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data scientist ai strategy team

ABN AMRO

<div>Data Scientist - AI Strategy Team<div><div><div><h2 class="jobSectionHeader">
At a glance</h2></div><div>
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!</div></div><div><div><h2 class="jobSectionHeader">
Your job</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">
Working environment</h2></div><div>
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. 
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.</div></div><div><div><h2 class="jobSectionHeader">
Your profile</h2></div><div>
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. 
Do you think you fit in with us? Check your profile: 
You are a curious, pragmatic developer with 3+ years of experience in Data Science or AI Engineering. You:<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">
We are offering</h2></div><div>
There are plenty of career opportunities to grow personally and professionally, which mainly depend on your own ambitions and interests. 
In addition, we offer:<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">
Interested?</h2></div><div>
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!</div></div><div><div><h2 class="jobSectionHeader">
Your Future: Inclusive, Innovative, Sustainable</h2></div><div>
At ABN AMRO, we believe in &quot;Banking for better, for generations to come.&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 being a personal bank in the digital age 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. 
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.</div></div><div><div><h2 class="jobSectionHeader">
Disclaimer external recruitment agencies</h2></div><div>
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></div></div></div>

Data Scientist - AI Strategy Team

ABN AMRO Bank N.V.

<div>
 
 At a glance
 
 
 
 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!
 
 
 
 Your job
 
 
 
 <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>
 
 Working environment
 
 
 
 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.
 
 
 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.
 
 
 
 Your profile
 
 
 
 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.
 
 
 Do you think you fit in with us? Check your profile:
 
 
 You are a curious, pragmatic developer with 3+ years of experience in Data Science or AI Engineering. You:
 
 
 <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>
 
 We are offering
 
 
 
 There are plenty of career opportunities to grow personally and professionally, which mainly depend on your own ambitions and interests.
 
 
 In addition, we offer:
 
 
 <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>
 
 Interested?
 
 
 
 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!
 
 
 
 Your Future: Inclusive, Innovative, Sustainable
 
 
 
 At ABN AMRO, we believe in "
 
 Banking for better, for generations to come.
 
 " 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
 
 being a personal bank in the digital age
 
 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.
 
 
 
 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.
 
 
 
 
 Disclaimer external recruitment agencies
 
 
 
 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>

Solid Professionals

<div>
 
 
 Introduction
 
 
 
 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.
 
 
 
 
 
 
 Your role
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 What we are looking for
 
 
 <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>
 
 
 
 
 
 Benefits
 
 
 
 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.
 
 
 
 
 
 
 What you can expect
 
 
 <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>
 
 
 
 
 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.
 
</div>

Data Scientist GenAI

Promptwatch

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

Data Scientist

Levy Professionals

<div>ABOUT YOU

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.

WHAT ARE YOU GOING TO DO
<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>

AN IDEAL PROFILE WOULD BE
<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>

Contract Duration: Until December 2026, possibility for an extension

Work Model: Hybrid (2 days in office)

Sponsorship: Yes

Open to ZZP as well.

Tick all the boxes? Then smash that button and let&rsquo;s have a chat.

ABOUT US: 
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.</div>

Data Scientist (Agentic AI)

SoTalent

<div>
 
 Data Scientist
 
 
 
 📍 Amsterdam, Netherlands | Hybrid/Flexible Working
 
 
 
 An exciting opportunity is available for a
 
 Data Scientist
 
 to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 
 
 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.
 
 
 Key Responsibilities
 
 <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>
 
 Skills &amp; Experience
 
 <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>
 
 What's on Offer
 
 <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>
 
 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.
 
</div>

Amsterdam Data Collective

<div>Who we are
ADC is a Boutique Data and AI consultancy with offices in the Netherlands, Sweden, and Denmark, and an award-winning data design studio (CLEVER&deg;FRANKE) embedded in the group. We help organisations turn data and AI into real impact, leading a mission to accelerate the responsible use of Data and AI. We bring the full data value chain under one roof: from strategy and engineering to analytics, data science, and design. This way, we turn complex data into clear roadmaps, scalable foundations, AI-powered tools, and experiences people actually enjoy using.
We are a collective of statisticians, designers, PhDs, and agentic AI engineers with deep expertise in the industries we serve: financial services, life sciences, healthcare, the public sector, retail, agriculture, and transportation. We do not arrive with generic tools and a slide deck. We walk in, work alongside the people who know the organisation best, and build solutions that actually run.
We call ourselves Wayfinders. Our clients trust us to navigate complexity and make it real: turning ambition into action in environments where the margin for error is small and the consequences of getting it wrong are real, for customers, employees, supply chains, and the bottom line. 
Shape the future of Data-Driven Decision Making with ADC
We're leveraging our expertise in causal inference, machine learning, and business intelligence to power ADC's growth and deliver unmatched value to our clients.
Our Retail team is growing, and we are looking for a Decision Scientist with experience with ML and forecasting, who is curious and eager to grow with us. In this role, you will deep dive into predictive modelling, causal inference, and optimization, while applying advanced statistical methods to real-world business challenges. You will contribute to our advanced pricing initiatives for leading e‑commerce clients, developing forecasting models that impact commercial strategy.
You&rsquo;ll be part of cross-functional team, working alongside highly specialized decision science teams to better understand complex methodologies, while connecting predictive insights with operations research, and deploying state-of-the-art causal machine learning techniques. 
Where you&rsquo;ll make an impact
Turn Advanced Machine Learning into Real‑World Pricing Impact<ul><li>
Drive advanced forecasting for e‑commerce pricing, focusing on longitudinal and panel data.</li><li>
Develop and scale Machine Learning models to optimize pricing strategies over time.</li><li>
Leverage techniques such as tree‑based models, gradient boosting, bagging, and ensemble methods (e.g. LightGBM, XGBoost) to improve pricing performance.</li></ul>
Use Causal Inference to Measure True Business Impact<ul><li>
Drive causal machine learning and inference initiatives to move beyond correlation and quantify true commercial impact.</li><li>
Apply causal inference methods to observational and quasi‑experimental data to support strategic decision‑making.</li><li>
Implement advanced frameworks such as DoubleML, potential outcomes modeling, two‑way and interactive fixed‑effects models, and unobserved factor models.</li></ul>
Collaborate with Expert Teams and Drive Continuous Improvement<ul><li>
Collaborate closely with our clients' decision science teams, highly specialized professionals with deep quantitative backgrounds, tackling complex methodologies and operations research challenges together.</li><li>
Break down data science and econometric concepts into clear, practical recommendations that resonate with both technical and non‑technical audiences.</li><li>
Challenge existing approaches, identify opportunities for stronger models or smarter optimization, and foster a mindset of curiosity, transparency, and continuous improvement across the team.</li></ul> 
What you bring
At ADC, we're not just consultants: we're leading experts in Data &amp; AI, using our expertise in strategy, business operations, and advanced analytics. What unites us is a shared way of working: breaking down complex challenges to change how organisations operate.
For this role, that means:<ul><li>
Strong academic foundation in Machine Learning, Computer Science, Statistics, Econometrics, Economics, Mathematics, or a highly related quantitative field, ideally in consulting or project-based work.</li><li>
Deep technical expertise: Hands-on experience in Machine Learning methods for forecasting longitudinal data (LightGBM, XGBoost, ensemble methods) and causal machine learning / causal inference methods (DoubleML, fixed effects models, potential outcomes).</li><li>
Domain knowledge: Experience applying forecasting, optimization (operations research), and causal inference specifically for pricing in retail and e-commerce settings is particularly desirable.</li><li>
The ability to communicate with anyone in the room breaking down complex ideas for technical and non-technical audiences: From client PhD researchers to commercial leadership.</li><li>
A proactive and entrepreneurial mindset: You&rsquo;re eager to solve challenging problems, innovate, and drive change.</li><li>
A collaborative spirit: You believe the best solutions come from diverse perspectives and supporting each other to raise the bar.</li><li>
Fluency in English; Dutch is a plus.</li></ul> 
What&rsquo;s in it for you
At ADC, you&rsquo;re part of the collective from day one. We want you to grow, experiment, and shape your own path while working on projects that matter. That means:<ul><li>
Impact you can point to: You&rsquo;ll see your work in action and our projects change how organisations make decisions.</li><li>
Real responsibility, real support: You&rsquo;ll work alongside experienced experts from the start, learning by doing with mentorship and feedback built in.</li><li>
The freedom to try new things: Spot a better way to build something? A smarter process? We want people who challenge the status quo.</li><li>
Collective Week: Once a year, we go on a workation with the whole ADC team. We work on pro bono projects, explore new ideas, and make the kind of memories you&rsquo;ll want to talk about.</li><li>
Ownership opportunities: We offer a competitive salary and bonus structure, plus the opportunity to invest in the company and become a co-owner once specific conditions are met. We mean it when we say collective.</li><li>
A vibrant culture: Daily lunches, Friday drinks, sports, social events: a culture you&rsquo;ll notice from day one.</li></ul>
What to do next
If you believe in building with heart, thrive on collaboration, and want to grow with a team that challenges and supports you, we want to meet you! If this sounds like your next challenge, apply through the link below.<ul><li>Amsterdam Data Collective is an equal opportunity employer. To shape a better future, we value diversity and promote equality. No characteristics are discriminated against, as indicated in Directive 2000/78/EC. We encourage and welcome all applications. Additional arrangements or adjustments to support your application can be discussed further.</li></ul></div>

Machine Learning Scientist | Pricing & Forecasting

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179 data scientist ai strategy team jobs In Amsterdam

Data Scientist - AI Strategy Team

Data Scientist - AI Strategy Team

Data Scientist GenAI

Data Scientist

Data Scientist (Agentic AI)

Data Scientist

Machine Learning Scientist | Pricing & Forecasting