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

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)

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>


Yellowgrape

<div><div><div><div><h2 class="jobSectionHeader"><b>Van voorspelling naar impact: bouw modellen die marketing slimmer maken.</b></h2></div><div><p><i>
&ndash; To be considered for this role, you must already live in the Netherlands. Unfortunately, we are not able to support relocation or applications from abroad &ndash;</i></p><p><i>
&zwj;</i>Ben jij in staat om grote hoeveelheden data om te zetten in waardevolle inzichten? Heb je ervaring met het ontwikkelen van voorspellende modellen en het automatiseren van analyses? Dan hebben wij d&eacute; perfecte job voor jou bij Yellowgrape!
</p><p>Als Data Scientist speel je een sleutelrol in het ontdekken en voorspellen van trends, gedrag en behoeften. Je werkt aan onderwerpen als Marketing Mix Modelling, attributiemodellering en incrementality testing. Soms betekent dat een model bouwen. Soms betekent het juist dat je een complexe analyse terugbrengt naar &eacute;&eacute;n kraakheldere keuze: doorgaan, bijsturen of stoppen.</p><p>
Met jouw expertise voeg je waarde toe aan diverse use cases. Je werkt nauw samen binnen het Data &amp; Intelligence team met data consultants, -analysten en -engineers om geavanceerde oplossingen te ontwikkelen die zowel de effici&euml;ntie verhogen als de impact van marketingcampagnes maximaliseren. Bij Yellowgrape krijg je de kans om je stempel te drukken op innovatieve projecten en bij te dragen aan het succes van onze klanten.</p></div></div></div>
<div><div><div><h2 class="jobSectionHeader"><b>
Waar jij blij van wordt in je rol</b></h2></div><div><ul><li>
Marketing Mix Modelling om de impact van kanalen en budgetverdeling beter te begrijpen;</li><li>
Attributiemodellering, zodat we verder kijken dan last-click en omzetwaarde eerlijk te verdelen over touchpoints heen;</li><li>
Incrementality testing om te toetsen welke campagnes, kanalen of experimenten aantoonbaar extra waarde opleveren;</li><li>
Predictive analytics voor onder meer klantwaarde, churn, herhaalaankoop en groeikansen;</li><li>
Heldere analyses en visualisaties die marketeers, strategen en klanten direct kunnen gebruiken.</li></ul></div></div></div>
<div></div><div><div><div><h2 class="jobSectionHeader"><b>Zo pas jij goed in deze rol</b></h2></div><div><ul><li>
Minimaal 2-3 jaar ervaring als Data Scientist, Data Analyst met modelleringsfocus of relevante werkervaring met statistiek of econometrische modellen;</li><li>
Je comfortabel werkt met Python, SQL en data-analyse;</li><li>
Marketingdata interessant vindt en snapt dat context net zo belangrijk is als techniek;</li><li>
Kritisch kijkt naar aannames, datakwaliteit en meetbaarheid;</li><li>
Helder communiceert met zowel technische als niet-technische collega&rsquo;s;</li><li>
Energie krijgt van samenwerken in multidisciplinaire klantteams.</li><li>
Je hebt ervaring met cloud platforms (bij voorkeur Google Cloud-stack);</li><li>
Bekend met Bayesian modelling of andere statistische methoden</li><li>
Vloeiend in Nederlands en Engels (zowel mondeling als schriftelijk);</li><li>
Je wilt graag werken in een organisatie die door cultuur wordt gedreven;</li><li>
Je kijkt ernaar uit om te werken in een betrokken team;</li><li>
Je bent in staat om problemen te identificeren, bespreekbaar te maken en op zoek te gaan naar oplossingen;</li><li>
Je bent minimaal 32 uur per week beschikbaar.</li></ul></div></div></div>
<div><div><div><h2 class="jobSectionHeader"><b>Wat jij van ons mag verwachten</b></h2><h2 class="jobSectionHeader"><b>
Je zoekt geen baan, je zoekt een plek waar je werk ertoe doet &eacute;n je jezelf kunt zijn. Hier is wat je bij ons mag verwachten.</b></h2></div><div><ul><li>
Je werkt vanuit ons gezellige kantoor in Amsterdam of Berlijn, beide in het bruisende hart van de stad;</li><li>
Via ons exchange programma kun je tijdelijk switchen tussen Berlijn en Amsterdam, een unieke kans om cultuur en werkervaring te combineren.</li></ul><h5 class="jobSectionHeader"><b>
Groeien als professional &eacute;n als mens</b></h5><ul><li>
Jij krijgt de ruimte: veel verantwoordelijkheid, vertrouwen en de vrijheid om zelf initiatief te nemen;</li><li>
We coachen je op zowel persoonlijke groei als competentieontwikkeling, zodat je steeds dichter bij je volle potentieel komt;</li><li>
Je werkt met het TMA Talentmanagement programma, waarbij we jouw aangeboren drijfveren en talenten inzetten om jou elke dag in je kracht te zetten;</li><li>
Er zijn volop opleidingsmogelijkheden om te blijven groeien in jouw vakgebied.</li></ul><h5 class="jobSectionHeader"><b>
Een eerlijk salaris &amp; transparante voorwaarden</b></h5><ul><li>
Je ontvangt een eerlijk en transparant salaris op basis van het Baarda beloningsmodel, afgestemd op je toegevoegde waarde;</li><li>
Amsterdam: 25 vakantiedagen + 8% vakantietoeslag;</li><li>
Berlijn: 28 vakantiedagen;</li><li>
Een Apple MacBook in bruikleen voor je dagelijkse werk;</li><li>
Reiskostenvergoeding en een pensioenregeling, afhankelijk van je standplaats (Amsterdam of Berlijn).</li></ul><h5 class="jobSectionHeader"><b>
Fit, gefocust en vol energie</b></h5><ul><li>
Elke dag een verse, gezonde lunch op kantoor;</li><li>
Goede koffie? Die komt van een lokale branderij uit Amsterdam: ambachtelijk gebrand en altijd vers</li><li>
Blijf fit met ons sportschool abonnement of doe mee via het fietsplan.</li></ul><h5 class="jobSectionHeader"><b>
Samen werken, samen vieren</b></h5><ul><li>
We zijn een gecertificeerd 'Excellent Workplace' door 2DAYSMOOD en daar zijn we trots op;</li><li>
Vrijdagmiddagborrels, feestjes op de Yellowgrape-sloep en inspirerende teamuitjes zorgen voor verbinding en plezier;</li><li>
We werken volgens onze eigen holacratische werkwijze: de Yellowcratie. Dat betekent veel autonomie, duidelijke rollen en samenwerken op basis van vertrouwen in plaats van hi&euml;rarchie.</li></ul></div></div></div></div>

Booking.com

<div>Role Description:
<p><b>
This role does not come with relocation assistance</b></p><p></p><p><b><br>
About Us: </b>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 encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.</p><p></p><p><b><br>
Role and Team Overview</b></p><p>
As a Senior Data Scientist in Ranking and Ads, you will work autonomously on impactful strategic business problems, translating them into data stories and delivering insights that inform business decisions across multiple products. The Senior Data Scientist for this team will specialise specifically in Ads. You will design and interpret experiments to guide long-term strategic decisions, build proofs of concept and prototypes, and actively manage stakeholders from operational to Director level. You'll collaborate cross-functionally with Product, Engineering, and Data Engineering teams, writing high-quality, reproducible code to ensure your work lands impactfully and enables solid decision-making across leadership.</p><p></p><p><br>
Ranking and Ads Insights is a new and expanding, highly commercial team providing Data Science and Analytics support within Marketplace. Our mission is to power Ads across Booking.com and support Ranking ML teams to show the right properties to the right people.</p><p></p><p><br>
Our work enables partners to reach travelers at the perfect moment while preserving customer experience and driving commercial impact. This is a unique opportunity to apply your business awareness to high-stakes initiatives, ensuring your work not only solves complex data problems but actively shapes the strategy for the Ads part of our scope in particular.</p><p></p><p><br>
You&rsquo;ll work in a cross-functional team alongside Machine Learning, Data Engineering, and Data Management to support our product vision. Strong commercial acumen and stakeholder management will ensure that your work is impactful and drives business results.</p><p></p><p><br>
To get a flavor of the Data Science &amp; ML work at Booking, check out our blog here.</p><p></p><p><b><br>
Key Job Responsibilities and Duties</b></p><ul><li><p>
Responsible for defining the strategy and vision for generating impact in one or more Data Science solutions by driving it from ideation to prototyping to full productionisation.</p></li><li><p>
Responsible for proactively identifying and autonomously prioritizing impactful strategic business problems, translating them into data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from product stakeholders in all of the above to determine the right technical solutions to deliver customer value. May seek guidance from the manager on complex business problems.</p></li><li><p>
Responsible for driving key projects within the scope of their team to deliver work that informs business decisions across multiple products / business topics in parallel and/or core products / business topics of the area they work in, while self-prioritizing at high velocity. Regularly collaborating across multiple teams.</p></li><li><p>
Responsible for designing and interpreting quantitative experiments to objectively drive long-term strategic business decision making.</p></li><li><p>
Responsible for autonomously identifying and managing a broad range of stakeholders, from operational to senior managerial roles and, as required, Director level stakeholders. Maintains effective communication, addresses stakeholder needs, and conveys complex analysis results clearly. Continues to guide less experienced colleagues in all of the above, but may seek guidance from the manager in complex situations with senior stakeholders.</p></li><li><p>
Responsible for exploring and modifying existing internal and external Data Science approaches. Makes these solutions reusable by designing for easy adoption and proactively educating and upskilling peers on how to effectively utilize these solutions in their work.</p></li><li><p>
Responsible for incorporating scalability, reproducibility and long term orientation in the work they do. Regularly sharing best practices with peers in their area.</p></li><li><p>
Responsible for acting as a force multiplier for peers in their area by actively helping them with their craft through means of coaching, mentoring and setting a good example.</p></li><li><p>
Responsible for contributing significantly to the community of their area by thinking of and implementing ways to make other data professionals more effective (ie. group trainings, community projects), actively participating in community strengthening activities (ie. recruitment) and connecting their area to the rest of the business.</p></li><li><p>
Must have a deep understanding of the larger data ecosystem at Booking and how it relates to the work they do.</p></li><li><p>
Responsible for proactively collaborating with peers in related crafts (ie. Data Engineering) on all projects owned by their team, anticipating data needs to maintain smooth execution of projects.</p></li><li><p>
Responsible for having significant deep knowledge about the operational, tactical and strategic goals of their area (ie. track / vertical) and be knowledgeable of the goals of their wider area (ie. Business Unit).</p></li><li><p>
Responsible for ensuring quality of their own work by validating it through peer review.</p></li><li><p>
Responsible for influencing business decisions within their wider area (ie. track / vertical).</p></li><li><p>
Must be a subject-matter expert in one area of Data Science (ie. methodology, technology) and its application as an end-to-end product that generates business impact, acting as a go-to Data Science authority for senior business stakeholders of their area.</p></li></ul><p></p><p><b><br>
Role Qualifications and Requirements</b></p><ul><li><p>
Knowledgeable about statistical properties of (good) metrics, and ability to scalably test them</p></li><li><p>
Expertise in experimentation and knowledge of causal inference beyond A/B testing</p></li><li><p>
Expertise in SQL, Python and familiarity with other languages like R</p></li><li><p>
Experience building libraries/modules in python</p></li><li><p>
Familiarity with apis using is good, building/maintaining is great</p></li><li><p>
Strong understanding of fundamental machine learning concepts</p></li><li><p>
Strong knowledge of reporting/visualization techniques (e.g., Tableau, Graphite, Power BI, etc.)</p></li></ul><p></p><p><b><br>
Benefits &amp; Perks</b><b>: Global Impact, Personal Relevance</b></p><ul><li><p>
Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave</p></li><li><p>
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)</p></li><li><p>
A beautiful sustainable HQ Campus in Amsterdam, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office</p></li><li><p>
Commuting allowance and bike reimbursement scheme</p></li><li><p>
Discounts &amp; Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends &amp; family Booking.com discount vouchers</p></li><li><p>
Free access to online learning platforms, development and mentorship programs</p></li><li><p>
Global Employee Assistance Program, free Headspace membership</p></li></ul><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><b>
 </b>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><b>
 </b>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>
The interview process will entail a call with one of our Recruiters and a total of 3 interviews, all conducted via Zoom video conferencing.</p></li><li><p><b>
This role does not come with relocation assistance.</b></p></li></ul><p><i><br>
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.</i></p></div>

Senior Data Scientist - Ranking and Ads Insights

Simon-Kucher & Partners

<div></div><div><h1 class="jobSectionHeader"><b>Intern/Associate Consultant Data Science</b></h1>
<p></p><div><b>In The Netherlands</b> - Amsterdam</div>
<br>
This opportunity offers a unique entry into Consulting as a Data Science Intern, particularly focusing on the use of Large Language Models (LLMs) and Natural Language Processing (NLP) in our UK and Netherlands projects.
<div><div><b>What makes us special:</b><br>
<ul><li><b>Become part of a unique entrepreneurial team.</b> Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people.</li>
<li><b>Unlock the power of opportunity.</b> Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way.</li>
<li><b>Enjoy balance and flexible working.</b> Be empowered to do your best work &ndash; whether it&rsquo;s remotely or in the office.</li>
<li><b>Work in a values-driven culture.</b> At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.</li>
</ul></div><div><b>How you will create an impact:</b><br>
<ul><li>You will be an integral part of project teams driving top-line growth for clients, mainly across UK and Netherlands projects.</li>
<li>Responsible for the core stages of model development, including:Data wrangling and pre-processingMachine learning model development, testing, and implementation.</li>
<li>You will analyze and communicate data insights to project teams to support strategic decision-making.</li>
<li>The internship offers an opportunity to learn about commercial strategy consulting in a practical, project-based environment.</li>
<li>Top-performing interns may be offered an entry-level Data Scientist position after completion of the internship.</li>
</ul></div><div><b>Your profile:</b><br>
<ul><li>You have completed both your VWO and bachelor's degree with above-average study results in a quantitative field, such as computer science, engineering, statistics, operational research, data science, or equivalent experience.</li>
<li>Deep knowledge of Machine Learning, statistical modelling, and NLP techniques.</li>
<li>Strong programming skills in R and/or Python, with experience in NLP libraries and frameworks.</li>
<li>Exceptional communication skills to effectively convey complex data insights.</li>
<li>High percentile numerical, deductive, and inductive reasoning skills.</li>
<li>A strong desire to work in a fast-paced, commercially agile environment.</li>
<li>A keen interest in commercial strategy and a desire to work in a dynamic, fast-paced environment.</li>
<li>Strong enthusiasm, curiosity, and a commitment to achieving the best outcomes.</li>
</ul></div></div><p>Internships within the Data Science team usually last around 4 to 6 months and are designed to expose individuals to working on client projects. Interns can expect responsibility from the outset as a valued member of the project team. Throughout your time at Simon-Kucher, you will contribute to analysis and results and can benefit from working alongside experienced Consultants, Directors, and Partners. To be eligible for the internship, you must be enrolled at a university and able to work from our Amsterdam office during the internship period.<br>
<br>
<b>About Simon-Kucher</b><br>
Simon-Kucher is a global consultancy with more than 2,200 employees in 30+ countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. As a trusted commercial advisor, we combine deep consulting expertise, growth specialization, and technology to scale impact. We optimize every lever of commercial strategy &ndash; product, pricing, innovation, marketing, sales, and digital &ndash; based on deep insights into what customers value and are willing to pay for. With over 40 years of experience in monetization, we are regarded as the world&rsquo;s leading commercial growth and pricing specialist. <b>simon-kucher.com</b>
</p>
<p>We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone &ndash; our people, our clients and, of course, our business.
</p>
<p><b>Your personal contact:</b><br>
Anne-Fleur Lefel<br>
Recruitment.amsterdam@simon-kucher.com</p></div>

Intern/Associate Consultant Data Science

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier.</p><b><br>
Job Description</b><p><br>
The Amsterdam Data Science team is diverse, dynamic, and rapidly growing. You will collaborate closely within multidisciplinary teams, applying advanced analytics and machine learning techniques to solve complex business problems and deliver impactful solutions. Our flat structure encourages initiative, entrepreneurial spirit, diversity, well-being, and knowledge sharing so that we grow together.</p><p><b>
Responsibilities</b></p><p>
As a Data Science Consultant, you will collaborate with our Data Scientists, Data Engineers, and Consultants on various client projects in multidisciplinary teams. You will use advanced analytics, machine learning, and GenAI techniques to solve complex business problems and deliver impactful solutions.</p><p><b>
Responsibilities include:</b></p><ul><li><p>
Collaborate with colleagues to identify business challenges and extract actionable insights from data.</p></li><li><p>
Develop and implement statistical models, optimization solutions, and advanced machine learning techniques.</p></li><li><p>
Apply Generative AI and large language models to create innovative solutions.</p></li><li><p>
Clearly present analytical results and assist in facilitating client workshops.</p></li></ul><p><b>
Your profile</b></p><ul><li><p>
Motivated, analytical, and eager to learn.</p></li><li><p>
Thrive in collaborative, multidisciplinary environments.</p></li><li><p>
Clear communicator, comfortable translating complex technical concepts into actionable recommendations.</p></li></ul><b><br>
Qualifications</b><ul><li><p><br>
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.</p></li><li><p>
1 to 3 years of relevant professional experience.</p></li></ul><ul><li><p>
Strong coding skills in Python and at least one additional analytical language (e.g., R, SQL).</p></li><li><p>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</p></li><li><p>
Solid knowledge of Machine Learning techniques, optimization methods, and Generative AI.</p></li><li><p>
Previous exposure or interest in cloud platforms (AWS, Azure, GCP) is a plus.</p></li><li><p>
Fluent in English and Dutch, both written and oral. Additional languages are considered advantageous.</p></li></ul><p><b>
What we offer</b></p><ul><li><p>
Training and development opportunities to advance your expertise.</p></li><li><p>
A supportive environment with structured mentorship and personalized training opportunities.</p></li><li><p>
Opportunities to participate in international projects.</p></li><li><p>
Flexible working hours and performance-based promotion.</p></li><li><p>
Competitive salary, bonus, and benefits package (health insurance, pension).</p></li></ul><b><br>
Additional Information</b><p><br>
We are unable to provide a work permit for this position.</p><p>
Non-Dutch speakers will unfortunately not be accepted.</p><p>
Sia is an equal opportunity employer. Employment decisions&mdash;including hiring, promotion, remuneration, or disciplinary actions&mdash;are based solely on performance, competence, conduct, and business needs.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

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