And how to achieve it with no current tech knowledge

It is 8:45 in the morning. Coffee is on the desk. There is no commute, no badge to scan, no meeting room to find. Welcome to a fairly normal Tuesday for a remote data scientist.

Here is what the rest of the day looks like, and exactly how Amsterdam Tech designs its programs to get you there, even if you are starting completely from scratch.

Morning: The Quiet Hours

The first two hours go to the deepest work. Cleaning a messy dataset, exploring patterns, writing a small notebook that will grow into a bigger analysis. Most data scientists protect this stretch from meetings. Music on, headphones in, focus locked.

By 10:30, a short stand-up call lands. Five minutes per person, four people, done. The afternoon plan is set.

You don’t learn this level of deep focus by cramming for traditional exams. Amsterdam Tech’s BSc in Data Science replaces endless lectures with weekly project flows. You sync with a mentor, collaborate with an online community of peers via dedicated Slack channels, and submit practical assignments by the end of the week, mirroring the exact rhythm of a professional tech team.

Afternoon: Where Curiosity Earns its Keep

A product manager wants to know why a sign-up flow is leaking users in week two. The data scientist pulls the relevant numbers, finds three suspicious points, and records a short video summarizing what the data is saying. By 1:00 PM, the team has a clear picture and a decision to make.

This is the part of the job most people don’t see. It is not only about math models; it is about asking the right questions and translating the answers for business teams.

Afternoon: The Build

A few hours go into a longer-running project, maybe a recommendation model or a forecasting pipeline. The daily stack usually includes:

• Python & SQL: The fundamental languages ​​of data.
• Jupyter Notebooks: For shared, interactive experimentation.
• Git & GitHub: To manage code versions seamlessly.
• Data Visualization Tools: To make complex statistics digestible for stakeholders.

By 5:00 PM, the model is saved, the notes are written, and the laptop closes.

Amsterdam Tech’s curriculum is built backwards from the job market. From day one, you dive into Python essentials, dataframes, and statistical inference. 

Because the learning is entirely practice-based, you graduate with a robust portfolio of real-world projects to show prospective employers proving you can do the work from day one.

Why this Lifestyle Suits Learners

The work of a data scientist is already remote-first, flexible, and global.It only makes sense that your preparation should match that reality.

Amsterdam Tech’s online Bachelor’s program gives you the flexibility to balance your studies with your current life, but you won’t be studying in isolation. With weekly interactive workshops, group coaching, and direct mentoring from industry professionals, you build the essential “soft skills” like communication, leadership, and agile teamwork that set top-tier data scientists apart.

Milestone Certifications as You Learn

Rather than making you wait three full years to show value to employers, Amsterdam Tech structures its BSc degree to reward your progress with industry-recognized milestones along the way.

Take the First Step (For Free)

If you have zero tech experience and want to test the waters before committing to a full degree, Amsterdam Tech offers a 12-week, fully online, free Foundations of Data Science course.You will master Python basics, strengthen your statistical thinking, and get instant coding help from an AI-powered support bot alongside human mentors.

Completing the foundations course even earns you a €200 discount and automatic passage into Amsterdam Tech’s advanced qualification tracks.

What would your own ideal working day look like once you have the skills to design it?