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senior machine learning scientist Jobs in Amsterdam

senior machine learning scientist

applied scientist

TomTom

<div>
 You'll join the ALF (Localization Features) team within TomTom's ADAS &amp; ADS Product Unit, which develops the HD maps and ADAS technology that powers real-time location intelligence for major automotive and tech companies. ALF is responsible for the localization features layer of the HD map and the ML systems that extract them from real-world sensor data at world scale.
 <br/>
 <br/>
 You'll work shoulder-to-shoulder with applied scientists and software engineers, partner with adjacent teams, and own the quality trajectory of features that ship to customers under product targets.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with a team of senior engineers and applied scientists to develop high-quality algorithms and ML software that powers TomTom's HD maps for ADAS.
  </li>
  <li>
   Contribute to the design, implementation, and integration of algorithms, ML systems, and data pipelines within your area of focus, from problem framing through experimentation to production rollout.
  </li>
  <li>
   Contribute to measurable improvements in output quality (recall, precision, latency, cost) against hard customer-facing targets.
  </li>
  <li>
   Own well-scoped components within the team's processing pipelines, from upstream input data through algorithmic and ML processing to validated outputs published to downstream consumers.
  </li>
  <li>
   Tackle complex technical problems at scale noisy upstream signals, geospatial geometry, ground truth quality, and large-scale evaluation pipelines.
  </li>
  <li>
   Build iteratively using agile methodologies and rigorous experimentation; document outcomes so the team can build on them.
  </li>
  <li>
   Support junior engineers and interns, and contribute to hiring as an interviewer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of professional Applied Science, Machine Learning, algorithm development, or related experience.
  </li>
  <li>
   Bachelor's degree (minimum) in Computer Science, Machine Learning, Computer Vision, Geospatial Science, Statistics, or a related quantitative field. Master's or PhD a plus.
  </li>
  <li>
   Solid fundamentals in algorithm design and analysis data structures, complexity reasoning, and applied algorithms for geospatial and signal-processing problems.
  </li>
  <li>
   Solid fundamentals in machine learning model training and evaluation, statistics, and experimental design.
  </li>
  <li>
   Proficiency in Python; experience with at least one ML framework (PyTorch, TensorFlow, or equivalent) and at least one large-scale data processing framework (Spark, Databricks, or equivalent).
  </li>
  <li>
   Experience taking algorithms, ML models, or data pipelines into production, not just running experiments offline.
  </li>
  <li>
   Breadth across applied science comfortable working across algorithms, modeling, evaluation, ground truth quality, and methodology. You should be able to pick up a new sub-domain quickly rather than only operating in a single area of expertise.
  </li>
  <li>
   Working familiarity with several of the following (in depth experience is not needed) algorithm design for geospatial and geometric problems (polygon geometry, map-matching, spatial indexing), classical ML and clustering on noisy sensor data, computer vision (detection, segmentation), data and ML pipelines at scale (training pipelines, MLOps, dataset generation).
  </li>
  <li>
   Comfortable with written and verbal communication in English.
  </li>
  <li>
   Curiosity and desire to learn, and to expand your skill set across the ML stack.
  </li>
  <li>
   Ability to solve a complex problem on your own by leveraging experience, peers, and other resources.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 A competitive compensation package, of course.
 <br/>
 <br/>
 Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.
 <br/>
 <br/>
 Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
 <br/>
 <br/>
 Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.
 <br/>
 <br/>
 Improve your home office with a setup budget and get extra support with a monthly allowance.
 <br/>
 <br/>
 Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.
 <br/>
 <br/>
 Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
 <br/>
 <br/>
 Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.
 <br/>
 <br/>
 Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!
 <br/>
 <br/>
 Find out more about our global benefits and enjoy additional local benefits tailored to your location.
 <br/>
 <br/>
 <strong>
  Meet your team
  <br/>
  <br/>
 </strong>
 We are the ADAS &amp; ADS Product Unit, leading the production of TomTom&rsquo;s HD maps and ADAS technology.
 <br/>
 <br/>
 In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you&rsquo;ll collaborate on groundbreaking location-based technologies and applications.
 <br/>
 <br/>
 More specifically, you&rsquo;ll be at the forefront of the creation of advanced HD maps. You&rsquo;ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.
 <br/>
 <br/>
 <strong>
  At TomTom...
  <br/>
  <br/>
 </strong>
 You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.
 <br/>
 <br/>
 Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.
 <br/>
 <br/>
 <strong>
  After you apply
  <br/>
  <br/>
 </strong>
 Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs .
 <br/>
 <br/>
 <strong>
  TomTom is an equal opportunity employer
  <br/>
  <br/>
 </strong>
 TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you,
 <em>
  you
 </em>
 . No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Applied Scientist

<div><p>We are looking for an Expert Applied Scientist to join the Speeds VS team, leading end‑to‑end machine learning and data-driven initiatives that improve the quality, scalability, and automation of speed limit data and map consistency.</p><div><br>
</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3><div>
<ul><li>Design and deploy ML and data-driven solutions to detect, validate, and reduce map quality issues (e.g. data drift, feature distribution shifts across countries, road classes, and sources).</li>
<li>Define and drive data analysis and model evaluation standards, including advanced and segmented performance metrics.</li>
<li>Lead the productionization of models and data pipelines, working closely with engineers and data engineers, including pipeline optimization.</li>
<li>Build and improve end-to-end automated workflows (from issue detection to resolution and closure), minimizing manual processes.</li>
<li>Perform code reviews and optimization, ensuring high-quality, production-ready solutions.</li>
<li>Mentor and guide less experienced scientists; contribute to planning and coordination of data science initiatives.</li>
</ul></div><h3 class="jobSectionHeader"><b>What You'll Need</b></h3><div>
<ul><li>4+ years of experience in data science / applied science roles (Senior level).</li>
<li>Strong expertise in machine learning (supervised, unsupervised, and dimensionality reduction techniques) and model selection.</li>
<li>Excellent Python skills and experience with large-scale data processing (e.g. Spark, big data environments).</li>
<li>Proven experience in building and deploying data pipelines and ML solutions in production.</li>
<li>Strong communication skills and ability to explain complex concepts to both technical and non-technical stakeholders.</li>
</ul></div><h3 class="jobSectionHeader"><b>What's Nice to Have</b></h3><div>
<ul><li>Experience with geospatial or road network data.</li>
<li>Experience with ML experimentation and monitoring tools (e.g. MLflow, Databricks).</li>
<li>Experience in Java and related technologies</li>
</ul></div><div><b>What we offer<br>
</b></div><div></div><br>
<div>A competitive compensation package, of course.</div><div></div><div><br>
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.</div><div></div><div><br>
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.<br>
</div><div></div><br>
<div>Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.</div><div></div><div><br>
Improve your home office with a setup budget and get extra support with a monthly allowance.</div><div></div><div><br>
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.</div><div></div><div><br>
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.</div><div></div><div><br>
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.</div><div></div><div><br>
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!</div><div></div><div><br>
Find out more about our global benefits and enjoy additional local benefits tailored to your location.</div><div></div><div><b><br>
Meet your team</b></div><div></div><div><br>
We&rsquo;re Maps, a global team within TomTom&rsquo;s Location Technology Products technical unit. Our team is driven to deliver the most up-to-date, accurate and detailed maps for hundreds of millions of users around the world. Joining our team, you&rsquo;ll continuously innovate our mapmaking processes, directly contributing to our vision: engineering the world's most trusted and useful map.</div><div></div><div><b><br>
At TomTom...</b></div><div></div><div><br>
You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.</div><div></div><div><br>
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.</div><div></div><div><b><br>
After you apply</b></div><div></div><div><br>
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.</div><div></div><div><b><br>
TomTom is an equal opportunity employer</b></div><div></div><div><br>
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, <i>you</i>. No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Expert Applied Scientist

Solid Professionals

<div>
 <p>
  <strong>
   Introduction
  </strong>
 </p>
 <p>
  As a GenAI Data Scientist, you will develop and implement AI solutions that help organizations improve decision-making, operational efficiency, and risk management. You will work in complex corporate environments where business, data, and technology come together to solve challenging problems. In this role, the focus is on creating Generative AI solutions that deliver measurable business value within highly regulated environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your role
  </strong>
 </p>
 <p>
  As a GenAI Data Scientist, you will be responsible for designing, developing, and implementing Generative AI solutions that support complex business processes. You will translate business challenges into practical AI applications and contribute throughout the entire lifecycle, from identifying opportunities and preparing data to building, testing, and deploying solutions into production.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will work extensively with unstructured data and Large Language Models (LLMs). This involves evaluating different models, architectures, and implementation approaches to determine the most suitable solution for a given use case. Topics such as Retrieval Augmented Generation (RAG), Natural Language Processing (NLP), agentic workflows, and AI evaluation frameworks will be central to your work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Within multidisciplinary teams, you will collaborate closely with business stakeholders, data professionals, and IT specialists. Depending on your experience level, you may focus on developing specific AI solutions or take a leading role in shaping architecture decisions, best practices, and the broader AI roadmap. The emphasis is on building solutions that move beyond experimentation and deliver real impact in production environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we are looking for
  </strong>
 </p>
 <ul>
  <li>
   A completed Master's degree or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field
  </li>
  <li>
   At least 3 years of relevant experience as a Data Scientist
  </li>
  <li>
   Strong experience with Python and the development of machine learning and AI solutions
  </li>
  <li>
   Experience with Generative AI, Large Language Models (LLMs), and GenAI use cases
  </li>
  <li>
   Knowledge of frameworks and concepts such as RAG, NLP, LangChain, DSPy, agents, or similar technologies
  </li>
  <li>
   Experience working with and transforming unstructured data
  </li>
  <li>
   Experience with cloud platforms, preferably Azure
  </li>
  <li>
   Knowledge of Git, data engineering concepts, and IT architecture
  </li>
  <li>
   Experience working in Agile environments and multidisciplinary teams
  </li>
  <li>
   Experience within financial services, FEC, KYC, CDD, or AML
  </li>
  <li>
   Strong English communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  Through Solid Professionals, you will work on one substantive assignment with one client at a time. You will be employed by us for the duration of that assignment. This provides focus and clarity, with a single assignment and an employment contract aligned to the duration of the engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you can expect
  </strong>
 </p>
 <ul>
  <li>
   A competitive salary aligned with your experience
  </li>
  <li>
   Challenging assignments within complex financial environments
  </li>
  <li>
   Opportunities for professional growth and specialization
  </li>
  <li>
   About Solid Professionals
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Solid Professionals connects finance, risk, data, and IT professionals with organizations where quality and expertise are central. We combine strong assignments with personal guidance and actively support you in taking the next step in your career.
 </p>
</div>


Data Scientist GenAI

Booking.com

<div>Role Description:
<h2 class="jobSectionHeader"><b>About Us</b></h2><p>
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.</p><h2 class="jobSectionHeader"><b>
About the team</b></h2><p>
This opening is for the ABU ML team within Margin Management of the Accommodation Business Unit (ABU).</p><p>
The ABU ML team develops causal machine learning systems that power one of Booking.com&rsquo;s biggest customer acquisition channels. We predict which promotional investments will drive genuinely incremental demand and deploy these models in production at scale. The work involves uplift modeling, causal inference under marketplace interference, neural network design for structured data, and rigorous online experimentation.</p><p>
The team actively contributes to the research community, our recent work &ldquo;Converted Data is All You Need for Causal Optimization of e-Commerce Promotions&rdquo; was published at ACM CIKM 2025. We encourage publishing and conference participation when the work advances the state of the art.</p><h2 class="jobSectionHeader"><b>
Role Description</b></h2><p>
As a Senior Machine Learning Scientist, you will design, build, and deploy uplift models and causal inference systems that allocate promotional spend across Booking.com&rsquo;s accommodation marketplace. The role combines causal methodology, neural network architecture design, and production ML &mdash; with your work validated through large-scale A/B experiments. There are opportunities to publish applied research at top venues when the work contributes novel methodology.</p><h2 class="jobSectionHeader"><b>
Key Job Responsibilities and Duties:</b></h2><ul><li><p>
Design and deploy uplift models that estimate heterogeneous treatment effects, optimising incremental return on investment under budget constraints.</p></li><li><p>
Design and execute causal inference methodologies; including observational debiasing (IPW, doubly robust estimation), sensitivity analysis, and interference-aware evaluation to close the gap between offline metrics and online impact.</p></li><li><p>
Advance the team&rsquo;s neural network architectures for uplift modeling on tabular data (attention mechanisms, multi-head designs, self-supervised pretraining), balancing model expressiveness with production latency requirements.</p></li><li><p>
Research marketplace interference and cannibalization; building frameworks to measure and correct for demand shifting when partial treatment is applied across competing properties.</p></li><li><p>
Develop offline evaluation methods that reliably predict online performance, accounting for biases introduced by non-stationary treatment policies and interference effects.</p></li><li><p>
Own models end-to-end; from research through A/B experimentation to production calibration.</p></li><li><p>
Collaborate cross-functionally with ML engineers on pipeline and serving design, with data scientists on feature engineering, and with product and business stakeholders on spend strategy and ROI trade-offs.</p></li><li><p>
Actively coach and mentor less experienced team members, setting technical direction and providing guidance on causal modeling best practices.</p></li></ul><h2 class="jobSectionHeader"><b>
Qualifications &amp; Skills:</b></h2><ul><li><p>
MSc or PhD (or equivalent experience) in a quantitative field such as Computer Science, Statistics, Economics, Econometrics, Operations Research, Mathematics, or Physics.</p></li><li><p>
Relevant professional or academic experience applying Machine Learning to business problems (typically MSc + 4 years, or PhD + 2 years).</p></li><li><p>
Advanced knowledge and experience in Causal Inference, Uplift Modeling, or Treatment Effect Estimation. Experience with heterogeneous treatment effects, interference / spillover effects, or policy learning is highly valued.</p></li><li><p>
Proven track record designing and executing end-to-end R&amp;D plans, and generating measurable impact through large-scale ML model development. Evidence such as peer-reviewed publications, patents, or open-source contributions is a plus.</p></li><li><p>
Strong proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch, LightGBM, XGBoost).</p></li><li><p>
Solid understanding of experimental design, A/B testing, and statistical methodology &mdash; including awareness of SUTVA violations, selection bias, and observational study limitations.</p></li><li><p>
Experience working with large-scale data systems and production ML pipelines (Spark, Airflow, or similar).</p></li><li><p>
Experience with neural network design for structured/tabular data (embeddings, attention, multi-task architectures) is a strong plus.</p></li><li><p>
Experience collaborating cross-functionally with developers, analysts, product managers, and other scientists to deliver ML-powered products.</p></li><li><p>
Excellent English communication skills, both written and verbal. Ability to communicate complex causal reasoning clearly to both technical and non-technical audiences.</p></li><li><p>
Successfully driving technical initiatives and cross-team collaboration while communicating with stakeholders at all levels.</p></li></ul><p></p><p><b><br>
Benefits &amp; Perks - Global Impact, Personal Relevance:</b></p><p>
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:</p><ul><li><p>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</p></li><li><p>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</p></li><li><p>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</p></li></ul><p></p><p><b><br>
Inclusion at Booking.com:</b></p><p>
Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.</p><p></p><p><br>
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo;</p><p></p><p><br>
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.</p><p></p><p><b><br>
Application Process:</b></p><ul><li><p>
Let&rsquo;s go places together: How we Hire</p></li><li><p><b>
This role does not come with relocation assistance.</b></p></li></ul><p>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</p></div>

Senior Machine Learning Scientist - ABU

Invest-NL N.V.

<div><p>We believe the Netherlands needs to become more sustainable and innovative. Fortunately, there are many entrepreneurs with strong plans for the future. Invest-NL exists to finance and support them. We do this with courage, decisiveness, and enthusiasm. Will you join us?</p><p>
For the Invest-NL data team, we are looking for a working student who will help our data scientist for advanced analytics projects, and our development team for building our data platform, which will be the single source of truth for reporting and BI.</p><p>
The data team is still growing and currently consists of six team members including a teamlead, a data scientist, a data engineer, a BI analyst, a PowerBI developer, and a working student.
</p><p></p><p><b>This is what you will do</b></p><p>
As a working student in the data team, you will be directly involved in data analytics and product development projects, under the supervision of our data scientist and data engineer. The responsibilities include:</p><ul><li>
Assist in the design, implementation and validation of data analytics projects for business stakeholders;</li><li>
Helping with the development of the internal data platform and infrastructure;</li><li>
Collaborate with other colleagues (such as business developers or investment managers) and external parties (such as industry experts) to better understand their requirements.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
Strong foundation in data science concepts;</li><li>
Experience with Python programming;</li><li>
Hands on experience with LLM API/MCPs;</li><li>
Strong communication skills, with the ability to explain complex technical concepts to non-technical colleagues;</li><li>
Strong foundation in data engineering, including SQL, ELT, ETL concepts;</li><li>
Experience with Databricks &amp; GitHub, experience with Streamlit is a plus;</li><li>
Basics in data modelling understanding.</li><li>
Basic understanding of cloud concepts (Azure/AWS/GCP);</li><li>
Ability to work collaboratively in a scrum team environment;</li><li>
Previous experience with project work or internships related to data science or engineering is a plus;</li><li>
Fluent in spoken and written English. (Dutch is a plus).</li></ul><p></p><p><b>
We offer</b></p><p>
As a Working Student within the Data team at Invest-NL, you will work together with a passionate team on building a better future. You can count on a pleasant and open working environment, inspiring work, and plenty of room to develop yourself. Our employment conditions are also attractive:</p><ul><li><b>
Salary</b>: &euro;2,400 per month based on a 36-hour workweek;</li><li><b>
Flexible compensation</b>: A Benefit Budget worth 20.95% of your monthly salary. This consists of 8% holiday allowance, 8.33% year-end bonus, and a personal budget of 4.615% representing above-statutory leave (86.4 hours per year based on a 36-hour workweek);</li><li><b>
Leave:</b> Attractive and flexible leave arrangements;</li><li><b>
From A to Sustainable</b>: Sustainable mobility policy, including private use of public transport;</li><li><b>
For the future</b>: A solid pension plan (including a 2% personal contribution and a high employer contribution, depending on age, ranging from approximately 15% to 35%);</li><li><b>
Room for social impact:</b> Up to 2 Impact Days per year for volunteer work during working hours;</li><li>
And although not an employment condition, certainly just as important: driven colleagues to work with. Shared lunches twice a week, fun outings, and sporting activities (such as Cycling 4 Climate and padel tournaments).</li></ul><p><b>
Are you the one we&rsquo;re looking for?</b></p><p>
We would love to receive your application before July 6, 2026! Do you have any questions? Please contact Lucas Erkens at (lucas.erkens@invest-nl.nl). Our selection process consists of two interview rounds. You will receive a response within two weeks after the closing date. We reserve the right to close the vacancy earlier as soon as enough suitable applications have been received.</p><p>
Invest-NL aims to be an attractive employer for diverse talent that wants to make a difference. We foster a team where you can be yourself, where everyone has equal opportunities, and where people can reach their full potential, regardless of gender, background, age, disability, religion, or sexual orientation. Diverse perspectives and backgrounds make us stronger. This helps us stay connected to society and strengthens our collective thinking power.</p><p>
Screening is part of the application process and will take place after agreement on employment conditions has been reached.</p></div><p></p>

Working Student Data (24-hours)

Levy Professionals

<div><p>ABOUT YOU</p>
<p>
You are a Data Scientist with a passion for Generative AI and a strong engineering mindset. You enjoy turning business challenges into scalable AI solutions and thrive in collaborative environments where innovation, ownership, and continuous learning are encouraged. You are comfortable working across the full lifecycle of AI products, from experimentation and model development through to deployment and production support, while keeping business impact at the centre of your work.</p>
<p>
WHAT ARE YOU GOING TO DO</p>
<ul><li>Design, build, test, deploy, and maintain scalable Generative AI solutions in production environments</li><li>Work closely with business stakeholders to understand challenges and translate them into impactful AI-driven solutions</li><li>Develop reusable GenAI components and contribute to the adoption of AI capabilities across multiple business domains</li><li>Collaborate with engineers, product specialists, and fellow data scientists to deliver high-quality and responsible AI applications</li><li>Contribute to MLOps, LLMOps, automation, monitoring, and continuous improvement of AI solutions</li></ul>
<p>
AN IDEAL PROFILE WOULD BE</p>
<ul><li>5+ years of experience as a Data Scientist or in a similar role with strong Python development skills</li><li>Experience with NLP, LLMs, Generative AI applications, and model development, deployment, and monitoring</li><li>Strong engineering capabilities including Git, CI/CD, APIs, cloud platforms, containerisation, ETL processes, and database technologies</li><li>Experience working with MLOps, LLMOps, DevOps, and cloud-based production environments such as Azure</li><li>Strong communication skills with the ability to collaborate across technical and non-technical stakeholders while coaching and sharing knowledge with others</li></ul>
<p><b>
Contract Duration:</b> Until December 2026, possibility for an extension</p>
<p><b>
Work Model:</b> Hybrid (2 days in office)</p>
<p><b>
Sponsorship: </b>Yes</p>
<p><b>
Open to ZZP as well.</b></p>
<p>
Tick all the boxes? Then smash that button and let&rsquo;s have a chat.</p>
<p>
ABOUT US:<br>
Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.</p></div><p></p>

Data Scientist (Agentic AI)

Promptwatch

<div>
 Data Scientist
 <br/>
 <br/>
 Amsterdam
 <br/>
 Full-time
 <br/>
 Medior-Senior (4+ YOE)
 <br/>
 &euro;60,000 - &euro;85,000
 <br/>
 <br/>
 Promptwatch sits on one of the richest datasets in AI Search: real AI responses across ChatGPT, Claude, Gemini, and Perplexity, combined with billions of crawler logs and clicks. We ingest around 2,000 events per second of crawler logs, CDN data, and clickstream data, on top of huge volumes of unstructured AI response text. As a Data Scientist, you'll turn this data into the metrics, models, and insights that define how agentic AI Search is measured and improved.
 <br/>
 <br/>
 This is a high-impact, hands-on role. You'll work closely with Product and Engineering to design visibility and sentiment metrics, surface trends across millions of AI answers, and build the analytical foundation that our customers and our public research rely on. Working with large amounts of unstructured data, vector search, and embeddings is at the heart of the role.
 <br/>
 <br/>
 What You'll Do:
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 <br/>
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
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 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
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 Make sense of large amounts of unstructured AI response text using embeddings and vector search
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 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
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 Develop reproducible analyses and pipelines that scale with our growing dataset
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 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
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 Validate data quality and define methodologies that customers can trust
 <br/>
 What
 <br/>
 <br/>
 We're Looking For:
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 <br/>
 4+ years experience in data science, analytics, or a quantitative research role
 <br/>
 Strong proficiency in Python and SQL for data analysis
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 Solid foundation in statistics, experimentation, and ML fundamentals
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 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
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 Hands-on experience with vector search and embeddings
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 Ability to translate ambiguous questions into clear, measurable analyses
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 Strong communication skills to present findings to technical and non-technical audiences
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 Curious and excited about AI, search, and emerging buyer behavior
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 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
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 <br/>
 Nice to Have:
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 <br/>
 Experience with NLP or working with LLM outputs
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 Background in SEO, search, or marketing analytics
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 Experience building data visualizations or dashboards
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 <br/>
 Compensation
 <br/>
 Salary: &euro;60,000 - &euro;85,000 (depending on experience)
 <br/>
 <br/>
 Perks: Great office location, team off-sites, company and team sports activities
</div>


Data Scientist

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