of enterprise implementation experience from Siemens, ZEISS and TÜV SÜD, with a practical understanding of requirements, complex systems and delivery.

Part-time and student 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.

Enterprise delivery

Global process design and system implementation at Siemens, ZEISS and TÜV SÜD. Senior Global Programme & Project Manager for HCM implementation since January 2024, with functional responsibilities covering 28,000 employees. Part-time since September 2025, focusing on testing alongside my studies.

Practical product judgment

Requirements, functionality, design, bug finding and iterative implementation. A practical focus on useful behaviour, clear requirements and reviewable results.

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.

Nordic Trails homepage with route discovery and trip planning

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 backtest returns fall as assumptions become more rigorous; see research notes for methodologyHistorical research · 2020 start · methodology in the notes

02 / 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.

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.