Senior Data Scientist (ML & Statistical Modelling)

Pacmed; Amsterdam; On-site; EUR 95,000 - 125,000; Full time

Benefits offered by this job

Stock Appreciation Rights

Development Day

Pension plan

Flexible hours

25 vacation days

Sabbatical option

Lunch provided

Laptop & equipment

Job summary

Pacmed, a Netherlands-based AI healthcare company, is seeking a Senior Data Scientist to own the end-to-end ML lifecycle, from data exploration to production deployment, with a focus on capacity management and hospital-level insights.

You will collaborate with engineers, clinicians, and product managers, work with large heterogeneous clinical datasets, and ensure robust, interpretable models while adhering to medical regulations. Office presence a few days per week.

Qualifications

• At least 5 years of professional ML experience in production.
• Master's degree in Data Science, CS, Statistics or equivalent.
• Fluent English, EU work eligibility for the Netherlands.
• Proven end-to-end ML lifecycle experience from data exploration to monitoring.

Responsibilities

• Own end-to-end ML lifecycle for production models.
• Lead capacity-management modelling and hospital-level insights.
• Collaborate across engineers, clinicians and product managers.
• Ensure code quality, testing and regulatory alignment.

Skills

Python

Machine learning

Data analysis

English proficiency

Team player

Education

Master's degree in Data Science / CS / Statistics

Tools

Pandas/Polars

scikit-learn

Spark

FastAPI

Job description

Do you want to help shape tomorrow’s healthcare with AI? At Pacmed, we combine technology and humanity to keep healthcare accessible and future-proof. We are a growing AI company with solutions already running in multiple hospitals, and we are actively scaling further across the Netherlands.

With our software, we help healthcare professionals make better real-time decisions, use capacity more efficiently, and ensure smooth patient flows, from the emergency department and ICU to the clinic. Our mission is to help hospitals accelerate their care transformation and digitalization goals, so that every patient receives the right care at the right time.

Does this sound exciting? Then we have the perfect role for you! We are looking for a Data Scientist, focussed on machine learning and statistical modelling, who will strengthen our core model-development capacity: making our models better, improving their performance and reliability, and building new ones.

As a Senior Data Scientist, you will sit (or stand, if you prefer) right at the heart of our modelling process. You will report to our Head of Engineering & Data Science, and work closely with a group of talented and driven developers, engineers, data scientists, designers and clinical experts in the Product Engineering team. Your focus will be on the full machine learning lifecycle: improving existing models and building new ones, diving deep into heterogeneous clinical datasets, and delivering production-quality ML. As we move toward capacity management, this increasingly includes statistical modelling beyond single-patient prediction: combining multiple prediction models into unit- and hospital-level capacity insights. We're looking for someone with energy, curiosity, and a product mindset, who takes ownership and is motivated to keep learning, bring new techniques and ideas into the team, and help others grow along the way.

Why Pacmed is a great place to work

• We're a dynamic startup committed to improving healthcare in the Netherlands.
• We're committed to creating an inclusive environment for our team.
• We're a talented bunch dedicated to helping each other grow.
• We foster a culture of kindness and respect.
• We're a team of ambitious and fun-loving people, with regular team events!

What would be expected of you

• Own the development and deployment of machine learning models trained on large-scale medical data end-to-end, improving their predictive performance, calibration, and robustness.
• Lead our statistical modelling for capacity management: combining and extending our prediction models (e.g., admission inflow, discharge, survival models) into unit- and hospital-level insights, with attention to uncertainty, calibration, and simulation of patient flow.
• Drive all stages of the ML process for new products: from problem definition and algorithmic approach through analysis, pipelining, experimentation, interpretation, certification, and implementation, all the way to post-market monitoring and reporting.
• Scope and drive medium- and long-term modelling projects, working with team leads and product managers to plan work and resources.
• Dive into heterogeneous healthcare datasets to improve data quality and model reliability, while building scalable, generic solutions applicable across hospitals.
• Set the bar for methodological and code quality: writing professional, maintainable, well-tested code following best practices for medical applications, and reviewing and mentoring colleagues to do the same.
• Drive R&D and bring new techniques and ideas into the team.
• Use AI tooling wisely and responsibly to assist you in your work.
• Participate in validation and verification activities, according to the latest medical and information security regulations.
• Be present in the office a couple of days per week. We are flexible, and at the same time we love seeing each other regularly and working together in person.

Requirements

• At least 5 years of professional experience developing, deploying, and maintaining machine learning models in production.
• A Master's degree (or equivalent demonstrated experience) in Data Science, Computer Science, Statistics, or a similar field.
• Strong proficiency in Python, including commonly used libraries (e.g., scikit-learn, pandas/polars, numpy), and strong statistical foundations.
• Deep, demonstrated experience across the entire machine learning lifecycle: from data exploration and preprocessing to model experimentation, development, validation, deployment, and monitoring in production.
• Energy, curiosity, a product mindset and a learner's mindset; a good team player.
• Fluency in written and spoken English.
• Eligible to work in the Netherlands (EU). Unfortunately we are not able to sponsor visas at the moment.

At Pacmed, we think there is strength in diversity. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Pacmed encourages you to reconsider and apply! Building responsible AI requires diverse perspectives, equitable practices, and integrity every step of the way. This is our commitment.

The perks our team loves

• You'll get a stake in Pacmed's success through our Stock Appreciation Rights (SAR) program.
• Development Day once a month – spend 5% of your work time for personal development.
• Regular social events, with quarterly outings and yearly off-site.
• Sponsored contribution of an equivalent of 6% of your salary to a private pension fund.
• Extra paid additional birth leave and maternity leave.
• Flexible working arrangements in working hours and working from abroad.
• 25 paid holidays per year based on full time employment.
• The option to buy 5 extra holidays based on full time employment.
• Possibility to take a 3-months sabbatical once employed with a permanent contract.
• Lunch provided daily at the office, with plenty of vegetarian and vegan options.
• A ClassPass and OpenUp subscription.
• Option to customize public holidays: swap some standard public holidays for alternative days to accommodate personal or religious observances.
• Company laptop, phone allowance and home office equipment provided.

Our Tech Stack

Our software is written in Python and Javascript (Typescript), with Azure as our cloud provider. On the data science side, you will work mostly in Python: we process clinical data with Pandas, Polars, and (Py)Spark, and we train and evaluate our models with scikit-learn and related libraries (e.g., scikit-survival, LightGBM). Interpretability and explainability are central to how we build: our predictions only create value when users understand, trust and use them. Around all this sits our product stack — FastAPI, SQL, VueJS, Docker — which you will encounter when your work finds its way into the product. Of course, no single person knows and uses all these tools! So don't worry if you don't know some of them. And if you are curious about any new tool, you will definitely have the chance to pick them up and learn on the job.

At the same time, we are always eager to add beneficial new technologies to our stack. If you want to contribute your expertise with a specific tool that you love, we have a Tech Funnel process to evaluate and possibly adopt anything that might be interesting and beneficial to the team and/or our product.

Growing at Pacmed

At Pacmed we are fully committed to help you grow in the direction that you envision for yourself. Together with your manager, you will craft a development path to guide you in the process. Every quarter you will review your individual growth goals, both with your manager and your team lead, to make sure that you are working on the right things and achieving the goals you have set for yourself.

As a successful Senior Data Scientist, here's an example of what the next years at Pacmed could look like. Of course, this is just a hypothetical path: everyone's professional growth looks different, and every step of the way is highly dependent on a number of factors, including but not limited to one's own performance, but also the needs of the team and the availability of positions.

In the short term (1-2 years), you would establish yourself as a modelling anchor of the team: owning big parts of our data science work; designing and executing complex analyses and experiments; scoping and driving medium- and long-term projects; contributing to the strategic vision of the product and tech team; and helping colleagues grow their modelling skills.

In the longer term (2-5 years), you would deepen either the Individual Contributor or the Manager track. As an individual contributor, you would move into a Staff role, lead the data science and modelling strategy of the team, being responsible for our largest analytical and technical decisions and for delivering data science work of the highest quality. As a Lead/Manager, you would move into leading teams and managing direct reports, contributing to the company and product strategy, helping to draft goals, manage resources, hiring, etc.

We're looking forward to meeting you!