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data scientist

data & ml infrastructure engineer Jobs in Amsterdam

data & ml infrastructure engineer

data scientist - ai strategy team Jobs in Amsterdam

data scientist - ai strategy team

senior data engineer

analytical data scientist

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:
 <br/>
 <br/>
 Design and refine metrics for brand visibility, citations, and sentiment across AI assistants
 <br/>
 Analyze large-scale, high-velocity datasets (~2,000 events/second of crawler logs, CDN, and clickstream data) to surface actionable trends
 <br/>
 Make sense of large amounts of unstructured AI response text using embeddings and vector search
 <br/>
 Build statistical and ML models to detect patterns in how AI systems retrieve, rank, and cite content
 <br/>
 Develop reproducible analyses and pipelines that scale with our growing dataset
 <br/>
 Produce public-facing research and reports that establish Promptwatch as a thought leader in AI search space.
 <br/>
 Validate data quality and define methodologies that customers can trust
 <br/>
 What
 <br/>
 <br/>
 We're Looking For:
 <br/>
 <br/>
 4+ years experience in data science, analytics, or a quantitative research role
 <br/>
 Strong proficiency in Python and SQL for data analysis
 <br/>
 Solid foundation in statistics, experimentation, and ML fundamentals
 <br/>
 Experience working with large, messy, real-world datasets, including high volumes of unstructured text
 <br/>
 Hands-on experience with vector search and embeddings
 <br/>
 Ability to translate ambiguous questions into clear, measurable analyses
 <br/>
 Strong communication skills to present findings to technical and non-technical audiences
 <br/>
 Curious and excited about AI, search, and emerging buyer behavior
 <br/>
 Familiarity with data warehouses and analytics tooling (e.g. BigQuery, Tinybird/ClickHouse, Elasticsearch)
 <br/>
 <br/>
 Nice to Have:
 <br/>
 <br/>
 Experience with NLP or working with LLM outputs
 <br/>
 Background in SEO, search, or marketing analytics
 <br/>
 Experience building data visualizations or dashboards
 <br/>
 <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

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

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)

ABN AMRO

<div>Data Scientist - AI Strategy Team<div><div><div><h2 class="jobSectionHeader"><b>
At a glance</b></h2></div><div><p>
Are you ready to use your Data Science skills to make a real impact in the Finance &amp; Risk Data Domain? Do you thrive on Python, GenAI, Spark, Databricks, ML and Azure? If so, then the role of Data Scientist in the Common Data team is an interesting position for you and we&rsquo;d love to meet you!</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your job</b></h2></div><div><ul><li>
You don&rsquo;t just build smart AI solutions, you shape the future of how we work.</li><li>
You spot opportunities before others do, experiment iteratively, involve stakeholders from the start, and turn promising ideas into valuable, scalable (Gen)AI products.</li><li>
We run several (Gen)AI applications, from data quality optimization models to automated reporting and signalling clients in distress, all used daily by colleagues across the organization.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Working environment</b></h2></div><div><p>
The Finance &amp; Risk Data Domain is part of Finance &amp; Risk Business Grids (F&amp;RBG), and plays an active role for all the Finance and Risk departments. We employ 200+ international professionals with different backgrounds who are driven to bring risk data management to a structurally higher level. Our aim is to generate reliable risk data on time. We do this by improving the risk data itself, data systems and data processes. We work with an Agile operating model. Our Finance and Risk Data Domain consists of 7 departments where the atmosphere is dynamic, open and informal.</p><p></p><p><br>
You are part of the AI Strategy Team in the Centre of Expertise Advanced Analytics &amp; Artificial Intelligence department. You will report to the Business Lead CoE AA &amp; AI.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your profile</b></h2></div><div><p>
You have an interest and experience in AA &amp; AI. You are a passionate, hard-working professional with an eye for details. You are able to execute assignments independently as well as interact directly with stakeholders when it comes to day-to-day matters.</p><p></p><p><br>
Do you think you fit in with us? Check your profile:</p><p></p><p><br>
You are a curious, pragmatic developer with 3+ years of experience in Data Science or AI Engineering. You:</p><ul><li>
Translate business challenges into workable AI models effortlessly and explain complex topics with clarity and impact</li><li>
Enjoy working in multidisciplinary teams and are confident collaborating with (senior) stakeholders</li><li>
Have a learning mindset with a willingness to continue to grow and a broad interest in a variety of data science topics</li><li>
Are pragmatic and look for the simplest solution first</li><li>
Take ownership of your work and work in a structured way</li><li>
Have hands‑on experience with Python, Spark, SQL, Databricks, Azure, basic ML-models, pipeline structuring and optimization techniques</li><li>
You are capable of giving and asking for feedback.</li><li>
You have worked in and/or with Scrum/DevOps teams.</li><li>
Excellent oral and written communication skills in English with strong stakeholder management skills.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
We are offering</b></h2></div><div><p>
There are plenty of career opportunities to grow personally and professionally, which mainly depend on your own ambitions and interests.</p><p></p><p><br>
In addition, we offer:</p><ul><li>
The Benefit Budget is 11% of your salary. The Benefit Budget allows you to acquire additional employment benefits. If you make no purchases or reservations in the Benefit Shop in a given month, you are paid one twelfth of your Benefit Budget that month.</li><li>
Five weeks of vacation per year. You have the option to purchase an additional four weeks per year.</li><li>
Personal development Budget of &euro; 1,000 per year, which you can accumulate up to &euro; 3,000.</li><li>
Possibility to work from home (in consultation with your team and depending on your position).</li><li>
An annual public transport pass with free public transportation throughout the Netherlands.</li><li>
An excellent pension scheme.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Interested?</b></h2></div><div><p>
Do not hesitate to approach us for more details, or apply directly! For more information contact Nasim Mehrshid, Business Lead CoE AA&amp;AI, via email: nasim.mehrshid@nl.abnamro.com. We look forward to meeting you!</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your Future: Inclusive, Innovative, Sustainable</b></h2></div><div><p>
At ABN AMRO, we believe in &quot;<b>Banking for better, for generations to come.</b>&quot; Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of <b>being a personal bank in the digital age</b> aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.</p><p></p><p><i><br>
If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.</i></p></div></div><div><div><h2 class="jobSectionHeader"><b>
Disclaimer external recruitment agencies</b></h2></div><div><p>
External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.</p></div></div></div></div>

Data Scientist - AI Strategy Team

ABN AMRO Bank N.V.

<div>
 <strong>
  At a glance
  <br/>
  <br/>
 </strong>
 Are you ready to use your Data Science skills to make a real impact in the Finance &amp; Risk Data Domain? Do you thrive on Python, GenAI, Spark, Databricks, ML and Azure? If so, then the role of Data Scientist in the Common Data team is an interesting position for you and we&rsquo;d love to meet you!
 <br/>
 <br/>
 <strong>
  Your job
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You don&rsquo;t just build smart AI solutions, you shape the future of how we work.
  </li>
  <li>
   You spot opportunities before others do, experiment iteratively, involve stakeholders from the start, and turn promising ideas into valuable, scalable (Gen)AI products.
  </li>
  <li>
   We run several (Gen)AI applications, from data quality optimization models to automated reporting and signalling clients in distress, all used daily by colleagues across the organization.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working environment
  <br/>
  <br/>
 </strong>
 The Finance &amp; Risk Data Domain is part of Finance &amp; Risk Business Grids (F&amp;RBG), and plays an active role for all the Finance and Risk departments. We employ 200+ international professionals with different backgrounds who are driven to bring risk data management to a structurally higher level. Our aim is to generate reliable risk data on time. We do this by improving the risk data itself, data systems and data processes. We work with an Agile operating model. Our Finance and Risk Data Domain consists of 7 departments where the atmosphere is dynamic, open and informal.
 <br/>
 <br/>
 You are part of the AI Strategy Team in the Centre of Expertise Advanced Analytics &amp; Artificial Intelligence department. You will report to the Business Lead CoE AA &amp; AI.
 <br/>
 <br/>
 <strong>
  Your profile
  <br/>
  <br/>
 </strong>
 You have an interest and experience in AA &amp; AI. You are a passionate, hard-working professional with an eye for details. You are able to execute assignments independently as well as interact directly with stakeholders when it comes to day-to-day matters.
 <br/>
 <br/>
 Do you think you fit in with us? Check your profile:
 <br/>
 <br/>
 You are a curious, pragmatic developer with 3+ years of experience in Data Science or AI Engineering. You:
 <br/>
 <br/>
 <ul>
  <li>
   Translate business challenges into workable AI models effortlessly and explain complex topics with clarity and impact
  </li>
  <li>
   Enjoy working in multidisciplinary teams and are confident collaborating with (senior) stakeholders
  </li>
  <li>
   Have a learning mindset with a willingness to continue to grow and a broad interest in a variety of data science topics
  </li>
  <li>
   Are pragmatic and look for the simplest solution first
  </li>
  <li>
   Take ownership of your work and work in a structured way
  </li>
  <li>
   Have hands‑on experience with Python, Spark, SQL, Databricks, Azure, basic ML-models, pipeline structuring and optimization techniques
  </li>
  <li>
   You are capable of giving and asking for feedback.
  </li>
  <li>
   You have worked in and/or with Scrum/DevOps teams.
  </li>
  <li>
   Excellent oral and written communication skills in English with strong stakeholder management skills.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are offering
  <br/>
  <br/>
 </strong>
 There are plenty of career opportunities to grow personally and professionally, which mainly depend on your own ambitions and interests.
 <br/>
 <br/>
 In addition, we offer:
 <br/>
 <br/>
 <ul>
  <li>
   The Benefit Budget is 11% of your salary. The Benefit Budget allows you to acquire additional employment benefits. If you make no purchases or reservations in the Benefit Shop in a given month, you are paid one twelfth of your Benefit Budget that month.
  </li>
  <li>
   Five weeks of vacation per year. You have the option to purchase an additional four weeks per year.
  </li>
  <li>
   Personal development Budget of &euro; 1,000 per year, which you can accumulate up to &euro; 3,000.
  </li>
  <li>
   Possibility to work from home (in consultation with your team and depending on your position).
  </li>
  <li>
   An annual public transport pass with free public transportation throughout the Netherlands.
  </li>
  <li>
   An excellent pension scheme.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interested?
  <br/>
  <br/>
 </strong>
 Do not hesitate to approach us for more details, or apply directly! For more information contact Nasim Mehrshid, Business Lead CoE AA&amp;AI, via email: nasim.mehrshid@nl.abnamro.com. We look forward to meeting you!
 <br/>
 <br/>
 <strong>
  Your Future: Inclusive, Innovative, Sustainable
  <br/>
  <br/>
 </strong>
 At ABN AMRO, we believe in "
 <strong>
  Banking for better, for generations to come.
 </strong>
 " Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of
 <strong>
  being a personal bank in the digital age
 </strong>
 aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future.
 <br/>
 <br/>
 <em>
  If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume.
  <br/>
  <br/>
 </em>
 <strong>
  Disclaimer external recruitment agencies
  <br/>
  <br/>
 </strong>
 External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please.
</div>


SoTalent

<div>
 <p>
  Data Scientist
 </p>
 <p>
  <strong>
   📍 Amsterdam, Netherlands | Hybrid/Flexible Working
  </strong>
 </p>
 <p>
  An exciting opportunity is available for a
  <strong>
   Data Scientist
  </strong>
  to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 </p>
 <p>
  Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
  </li>
  <li>
   Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
  </li>
  <li>
   Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
  </li>
  <li>
   Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
  </li>
  <li>
   Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
  </li>
  <li>
   Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
  </li>
  <li>
   Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
  </li>
  <li>
   Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
  </li>
  <li>
   Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
  </li>
 </ul>
 <p>
  Skills &amp; Experience
 </p>
 <ul>
  <li>
   Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
  </li>
  <li>
   Strong Python programming skills with experience writing clean, well-tested and maintainable code.
  </li>
  <li>
   Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
  </li>
  <li>
   Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
  </li>
  <li>
   Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
  </li>
  <li>
   Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
  </li>
  <li>
   Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
  </li>
  <li>
   Excellent communication and collaboration skills with experience working across multidisciplinary teams.
  </li>
 </ul>
 <p>
  What's on Offer
 </p>
 <ul>
  <li>
   Flexible working arrangements supporting work-life balance.
  </li>
  <li>
   Hybrid working environment.
  </li>
  <li>
   Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
  </li>
  <li>
   The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
  </li>
  <li>
   A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
  </li>
  <li>
   Competitive salary and comprehensive benefits package.
  </li>
 </ul>
 <p>
  If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 </p>
</div>


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>

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