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prosus

<div><p><b>About Prosus</b></p>
<p>
Prosus is one of the world's largest consumer internet groups &mdash; a global investor and operator with a portfolio of 90+ companies spanning e-commerce, fintech, food delivery, and education technology across 100+ countries. Home to brands like iFood, OLX, PayU, and Takealot, we back bold entrepreneurs solving real problems at a meaningful scale. Sustainability is not a side programme &mdash; it is central to how we create long-term value for people and planet.</p><br>
<div></div>
<p><b>
The Role</b></p>
<p>
This is a newly created position for an AI engineer ready to deploy their skills where they can drive meaningful, scalable transformation. You will be the architect of an increasingly agentic sustainability function &mdash; building the systems, workflows, and infrastructure that replace manual effort with intelligent automation across Prosus&rsquo;s global ESG and social impact operations.</p><br>
<div></div>
<p>
Your remit is threefold:</p>
<ul>
<li><div>redesign how sustainability data is collected, governed, and reported &mdash; moving from resource-intensive manual processes to AI-driven, audit-ready workflows that meet external compliance requirements;</div>
</li>
<li><div>build the end-to-end data and automation infrastructure for the Prosus Foundation (social impact), from funding applications through board approval to external impact reporting; and</div>
</li>
<li><p>serve as the innovation engine for a sustainability team that is actively embracing AI and digital tools as core operating infrastructure.</p></li></ul><br>
<div>
</div><p>This role offers real ownership from day one.</p><br>
<div></div>
<p><b>
What You&rsquo;ll Do</b></p>
<ul>
<li><div>Architect and lead the end-to-end redesign of Prosus&rsquo;s ESG data infrastructure &mdash; from collection and governance to externally assured, ESRS-compliant annual reporting.</div>
</li>
<li><div>Build and deploy AI-driven automation across sustainability data collection and reporting workflows &mdash; eliminating manual effort at scale across the Group.</div>
</li>
<li><div>Design and maintain an intelligent, end-to-end process for the Prosus Foundation &mdash; automating everything from funding applications and board approvals through to external social impact reporting.</div>
</li>
<li><div>Partner with internal and external data owners, sustainability leads, and finance colleagues to optimise data definitions, ownership structures, and quality controls.</div>
</li>
<li><div>Build dashboards and reporting tools that make ESG performance transparent and accessible to both internal stakeholders and external audiences.</div>
</li>
<li><div>Identify, pilot, and embed automation and AI opportunities continuously &mdash; running experiments and scaling what works across the global sustainability team.</div>
</li>
<li><p>Apply AI and digital tooling to high-impact sustainability domains &mdash; including climate, business travel, platform workers, and beyond.</p>
</li>
</ul><p><b>What We&rsquo;re Looking For</b></p>
<ul>
<li><div>3+ years of hands-on experience in AI engineering, data engineering, or automation &mdash; with a track record of building workflows, pipelines, or agentic systems that replace manual processes.</div>
</li>
<li><div>Proven ability to design and deploy automation using coding, AI tooling, scripting, or low-code/no-code platforms.</div>
</li>
<li><div>Working knowledge of ESG reporting frameworks (CSRD, ESRS, GRI, or ISSB) &mdash; whether gained through direct professional experience or demonstrably deep independent study.</div>
</li>
<li><div>Strong analytical skills: able to translate complex regulatory requirements into practical, technology-driven solutions.</div>
</li>
<li><div>Excellent written and verbal communication in English; confident presenting to both technical and non-technical audiences.</div>
</li>
<li><div>Self-starter with high ownership &mdash; comfortable navigating ambiguity and driving progress without a detailed roadmap.</div>
</li>
<li><p>Right to work in the Netherlands (relocation support available &mdash; confirm with hiring team)</p></li></ul></div><div></div>

ESG AI Innovation Specialist

Zscaler

<div><div><p>About <b>Zscaler</b></p>
<p>
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an <b>AI-forward enterprise</b>, we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.</p>
<p>
Here, <b>impact in your role matters more than title</b> and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value <b>constructive, honest debate</b>&mdash;we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on <b>customer obsession</b>, collaboration, ownership, and accountability.</p>
<p>
We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges, and want to be part of the team that's helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.</p></div><h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p>
The AI revolution is here, and enterprises are racing to adopt GenAI - but they cannot deploy what they cannot secure. Zscaler is seeking an experienced <b>Principal AI Security Specialist</b> to bridge the gap between cutting-edge AI innovation and robust enterprise security.</p>
<p>
In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. If you are a builder, an educator, and a master storyteller who thrives in a fast-evolving market, this is your chance to lead the industry's most critical conversation.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3>
<ul><li><b>Architect the AI Technical Strategy:</b> Partner with enterprise account teams to own and execute the technical sales strategy, driving complex, high-value AI security opportunities from discovery to close.</li>
<li><b>Deliver Compelling, High-Impact Demos &amp; POVs:</b> Configure and present tailored, outcome-driven demonstrations of Zscaler's AI security platform that resonate with both deep-tech practitioners and C-level executives. When needed, take customers through successful demos and POVs to validate Zscaler's ability to securely enable enterprise AI.
</li><li><b>Serve as a Subject Matter Expert:</b> Act as the field authority on modern AI patterns (such as RAG, agents, and prompt workflows), advising clients on how to prevent sensitive data exposure and unsanctioned AI usage.</li>
<li><b>Scale the Field Motion:</b> Collaborate with Product and Engineering to inject real-world customer feedback into the product roadmap, while building reusable demo assets and enablement playbooks to upscale our global sales force.</li>
<li><b>Enable Those Around You: </b>Develop reusable demos, technical assets, competitive positioning, and enablement content to help scale Zscaler's AI field motion while sharing best practices and training with enterprise account teams</li>
</ul>
<p><b>Who You Are (Success Profile)</b></p>
<ul>
<li><b>You thrive in ambiguity.</b> You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.</li>
<li><b>You act like an owner.</b> Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what's needed, navigating seamlessly between high-level strategy and hands-on execution.</li>
<li><b>You are a high-trust collaborator.</b> You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback&mdash;knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.</li>
<li><b>You are customer-obsessed.</b> You build deep empathy for the customer&mdash;both internal and external&mdash;and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.</li>
<li><b>You are driven by innovation.</b> You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.</li>
</ul><h3 class="jobSectionHeader"><b>What We're Looking For</b></h3>
<ul><li><b>Deep Fluency in AI/GenAI:</b> Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP (Model Context Protocol) orchestration patterns, and the inherent security risks associated with them.</li>
<li><b>10+ Years of Solutions Engineering Mastery:</b> A proven track record in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Technical Advisory) navigating complex, enterprise-level sales cycles.</li>
<li><b>Enterprise Security Foundations:</b> Solid grasp of cybersecurity principles, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.</li>
<li><b>Elite Executive Communication:</b> Exceptional presentation and storytelling skills, with a demonstrated ability to seamlessly translate complex AI architectures into tangible business value and security outcomes.</li>
<li><b>Collaborate and Co-elevate:</b> Successfully work cross-functionally with Sales, Solutions Engineering, Product, Engineering, Marketing, and other go-to-market teams in a hyper-growth, rapidly evolving market.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li><b>Hands-on AI Prototyping:</b> Interacting with LLM APIs, scripting, creating agentic automation routines, and building lightweight AI applications.</li>
<li><b>Advanced AI Risk Expertise:</b> Direct experience helping enterprises deploy production AI technologies while navigating data leakage, model governance, compliance frameworks, and shadow AI usage.</li>
<li><b>Scale &amp; Enablement Focus:</b> A history of creating high-impact field assets, technical workshops, and competitive positioning content that helps broader go-to-market teams win.</li>
</ul>
<p>#LI-MM8</p>
<p>
#LI-REMOTE</p><div><p>
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.</p>
<p>
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:</p>
<div>
<ul><li>Various health plans</li>
<li>Time off plans for vacation and sick time</li>
<li>Parental leave options</li>
<li>Retirement options</li>
<li>Education reimbursement</li>
<li>In-office perks, and more!</li>
</ul>
<div><p>Learn more about Zscaler's hybrid working model and benefits here.</p>
</div>
</div><p>By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.</p>
<p>
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. <i>See more information by clicking on the </i><i>Know Your Rights: Workplace Discrimination is Illegal </i><i>link.</i></p>
<p>
Pay Transparency</p>
<p>
Zscaler complies with all applicable federal, state, and local pay transparency rules.</p>
<p>
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.</p></div></div>

Principal AI Security Specialist, BeNeLux & Nordics

ABN AMRO

<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

<div>Data Scientist Transaction Banking (Amsterdam)<div><div><div><h2 class="jobSectionHeader"><b>
In het kort</b></h2></div><div><p>
Ben jij een Data Scientist met interesse in de financi&euml;le sector en wil je &eacute;cht impact maken met data? In het Transaction Banking Data Domain werk je in een ambitieus team van dataprofessionals aan vraagstukken die er toe doen, van strategie tot operatie. Je krijgt de ruimte om te experimenteren, je verder te ontwikkelen en met jouw inzichten het verschil te maken.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Werkomgeving</b></h2></div><div><p>
Wij zijn het Advanced Analytics &amp; AI Center of Expertise (AA&amp;AI CoE), onderdeel van het Transaction Banking Data Domain. Onze missie is om maximale waarde te halen uit transactionele bankdata en zo bij te dragen aan betere besluitvorming binnen de bank. Ons domein omvat een breed portfolio aan producten en diensten, zoals rekeningen, betaalkaarten, spaarproducten, verzekeringen, open banking API&rsquo;s, handelsfinanciering en digitale oplossingen zoals Apple Pay en Google Pay. Ook de bijbehorende verkoop-, bedrijfs- en risicomanagementprocessen vallen hieronder. Met datagedreven inzichten spelen we een belangrijke rol in het versterken van de resultaten van de bank.</p><p><br>
We zetten advanced analytics en nieuwe technologie&euml;n (zoals Generative AI) in om waarde uit data te halen. Denk aan het ontdekken van trends in productgebruik en transacties, het voorspellen van ontwikkelingen, het optimaliseren van processen en het verbeteren van prestaties. Daarnaast adviseren we over nieuwe proposities, zorgplichtvraagstukken en prioriteiten die bijdragen aan betere klant- en leveranciersrelaties.</p><p><br>
Ook werken we actief aan het vergroten van de datagedreven manier van werken binnen de organisatie. We helpen de bank om stappen te zetten in data maturity en data literacy, zodat data op alle niveaus beter wordt benut.<br>
Ons team bestaat uit ruim 40 collega&rsquo;s in Nederland en India. We werken in een open, informele en inclusieve omgeving, waarin ruimte is voor verschillende perspectieven. We hanteren agile werkwijzen en werken veel samen met collega&rsquo;s uit verschillende disciplines, zoals business experts, product owners en senior stakeholders. Dat biedt volop kansen om te leren, te groeien en je netwerk uit te breiden.</p><p><br>
Binnen het team staan ondernemerschap, samenwerking en plezier centraal. Successen vieren we samen, en we werken volgens de kernwaarden van de bank: Care, Collaboration en Courage.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Je werk</b></h2></div><div><ul><li>
Je draagt bij aan geavanceerde analytics en AI-innovaties door use cases te ontwikkelen met nieuwe technologie&euml;n. Daarbij stimuleer je een cultuur van experimenteren, innovatie en continu verbeteren.</li><li>
Je ontwerpt en bouwt AI-oplossingen (zoals Machine Learning, Generative AI en AI Agents) in nauwe samenwerking met ML Engineers, AI Architects, Data Engineers en Data Analysts.</li><li>
Je vertaalt businessvraagstukken naar datavragen, verdiept je in processen achter producten en diensten, kiest passende analysetechnieken en legt verbanden.</li><li>
Je werkt mee aan projecten van begin tot eind en neemt daarin eigenaarschap, terwijl je ook actief samenwerkt in multidisciplinaire teams om stap voor stap waarde te realiseren.</li><li>
Je verkent en analyseert verschillende datasets (zoals producten, transacties, kanalen en klantdata) om tot relevante inzichten te komen.</li><li>
Je fungeert als sparringpartner voor stakeholders en ondersteunt hen met scherpe KPI&rsquo;s, rapportages en inzichten die aansluiten bij hun behoeften.</li><li>
Je presenteert inzichten helder en overtuigend met behulp van storytelling, duidelijke visualisaties en een gestructureerde aanpak.</li><li>
Je begeleidt niet-technische stakeholders en collega&rsquo;s bij advanced analytics vraagstukken en werkt samen met diverse teams.</li><li>
Je blijft op de hoogte van ontwikkelingen binnen advanced analytics, Generative AI en cloudplatforms (zoals Databricks) en daagt bestaande werkwijzen continu uit.</li><li>
Je zet je in voor verdere verbetering en automatisering van analytische oplossingen en processen en signaleert proactief nieuwe kansen.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Je profiel</b></h2></div><div><ul><li>
Afgeronde HBO of WO in STEM, Bedrijfskunde, of andere relevante analytische opleiding</li><li>
6-8 jaar werkervaring, waarvan minimaal 3 jaar op het gebied van data science.</li><li>
Skilled in Python, PySpark, SQL en kennis van coding best practices.</li><li>
Ervaring met Machine Learning en AI/GenAI</li><li>
Analytisch, nieuwsgierig, communicatief in Engels</li><li>
Pr&eacute;: Kennis van de financi&euml;le sector en/of bankproducten, Azure/Databricks of vergelijkbare cloudplatforms, machine learning, Microsoft DP-100, Microsoft AZ-900, Agile kenni</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Wij bieden</b></h2></div><div><p>
Het is voor ons belangrijk om een goede werkgever te zijn. Wij bieden je daarom een functie met impact &eacute;n uitstekende arbeidsvoorwaarden die bijdragen aan jouw werkplezier, ontwikkeling en wellbeing.</p><p><br>
<br>
Daarnaast bieden wij:</p><ul><li>
Een aantrekkelijk bruto maandsalaris op basis van een 36‑urige werkweek. Dit is inclusief vakantiegeld en een flexibel benefit budget.</li><li>
Een uitstekende pensioenregeling, zodat je goed voorbereid bent voor later.</li><li>
Flexibiliteit in werken: thuiswerken is mogelijk in overleg met je team en afhankelijk van je functie. Wij regelen een ergonomische thuiswerkplek voor je.</li><li>
Ruimte voor ontspanning met vijf weken vakantie per jaar, aangevuld met twee verplichte vrije dagen. Daarnaast kun je jaarlijks tot vier extra weken vakantie bijkopen.</li><li>
Vijf &lsquo;Banking for better days&rsquo;: extra vrije dagen die je kunt inzetten voor persoonlijke ontwikkeling of vrijwilligerswerk.</li><li>
Persoonlijke ontwikkeling staat centraal: je ontvangt een ontwikkelbudget van &euro;1.000 per jaar, dat je kunt opsparen tot &euro;3.000.</li><li>
Een OV-jaarabonnement met gratis openbaar vervoer in heel Nederland voor zakelijk en priv&eacute; gebruik.</li></ul><p></p><p><br>
Meer informatie over onze arbeidsvoorwaarden en salarisschalen vind je in onze CAO die van toepassing is op deze vacature.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Interesse?</b></h2></div><div><div>
Graag ontvangen wij je sollicitatie via ons systeem, inclusief cv en motivatiebrief. Sollicitaties per e-mail worden niet in behandeling genomen. We kijken ernaar uit je te ontmoeten!</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Jouw Toekomst: Inclusief, Innovatief en Duurzaam</b></h2></div><div><p>
Bij ABN AMRO geloven we in &quot;<b>Banking for better, for generations to come.</b>&quot; Gelijke kansen voor iedereen vormen een belangrijk fundament, waarbij we streven naar een inclusieve cultuur waarin alle medewerkers zich gezien, gehoord en gewaardeerd voelen. Onze visie als <b>persoonlijke bank in de digitale tijd </b>sluit naadloos aan bij de behoefte aan verrassende inzichten en innovatieve oplossingen, voortkomend uit een divers samenspel van culturen en ervaringen. We richten ons op klantbeleving, duurzaamheid en bouwen aan een toekomstbestendige bank, waarbij we gelijke beloning voor gelijk werk jaarlijks onderzoeken om eerlijke kansen te waarborgen. Sluit je aan bij een bank die vindingrijkheid en ambitie omarmt, en maak samen met ons impact voor een betere toekomst.<br>
<br>
<i>Als je wilt solliciteren voor het B-Able of Reboot programma, zorg er dan voor dat je dit vermeldt zowel in de titel als in de inhoud van je cv.</i></p></div></div><div><div><h2 class="jobSectionHeader"><b>
Disclaimer externe recruitmentbureaus</b></h2></div><div><p>
Externe recruitmentbureaus dienen een overeenkomst met ABN AMRO BANK N.V. te hebben getekend, uitgegeven door een Talent Acquisition Specialist, om cv's te mogen indienen. Acquisitie wordt daarom niet op prijs gesteld.</p></div></div></div></div>

Data Scientist Transaction Banking (Amsterdam)

Solid Professionals

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


Data Scientist GenAI

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>


Data Scientist

Avanade

Job Description
<br><div><p><b>Introduction:
</b><br>
<br>
To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below as we continue to build on another year of growth in our business. Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future. What does this mean for you? We encourage you to apply and interview for this role without the need to decide now. This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first to know.
<br>
<br>
Our talented AI Engineering team is made up of globally recognized experts - and there's room for more analytical, innovative, client-driven data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
</p><p></p><p><b>Key Responsibilities:<br>
</b></p><p><br>
Model Development and Deployment:
</p><ul><li><p>Evaluate and select appropriate Generative AI models based on business needs, ensuring alignment with use case requirements.
</p></li><li><p>Leverage Azure ML,OpenAI APIs, and other Generative AI technologies based on a given design.
</p></li><li><p>Implement best practices for model development, training, and deployment pipelines.
</p></li><li><p>Create and deploy pipelines for model training, evaluation, and monitoring inAzure ML.
</p></li><li><p>Optimize model performance for latency, scalability, and accuracy, ensuring compliance with regulatory and organizational standards.<br>
</p></li></ul><p><br>
AI Integration and Innovation:
</p><ul><li><p>Integrate Generative AI solutions with enterprise applications, APIs, and data sources.
</p></li><li><p>Leverage Azure AI model catalog (Microsoft, OpenAI, Mistral, Meta, etc) APIs to implement conversational AI, document summarization, image generation, or other innovative use cases.
</p></li><li><p>Explore advancements in AI/ML technologies, recommending tools, frameworks, and practices to enhance the organization's AI capabilities.<br>
</p></li></ul><p><br>
Collaboration and Leadership:
</p><ul><li><p>Partner with cross-function al teams, including data engineers, cloud architects, and business analysts, to align AI/ML solutions with business objectives.
</p></li><li><p>Communicate complex (Gen) AI concepts to non-technical stakeholders, fostering a culture of innovation and understanding</p></li></ul></div><p></p>
<br>Qualification
<br><div><p><b>Technical Skills:
</b></p><ul><li><p>Experience Delivering GenAI (LLMs) solutions, preferably on Azure.
</p></li><li><p>Familiar withusing Azure AI library APIs(e.g., GPT, Codex, DALLE) &amp; other frameworks (e.g. Databricks Mosaic) to integrate Generative AI into business workflows.
</p></li><li><p>Proficient with at least one programming language, such as Python, PySpark, R, SQL, etc.
</p></li><li><p>Knowledge of big data technologies (e.g., Spark, Databricks), TensorFlow, PyTorch are a plus.
</p></li><li><p>Knowledge of Azure Cloud services (e.g., Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services) and their integration with ML workflows is a plus.
</p></li><li><p>Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection is a plus.<br>
</p></li></ul><p><br>
<b>Soft Skills:
</b></p><ul><li><p>Excellent problem-solvin g and analytical thinking skills.
</p></li><li><p>Strong communication and presentation skills, with the ability to translate technical concepts into business outcomes.
</p></li><li><p>Proven ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment.<br>
</p></li></ul><p><br>
<b>Preferred Qualifications:
</b></p><ul><li><p>Experience withGenAI Large Language Models (LLMs) solution development and fine-tuning for domain-specifi c tasks.
</p></li><li><p>Certifications in Azure or Databricks (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional).
</p></li><li><p>Familiarity with AI ethics, bias mitigation, and explainability techniques.
</p></li><li><p>Prior experience in implementing AI/ML solutions in industries such as healthcare, finance, or retail is a plus.</p></li></ul></div>

Junior AI Engineer - Based in Netherlands

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