data science specialist

Prospect 33

<div>
 <p>
  Data Scientist
 </p>
 <p>
  <strong>
   Location:
  </strong>
  United Kingdom (Hybrid)
 </p>
 <p>
  <strong>
   Employment Type:
  </strong>
  Full-Time
 </p>
 <p>
  <strong>
   About Prospect 33
  </strong>
 </p>
 <p>
  Prospect 33 is an established specialist firm, founded in 2005, that partners with global financial institutions and develops AI, data, and technology solutions for some of the world's leading banks and financial services organisations.
 </p>
 <p>
  <strong>
   The Opportunity
  </strong>
 </p>
 <p>
  We are seeking a Data Scientist to join our team in the United Kingdom. In this role, you will apply statistical analysis, machine learning, and data modelling techniques to solve complex business problems and generate actionable insights.
 </p>
 <p>
  Working closely with stakeholders, engineers, and business teams, you will help design and develop analytical solutions that support decision-making, improve operational efficiency, and drive business value.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Analyse large and complex datasets to identify trends, patterns, and opportunities
  </li>
  <li>
   Develop, test, and maintain statistical and machine learning models
  </li>
  <li>
   Perform data preparation, feature engineering, and exploratory data analysis
  </li>
  <li>
   Design and evaluate experiments to measure model performance and business impact
  </li>
  <li>
   Build data visualisations and communicate findings to technical and non-technical stakeholders
  </li>
  <li>
   Collaborate with cross-functional teams to understand business challenges and translate them into analytical solutions
  </li>
  <li>
   Support the deployment, monitoring, and enhancement of predictive models
  </li>
  <li>
   Document methodologies, assumptions, and results to ensure transparency and reproducibility
  </li>
  <li>
   Stay current with developments in data science, machine learning, and analytics
  </li>
 </ul>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative discipline
  </li>
  <li>
   2&ndash;5 years of experience in data science, analytics, machine learning, or a related field
  </li>
  <li>
   Strong proficiency in Python and SQL
  </li>
  <li>
   Experience applying statistical analysis and machine learning techniques to real-world problems
  </li>
  <li>
   Experience working with large and complex datasets
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Excellent communication and stakeholder management abilities
  </li>
 </ul>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related quantitative field
  </li>
  <li>
   Experience within financial services, banking, asset management, fintech, consulting, or other data-driven industries
  </li>
  <li>
   Experience with cloud platforms such as AWS, Azure, or GCP
  </li>
  <li>
   Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
  </li>
  <li>
   Experience with data visualisation tools such as Power BI or Tableau
  </li>
  <li>
   Knowledge of model deployment and MLOps concepts
  </li>
 </ul>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Python
  </li>
  <li>
   SQL
  </li>
  <li>
   Pandas
  </li>
  <li>
   NumPy
  </li>
  <li>
   Scikit-learn
  </li>
  <li>
   Jupyter Notebooks
  </li>
  <li>
   Git
  </li>
  <li>
   Power BI or Tableau
  </li>
 </ul>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong statistical and analytical thinking
  </li>
  <li>
   Ability to communicate complex concepts clearly and effectively
  </li>
  <li>
   Intellectual curiosity and a passion for solving challenging problems
  </li>
  <li>
   Strong attention to detail and commitment to quality
  </li>
  <li>
   Ability to manage multiple priorities in a fast-paced environment
  </li>
  <li>
   Collaborative mindset and excellent interpersonal skills
  </li>
  <li>
   Experience working with business stakeholders and cross-functional teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Data Scientist

Kramp

<div>
 Wij geloven dat data science de toekomst heeft. Een vakgebied dat technologie en domeinkennis combineert; wat leidt tot mooie resultaten en soms nog indrukwekkendere mislukkingen. Wil je blijven groeien in dit domein en ben je net zo gepassioneerd over data science als wij (e.g. overenthousiast uitleggen hoe Bayesian Probability werkt op een festival?); dan zoeken we jou als
 <strong>
  Data Scientist
 </strong>
 bij
 <strong>
  Kramp
 </strong>
 in
 <strong>
  Varsseveld
 </strong>
 !
 <br/>
 <br/>
 <strong>
  Wat ga je doen?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Dataproducten bouwen met behulp van Cloud Build en Docker.
  </li>
  <li>
   Pipelines ontwikkelen die gebruikmaken van duizenden CPU's met Kubeflow.
  </li>
  <li>
   Specialiseren in een van de volgende domeinen: Recommenders, Search of Operations/Supply Chain.
  </li>
  <li>
   Business Problems vertalen naar Data Science oplossingen.
  </li>
  <li>
   Minimaal 2 dagen per week fysiek werken vanuit ons hoofdkantoor in Varsseveld, met de overige dagen (optioneel) remote.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Waarom bij ons werken?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Innovatieve omgeving: We gebruiken de nieuwste technologie&euml;n &amp;&amp; AI-tools, en valideren alles door middel van AB testen / experimentation.
  </li>
  <li>
   Empowerment: Wij geloven in zelfregie over je groei &amp;&amp; toekomst, uiteraard met de juiste begeleiding.
  </li>
  <li>
   Werk-priv&eacute;balans: We geven prioriteit aan een goede werk-priv&eacute;balans en bieden flexibele werkregelingen.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Wie ben jij?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Een afgeronde masteropleiding, bij voorkeur in Data Science of een gerelateerd vakgebied.
  </li>
  <li>
   Goede beheersing van de Nederlandse &amp;&amp; Engelse taal.
  </li>
  <li>
   Sterke vaardigheden in SQL en Python.
  </li>
  <li>
   Ervaring met werken in CI/CD-omgevingen &amp; Git is een pre.
  </li>
  <li>
   Ervaring met Google Cloud, LightGBM en Kubeflow is een pre.
  </li>
  <li>
   Uitstekende communicatieve vaardigheden.
  </li>
  <li>
   Medior ervaring heeft de voorkeur; we moedigen echter ook uitstekende junior kandidaten aan om te solliciteren.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Wat bieden wij jou?
  <br/>
  <br/>
 </strong>
 Je Krijgt Een Plek Waar Jouw Invloed Echt Zichtbaar Is, Bij Een Financieel Gezond, Ambitieus En Succesvol Familiebedrijf. Een Prachtige Rol Met Veel Ruimte Om Data Scientist Verder Te Ontwikkelen. Daar Horen De Volgende Arbeidsvoorwaarden Bij
 <br/>
 <br/>
 <ul>
  <li>
   een goed salaris met winstdeling
  </li>
  <li>
   een prima pensioenregeling
  </li>
  <li>
   25 vakantiedagen + 12 ATV-dagen (die je ook kunt laten uitbetalen)
  </li>
  <li>
   reiskostenvergoeding
  </li>
  <li>
   volop ruimte voor opleiding en professionele ontwikkeling
  </li>
  <li>
   korting op het hele Kramp-assortiment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Wil je bij ons komen werken?
  <br/>
  <br/>
 </strong>
 Word jij enthousiast van bovenstaande beschrijving en herken je jezelf hierin, dan willen we graag kennis met je maken! Gebruik de sollicitatiebutton en upload je cv.
 <br/>
 <br/>
 <strong>
  Een motivatiebrief is niet nodig
 </strong>
 ; in plaats daarvan ontvangen we graag een bondig antwoord op de volgende vraag: op welk afgerond Data Science project ben je het meest trots, en waarom?
 <br/>
 <br/>
 Voldoe je niet volledig aan alle vereisten voor deze functie maar denk je dat je een goede match voor ons bent, solliciteer dan en overtuig ons. Heb je een vraag? Aarzel dan niet om contact op te nemen met opal.srithaporn@kramp.com, Talent Acquisition Specialist.
 <br/>
 <br/>
 <strong>
  Over ons
  <br/>
  <br/>
 </strong>
 Dankzij onze ambities zijn we actief in heel Europa: een leidende positie in de agrarische markt voor onderdelen. We investeren fors in E-Business en innovaties. Ons doel is om het onze klanten gemakkelijk te maken. Werken bij Kramp betekent samenwerken met meer dan 3500 internationale collega's. De mensen bij Kramp zijn enthousiast, professioneel en betrokken. We spreken de taal van onze klanten, begrijpen hun uitdagingen en verdienen hun vertrouwen om hun verwachtingen te overtreffen. Onze belofte "It's that easy" zit verankerd in onze cultuur en DNA.
 <br/>
 <br/>
 <strong>
  Werken Bij Kramp Betekent
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   je hoort hier! Deel uitmaken van onze open business community
  </li>
  <li>
   jouw werk maakt het verschil! Impact hebben op wat er toe doet
  </li>
  <li>
   je ontwikkelen en realiseren! Leer en realiseer je potentieel
   <br/>
   <br/>
  </li>
 </ul>
 Meer over Kramp: https://www.careeratkramp.com/nl-nl
 <br/>
 <br/>
 Varsseveld (NL)
 <br/>
 <br/>
 Location:
</div>


Data Scientist - Dutch Speaking

<div><div>Ver&ouml;ffentlicht23.6.2026</div><div>
ReferenzREQ0015097</div><div>
AbteilungCommerce</div><div>
StandortVarsseveld (NL)</div><div>
VertragsartRegular</div></div>
<br><div><p>Wij geloven dat data science de toekomst heeft. Een vakgebied dat technologie en domeinkennis combineert; wat leidt tot mooie resultaten en soms nog indrukwekkendere mislukkingen. Wil je blijven groeien in dit domein en ben je net zo gepassioneerd over data science als wij (e.g. overenthousiast uitleggen hoe Bayesian Probability werkt op een festival?); dan zoeken we jou als <b>Data Scientist</b> bij <b>Kramp </b>in <b>Varsseveld</b>!</p><p></p><p><b>
Wat ga je doen?</b></p><ul><li><p>
Dataproducten bouwen met behulp van Cloud Build en Docker.</p></li><li><p>
Pipelines ontwikkelen die gebruikmaken van duizenden CPU's met Kubeflow.</p></li><li><p>
Specialiseren in een van de volgende domeinen: Recommenders, Search of Operations/Supply Chain.</p></li><li><p>
Business Problems vertalen naar Data Science oplossingen.</p></li><li><p>
Minimaal 2 dagen per week fysiek werken vanuit ons hoofdkantoor in Varsseveld, met de overige dagen (optioneel) remote.</p></li></ul><p></p><p><b>
Waarom bij ons werken?</b></p><ul><li><p>
Innovatieve omgeving: We gebruiken de nieuwste technologie&euml;n &amp;&amp; AI-tools, en valideren alles door middel van AB testen / experimentation.</p></li><li><p>
Empowerment: Wij geloven in zelfregie over je groei &amp;&amp; toekomst, uiteraard met de juiste begeleiding.</p></li><li><p>
Werk-priv&eacute;balans: We geven prioriteit aan een goede werk-priv&eacute;balans en bieden flexibele werkregelingen.</p></li></ul><p></p><p><b>
Wie ben jij?</b></p><ul><li><p>
Een afgeronde masteropleiding, bij voorkeur in Data Science of een gerelateerd vakgebied.</p></li><li><p>
Goede beheersing van de Nederlandse &amp;&amp; Engelse taal.</p></li><li><p>
Sterke vaardigheden in SQL en Python.</p></li><li><p>
Ervaring met werken in CI/CD-omgevingen &amp; Git is een pre.</p></li><li><p>
Ervaring met Google Cloud, LightGBM en Kubeflow is een pre.</p></li><li><p>
Uitstekende communicatieve vaardigheden.</p></li><li><p>
Medior ervaring heeft de voorkeur; we moedigen echter ook uitstekende junior kandidaten aan om te solliciteren.</p></li></ul><p></p><p><b>
Wat bieden wij jou?</b></p><p>
Je krijgt een plek waar jouw invloed echt zichtbaar is, bij een financieel gezond, ambitieus en succesvol familiebedrijf. Een prachtige rol met veel ruimte om <b>Data Scientist</b> verder te ontwikkelen. Daar horen de volgende arbeidsvoorwaarden bij:</p><ul><li><p>
een goed salaris met winstdeling</p></li><li><p>
een prima pensioenregeling</p></li><li><p>
25 vakantiedagen + 12 ATV-dagen (die je ook kunt laten uitbetalen)</p></li><li><p>
reiskostenvergoeding</p></li><li><p>
volop ruimte voor opleiding en professionele ontwikkeling</p></li><li><p>
korting op het hele Kramp-assortiment.</p></li></ul><p></p><p><b>
Wil je bij ons komen werken?</b></p><p>
Word jij enthousiast van bovenstaande beschrijving en herken je jezelf hierin, dan willen we graag kennis met je maken! Gebruik de sollicitatiebutton en upload je cv.</p><p><b>
Een motivatiebrief is niet nodig</b>; in plaats daarvan ontvangen we graag een bondig antwoord op de volgende vraag: op welk afgerond Data Science project ben je het meest trots, en waarom?</p><p>
Voldoe je niet volledig aan alle vereisten voor deze functie maar denk je dat je een goede match voor ons bent, solliciteer dan en overtuig ons. Heb je een vraag? Aarzel dan niet om contact op te nemen met opal.srithaporn@kramp.com, Talent Acquisition Specialist.</p><p></p><p><b>
Over ons</b></p><p>
Dankzij onze ambities zijn we actief in heel Europa: een leidende positie in de agrarische markt voor onderdelen. We investeren fors in E-Business en innovaties. Ons doel is om het onze klanten gemakkelijk te maken. Werken bij Kramp betekent samenwerken met meer dan 3500 internationale collega's. De mensen bij Kramp zijn enthousiast, professioneel en betrokken. We spreken de taal van onze klanten, begrijpen hun uitdagingen en verdienen hun vertrouwen om hun verwachtingen te overtreffen. Onze belofte &quot;It's that easy&quot; zit verankerd in onze cultuur en DNA.</p><p></p><p><b>
Werken bij Kramp betekent:</b></p><p><b>
... je hoort hier!</b> Deel uitmaken van onze open business community</p><p><b>
... jouw werk maakt het verschil!</b> Impact hebben op wat er toe doet</p><p><b>
... je ontwikkelen en realiseren!</b> Leer en realiseer je potentieel</p><p>
Meer over Kramp: https://www.careeratkramp.com/nl-nl</p></div><p></p>

Spektrum

<div>
 <p>
  <span>
   Spektrum have a wide range of exciting opportunities in several global locations.&nbsp; We are always looking to add great new talent to our team and look forward to hearing from you.
  </span>
 </p>
 <p>
  <span>
   Spektrum supports apex purchasers (NATO, UN, EU, and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.
  </span>
 </p>
 <p>
  <span>
   <strong>
    Who we are supporting
   </strong>
   <strong>
    &nbsp;
   </strong>
  </span>
 </p>
 <p>
  <span>
   The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium.
  </span>
 </p>
 <p>
  <span>
   The NCIA provides a wide range of services, including:
  </span>
 </p>
 <ul>
  <li>
   <span>
    Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats.
   </span>
  </li>
  <li>
   <span>
    Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations.
   </span>
  </li>
  <li>
   <span>
    Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces.
   </span>
  </li>
  <li>
   <span>
    Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks.
   </span>
  </li>
  <li>
   <span>
    Information Management: The NCIA manages NATO's information technology infrastructure, including its databases, applications, and servers.
   </span>
  </li>
 </ul>
 <p>
  <span>
   Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities.
  </span>
 </p>
 <p>
  <span>
   <strong>
    The program
   </strong>
  </span>
 </p>
 <p>
  <span>
   <strong>
    Assistance and Advisory Service (AAS)
   </strong>
  </span>
 </p>
 <p>
  <span>
   The NATO Communications and Information Agency (NCI Agency) is NATO&rsquo;s principal C3 capability deliverer and CIS service provider. It provides, maintains and defends the NATO enterprise-wide information technology infrastructure to enable Allies to consult together under Article IV, and, when required, stand together in the face of attack under Article V.
  </span>
 </p>
 <p>
  <span>
   To provide these critical services, in the modern evolving dynamic environment the NCI Agency needs to build and maintain high performance-engaged workforce. The NCI Agency workforce strategically consists of three major categorise's: NATO International Civilians (NIC)'s, Military (Mil), and Interim Workforce Consultants (IWC)'s. The IWCs are a critical part of the overall NCI Agency workforce and make up approximately 15 percent of the total workforce.
  </span>
 </p>
 <p>
  <strong>
   Role ID &ndash; 2026-0095
  </strong>
 </p>
 <p>
  <strong>
   Role Background
  </strong>
 </p>
 <p>
  The NATO Information and Communication Agency (NCIA) located in The Hague, Netherlands, is currently involved in processing vast amounts and highly variant data coming from theatre for the purpose of efficient archiving. In light of these activities, within NCIA Chief Technology Office, the Exploiting Data Science and Artificial Intelligence (EDS&amp;AI) team is tasked to apply Big Data and AI technology to prepare, run and adjust processing pipelines for processing various source data into archiving formats and metadata, and prepare for (semantic) search. NATO has an obligation to support national investigations into situation that occurred in theatre. In order to support the different teams involved most optimal, the EDS&amp;AI team brings the expertise to extract and exploit the vast and varied data on the table, by using the Agency&rsquo;s high performance computing classified sandbox. The EDS&amp;AI team provides the core data science skills and technology needed for big data analysis and AI. The EDS&amp;AI team applies innovative technology to data whenever it is not possible to extract value with conventional approaches.
 </p>
 <p>
  <strong>
   Role Duties and Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Setting up / improving pipelines to process all required documents and that uniquely identifies and traces decisions and processing steps. This is to be conducted on the provided classified sandbox environment, with provided performance hardware and toolsets.
  </li>
  <li>
   Implementing / improving (missing) pipeline steps for marking duplicate files, based on file attributes, path (structure) and content (similarity), and rules for considering a file or structure a duplicate.
  </li>
  <li>
   Extracting document-format records from Functional Area Systems (FAS) databases and back-ups performed otherwise. Archiving SME&rsquo;s and system SME&rsquo;s are available for guidance on target formats and source system structure and data interpretation. Each FAS is processed separately.
  </li>
  <li>
   Processing / Monitoring progress of various office, image and video file types to the accepted archiving formats, including extraction of metadata and preparing search semantic indexes.
  </li>
  <li>
   Automating registering all processed documents with semantic indexes with the sandbox natural language search tool.
  </li>
  <li>
   Automating the final copy of all non-duplicate and extracted archive documents with content and metadata to the NATO archiving system.
  </li>
  <li>
   Reporting status, progress and statistics of the (raw) files being processed to archive formats, metadata and search indexes.
  </li>
  <li>
   Delivering full reporting of results, trace of pipeline steps taken and (stakeholder) accepted failures. Quarterly updates.
  </li>
 </ul>
 <p>
  <strong>
   Essential Skills, Experience and Certifications
  </strong>
 </p>
 <ul>
  <li>
   At least 3 years of practical experience in the field of data science and/ or data analytics;
  </li>
  <li>
   Experience using data processing/visualization/analytics software packages and development environments, preferably such as KNIME, VS Code, GitLab, Power BI, Jupyter Lab, and Docker-based API;
  </li>
  <li>
   Experience with data processing Big Data, creating and utilizing containerized building blocks and running containers (APIs) on Kubernetes clusters;
  </li>
  <li>
   Experience with programming/scripting in languages like Python, R, SQL and working with data formats like CSV, XML, JSON;
  </li>
  <li>
   Experience performing content extraction from files/databases/systems, (LLM-based) embedding models, entity-extraction, key-word-extraction and content similarity measures;
  </li>
  <li>
   Creative, flexible and pro-active overcoming obstacles;
  </li>
  <li>
   Good drafting, communication and presentation skills in English, including technical and non-technical levels;
  </li>
  <li>
   High attention to detail and accuracy;
  </li>
 </ul>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Master in Computer Science, Engineering or relevant field.
  </li>
  <li>
   A higher degree in Data Science is preferred.
  </li>
 </ul>
 <p>
  <strong>
   Working Location
  </strong>
 </p>
 <ul>
  <li>
   The Hague, Netherlands
  </li>
 </ul>
 <p>
  <strong>
   Working Policy
  </strong>
 </p>
 <ul>
  <li>
   On-site
  </li>
 </ul>
 <p>
  <strong>
   Travel
  </strong>
 </p>
 <ul>
  <li>
   Some travel to other NATO sites may be required
  </li>
 </ul>
 <p>
  <strong>
   Security Clearance
  </strong>
 </p>
 <ul>
  <li>
   Valid National or NATO Secret personal security clearance
  </li>
 </ul>
 <p>
  <span>
   We never know what new opportunities might be just over the horizon. If this opportunity isn't for you, please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.&nbsp;
  </span>
 </p>
</div>


Data Engineer

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

<div>Data Scientist Transaction Banking<div><div><div><h2 class="jobSectionHeader"><b>
At a glance</b></h2></div><div><p>
Are you a<b> </b>Data Scientist, who is fascinated by the financial sector and eager to explore the world of banking products? Do you want to be part of a team of young and highly motivated Data Professionals, who are entrusted and empowered to make use of data for strategic, operational, and tactical decision making? Does the idea of an autonomous team with the freedom to learn, grow and make impact sound exciting? The Transaction Banking Data Domain is this and more!</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Working environment</b></h2></div><div><p>
We are the Advanced Analytics and AI Center of Expertise (AA&amp;AI CoE), part of the Transaction Banking Data Domain and our purpose is to Drive Excellence Through Transaction Banking Data. Our value stream covers a vast portfolio of products: accounts, payment cards, packages, savings, insurances, open banking APIs, trade finance, digital products like Apple Pay/ Google Pay, and associated sales, business &amp; risk management processes. We contribute significantly to the revenue of the bank by strengthening data driven decision making.</p><p></p><p><br>
We apply advanced analytics and emerging technologies (like GenAI) to explore, research and gather valuable insights; predict and forecast trends of product&rsquo;s usage and transactions; optimize processes; define, report &amp; monitor and improve performance ; advise on new proposition designs and duty of care topics; help decide the course of action and setting priorities to achieve great customer satisfaction and vendor relations. We also act as change agents to embed a data driven mindset at all levels of the organization enabling them to harness full potential of the data that we have, thereby strengthening data maturity and literacy in the bank. All our Data Scientists that work within AA&amp;AI CoE have T-shaped profiles and next to data science they can play different roles like: Subject Matter Experts, Business Liaisons etc.</p><p></p><p><br>
The Transaction Banking Data Domain consist of 40+ members and are based across the Netherlands and India. We value diversity and inclusion and the team atmosphere is dynamic, open and informal. We follow agile principles and work on cross departments and cross functional initiatives while collaborating with business experts, business developers, product owners, seniors and leaders &ndash; hence providing a golden opportunity for networking and serving as a knowledge haven. We have developed a culture where entrepreneurial spirit, empathy, element of fun and celebrating successes is truly appreciated. We do this by respecting and living bank&rsquo;s values: Care, Collaboration and Courage!</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your job</b></h2></div><div><p>
In your role as a Data Scientist, you will:</p><ul><li>
Drive Advanced Analytics &amp; AI innovation by developing use cases leveraging emerging technologies, fostering a culture of experimentation, innovation, and continuous improvement</li><li>
Design and develop AI solutions (Machine Learning, Generative AI, AI Agents) in close collaboration with ML Engineers, AI Architects, Data Engineers, and Data Analysts</li><li>
Translate business challenges into data questions, understand underlying processes for various products &amp; services, identifying the right analytical techniques, and connect the dots</li><li>
Lead and contribute to projects end-to-end, balancing individual ownership with cross-functional collaboration, delivering value incrementally</li><li>
Conduct data exploration and experimentation across diverse datasets (products, transactions, channels, customers, CRM/sales) to generate insights</li><li>
Act as a data sparring partner with business stakeholders on smart KPIs &amp; reports, with relevant insights for the right audience</li><li>
Communicate insights effectively through structured storytelling, clear visualizations, and well-organized work practices</li><li>
Engage and guide non-technical stakeholders and team members on Advanced Analytics cases while managing diverse collaborators across multidisciplinary teams</li><li>
Stay current and curious about trends in advanced analytics, GenAI, and cloud platforms (e.g., Databricks), continuously challenging the status quo</li><li>
Drive continuous improvement and automation of analytical solutions and processes, proactively identifying opportunities to solve business and technical challenges</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Your profile</b></h2></div><div><p>
Do you think you are a fit? Check your qualifications:</p><ul><li>
Degree in STEM or economics/business, with an analytics focus</li><li>
6-8 years of work experience, with at least 3 years in data science field</li><li>
Exhibit high level of proficiency in programming languages such as Python, PySpark, SQL and coding best practices</li><li>
Experience with Machine Learning and AI (Forecasting, Prediction, Cluster Analysis, Generative AI, LLMs, RAG, Document processing, AI Agents), and eagerness to learn and develop in that area</li><li>
A combination of analytical skills, intellectual curiosity, communication, and reporting skills</li><li>
Effective written and verbal communication skills in English (and Dutch)</li><li>
Great to have: Knowledge of the financial sector and/or banking products</li><li>
Great to have : Experience in working on azure/ Databricks/ or similar cloud platforms</li><li>
Great to have: Affinity towards technical topics including data and machine learning engineering</li><li>
Great to have: Microsoft DP-100 certification (Azure Data Scientist Associate)</li><li>
Nice to have: Knowledge of agile methodology, and ability to manage multiple priorities simultaneously</li><li>
Nice to have: Microsoft AZ-900 certification (basic knowledge of Azure cloud services)</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
We are offering</b></h2></div><div><p>
We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing.</p><p></p><p><br>
In addition, we offer:</p><ul><li>
An attractive gross monthly salary based on a 36‑hour work week, including holiday allowance and a flexible benefit budget.</li><li>
An excellent pension scheme, ensuring that you are well prepared for the future.</li><li>
Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you.</li><li>
Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually.</li><li>
Five &ldquo;Banking for better days&rdquo;: extra days off that you can use for personal development or volunteer work.</li><li>
Personal development is key: you receive a development budget of &euro;1,000 per year, which can accumulate up to &euro;3,000.</li><li>
An annual public transport pass with free public transportation throughout the Netherlands for both business and private use.</li></ul><p><br>
<br>
You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Interested?</b></h2></div><div><p>
Please submit your application through our system, including your CV and a motivation letter. Applications sent via email cannot be considered. 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 Transaction Banking

THE MARCOM ENGINE

<div><p>We are looking for a Data Scientist (all genders) to join THE MARCOM ENGINE (part of the Serviceplan Group) in Munich at the earliest possible start date in full-time.
<br>
<br>
In this role, you&rsquo;ll be part of a multidisciplinary team bridging data science, strategy, and automation and contribute to exciting projects at the forefront of digital transformation, working on innovative consumer insights initiatives and personalization measures for globally recognized brands.
</p><b>What you can expect:</b>
<ul><li>Develop and implement machine learning models and algorithms
</li><li>Conduct data analysis to identify patterns, trends and insights
</li><li>Participate in projects related to data and processing for AI Agents
</li><li>Work closely with internal and client stakeholders to formulate data-driven solutions
</li><li>Validate models and interpret results by performing statistical analysis and hypotheses
</li><li>Stay updated with the latest developments and best practices in data analytics and data science
</li><li>Ensure maintenance of data science model and process documentation
</li><li>Apply machine learning and automation to scale analyses and accelerate insights
</li><li>Create advanced analytical models that demonstrate how marketing contributes to business growth&mdash;from media effectiveness to customer lifetime value
</li><li>Work in a multidisciplinary team across data science, strategy, and automation to advance data-driven marketing measurement and optimization
</li></ul><b>What we expect from you:</b>
<ul><li>A completed degree in a quantitative, analytical, or business-related field (e.g. Data Science, Statistics, Mathematics, Computer Science, Business Informatics) or a comparable qualification
</li><li>Several years of experience as a Data Scientist or Marketing Analyst, ideally with a strong focus on statistical modeling and marketing analytics, preferably in an agency or dynamic environment
</li><li>Excellent Python skills and experience with relevant libraries
</li><li>Excellent knowledge in handling data queries and confidence handling different data types (SQL, Redshift, PostgreSQL)
</li><li>Experience applying machine learning and automation to accelerate analytical workflows
</li><li>Familiarity with cloud environments such as GCP, AWS, or Azure, as well as visualization tools like Quicksight, Tableau, Power BI, or Looker
</li><li>Ability to translate complex statistical findings into clear, strategic insights
</li><li>Experience with Digital Analytics platforms or Marketing campaign data
</li><li>Excellent communication skills in English and German
</li><li>Curiosity, initiative, and a collaborative mindset
</li><li>Knowledge of information security and awareness of information security principles
</li></ul><b>What we offer:</b>
<ul><li><b>Onboarding: </b>Welcome round, digital onboarding day, newcomer coffee and newcomer round - we'll make sure your start is perfect continuing.</li><li><b>
Education: </b>Your development is important to us. Whether through our internal campus training program, voluntary language courses or regular coaching - we keep you up to date!</li><li><b>
Flexibility</b>: Flexible working hours, mobile office and job sharing models allow you to adapt your job to your life - and not the other way around.</li><li><b>
Fun: </b>If you work, you also have to take a break. Whether it's partying or working out - with us, you'll have plenty of opportunities thanks to regular after-work events and agency-sponsored fitness programs.</li><li><b>
Location: </b>Our modern office in Munich&rsquo;s creative district is easy to reach thanks to its convenient location.</li><li><b>
Internationality:</b> As an internationally operating agency group, we offer you the opportunity to network and exchange ideas with colleagues from different disciplines all over the world.</li></ul></div>

Data Scientist (all genders)

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