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About CHAPTERS Group CHAPTERS Group is a listed German serial acquirer of vertical market software companies. We have grown 10x in the past five years and now own 55+ companies. Each one runs its own business, close to its customers. We help them get stronger without taking over. AI is one of the biggest opportunities we see for them, and it only works if the people in these companies actually use it. Tasks The Role German (C1+) and English required You make sure 10+ software companies get real value out of AI. You work embedded in one of our portfolio platforms. You own the AI Hub for its companies. The AI Hub is our Open WebUI-based AI platform: each company has its own instance in its own tenant, and the data stays in the EU. You keep it running, roll it out, fix what breaks, and help each company's people use it well. You are part of the AI Core Team in the CTO office. You work closely with us: you bring back what you see in the field, test new capabilities, and help shape the platform for all 55+ companies. You are hands-on. You deploy, configure, fix and integrate. Each company also has AI Champions who drive adoption locally. You are their technical backbone: when something needs engineering, you do it, and you make sure the next similar request is faster. What You Will Do Run the AI Hub for 10+ companies: deployments, updates, configuration, SSO with Entra ID, monitoring, backups and incident handling Onboard companies and teams: set up skills, knowledge bases and tools and get each company productive on the Hub Be the technical point of contact: when something breaks or a Champion is stuck, you diagnose and fix it. You document recurring issues so they get solved once. Connect the Hub where a use case needs it: Microsoft 365 / Graph, CRM, ticketing and ERP systems, through tools, MCP servers and REST APIs Turn repeated questions into reusable assets: documentation, templates and short hands-on sessions Work with the AI Core Team: share patterns across companies, test new features, and feed back into the platform roadmap Support our M&A team occasionally (around 10 to 20% of your time) on technical questions, for example assessing the tech and AI stack of acquisition targets What We Are Looking For Required German (C1 or higher) and fluent English. You work with managing directors and non-technical teams in German every day. We cannot make exceptions here. Production operations experience. You have deployed and operated containerised applications in production (Docker, CI/CD, Linux, a major cloud, Azure preferred), and you were responsible when they broke. This usually means 2+ years in a DevOps, platform, SRE or backend role. Python you are comfortable reading, debugging and extending Hands-on with LLMs. You use them seriously in your own work and have built something with them, at work or on the side. You know where they fail. You explain technical things so non-technical people understand them and can act on them. You are comfortable being the go-to technical person for teams that are not technical. Strong signals Enterprise identity: Entra ID, OAuth, SSO Self-hosted LLM platforms such as Open WebUI or LibreChat MCP, tool calling, agent frameworks Infrastructure as Code (Bicep, Terraform) A support, solutions or customer-facing technical role in your background Experience working across several companies, tenants or a group structure This role is not for you if you want to spend most of your time building new AI products from scratch you are looking for ML research or model training you want to work only with engineers and avoid direct contact with business teams Benefits What You Get Real ownership: 10+ companies, one platform, and you are the person who makes AI work there A small team in the CTO office with a direct line to leadership. Decisions get made fast. Impact beyond your platform: what works for your companies becomes the standard for 55+ Permanent full-time position , remote-first, with occasional on-site time Development: talent reviews, events and conferences. We hire people who want to grow with us. How to Apply Send your CV and answer this one question in German , max. 200 words. No cover letter needed. Tell us about a system you ran in production that broke. What happened, what did you do, and what changed afterwards? We are looking forward to your application! Find more English Speaking Jobs in Germany on Arbeitnow

Dein Weg zu Scalefree Du willst schon während oder direkt nach deinem Studium Berufserfahrungen sammeln? Bei Scalefree bist Du als Praktikant mittendrin, statt nur dabei. Du hast Lust auf Systemintegration im Cloud Bereich und der Weiterentwicklung von Informationssystemen? Dann unterstütze uns bei interessanten internen und externen Projekten und lerne von versierten Experten. Das Praktikum ist für eine Dauer von drei Monaten vorgesehen - Pflichtpraktika in benötigter Länge - und kann entweder vor Ort in Hannover oder Köln absolviert werden. Bitte gib in deiner Bewerbung an, ob du ein Pflichtpraktikum, oder ein freiwilliges Praktikum bei uns absolvieren möchtest. Zusätzliche bieten wir auch für Daten faszinierte ein Quereinsteiger Praktika an. Deine Aufgaben Unterstützung unseres Teams bei der Entwicklung und Umsetzung von internen Data & AI Engineering Projekten (Datenextraktion, Data Staging, Reporting) Mithilfe bei der Anbindung und Analyse von Datenquellen an unser Data Platform (Data Vault 2) Übernahme praktischer Aufgaben innerhalb unseres internen Data Platform Teams Praktisches Implementation von Data Vault 2 mit Schwerpunkt auf Staging, Modellierung und Information Delivery Das bringst Du mit Ein fortgeschrittenes Studium der Informatik, Wirtschaftsinformatik oder eines vergleichbaren Studiengangs Datenbankkenntnisse und/oder SQL-Vorkenntnisse von Vorteil Zuverlässigkeit und selbstständige Arbeitsweise Teamfähigkeit wird vorausgesetzt Gute Englisch- und Deutschkenntnisse erwünscht Was Dich bei uns erwartet? Entwicklungsmöglichkeiten in einem mittelständischen Unternehmen mit der möglichen Option auf einen späteren Einstieg Individuelle und kontinuierliche Weiterbildungsangebote Einen Teamgeist, der von einem kollegialen Miteinander geprägt ist Verantwortung für deine eigenen Projekte (nach einer strukturierter Einarbeitung, unterstützt durch unser BI-Team) Find more English Speaking Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Essen oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Übernahme der fachlichen Verantwortung für die Betreuung und Entwicklung von Demonstratoren für unser Business Development Aktive Verfolgung aktueller Trends und Entwicklungen im Bereich Generative AI durch kontinuierliche Recherche und das Experimentieren mit neuen Tools Übernahme der Leitung oder auch Mitarbeit an Projekten mit Schwerpunkt auf dem technischen Steering - Besonderes Augenmerk liegt hier auf der Qualitätssicherung in den Bereichen Data Science und Prompt Engineering Konzeption und Umsetzung von internen Schulungen, um das Wissen im Team zu vertiefen und die kontinuierliche Weiterbildung innerhalb des Unternehmens zu fördern Aktive Teilnahme an relevanten Konferenzen sowie das Halten von Vorträgen, um das erlangte Wissen zu teilen und als Expert:in und Repräsentant:in unseres Unternehmens aufzutreten Unterstützung unseres Sales Teams bei der Kundenakquise durch überzeugende Präsentationen (Pitches) technischer Lösungen Skizzieren von Architekturbildern für Generative KI-Lösungen Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem naturwissenschaftlichen Studiengang Fließende Kommunikationsfähigkeit auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Erfahrung in der Entwicklung von Generative AI-Modellen und deren Anwendung in realen Projekten Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien Sehr gute Kenntnisse im Coding und Software Development (Python, object oriented), mit Cloud Technologien (Azure, AWS), in OpenAI API/ Aleph Alpha API und HuggingFace Idealerweise Erfahrungen im probabilistic modeling, text processing & NLP, transformer, conversational AI, stable diffusion, hardware accelerators, physical computing, operation of local (open source) foundation models & finetuning Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Eugenia Riger, Senior People Operations Manager Find more English Speaking Jobs in Germany on Arbeitnow

⚡ STAGIAIRE AI ENGINEER — DISRUPTION & IA ALTERNATIVES (F/H) Decathlon Digital — Pôle People Data & AI L'essentiel 🎓 Contrat : stage de fin d'études (six mois) 📅 Démarrage : premier trimestre 2027 📍 Lieu : Paris 🎯 Niveau : Bac+5 Le contexte Envie de bousculer le statu quo et de réinventer le quotidien technologique de 100 000 collaborateurs ? Au sein de Decathlon Digital, nous recherchons un profil audacieux pour concevoir, prototyper et tester des alternatives radicales fondées sur l'IA générative et agentique. Ici, zéro maintenance : ton rôle consiste à challenger l'existant. Ce qui rend le projet unique 🚀 Terrain d'expérimentation réel : tu audites les systèmes internes pour concevoir des solutions de rupture (agents autonomes, architectures RAG avancées, automatisation de pointe). 🛠️ Stack technique moderne : GCP, Vertex AI, modèles de fondation récents et ressources dédiées pour tester tes prototypes à l'échelle. Missions principales 🔍 Audit & Discovery : repérer les zones de friction dans nos outils et identifier les cas d'usage où l'IA surpasse les solutions en place. 🤖 Prototypage & R&D : coder et éprouver des architectures agentiques et des pipelines RAG avancés. 📊 Évaluation & LLMOps : mesurer la performance de tes modèles selon des critères précis (latence, précision, coût, valeur métier). 🔗 Protocoles d'interaction : tester l'intégration de standards récents (MCP, échanges Agent-to-Agent) avec notre écosystème Data et SIRH. 🎙️ Restitution & impact : présenter tes démonstrations aux équipes produit et tech pour orienter les architectures de demain. Profil recherché 🎓 Formation : étudiant(e) en dernière année de cursus Bac+5 (école d'ingénieurs ou master en IA, Data Science ou Informatique). 💻 Technique : maîtrise de Python, aisance sur le cloud (GCP, Vertex AI) et culture solide en IA générative (LLM, embeddings, RAG, agents). 💡 Savoir-être : profil « builder », esprit critique, curiosité technique et clarté à l'oral. 💬 Langues : français courant et anglais professionnel (échanges quotidiens à l'international). Processus de recrutement ⏱️ Étude du profil avec retour sous deux semaines. Premier échange de cadrage RH et culture. Entretien technique approfondi avec ton futur encadrant et un membre de l'équipe. DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find Jobs in France on Arbeitnow

We're Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world's capacity for care and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. We've grown annual recurring revenue from $1 million to $50 million in two years. To go further, we've secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst's Customer Value Fund. If you want to join us in doing work worth shipping, jump in. The role We're looking for a doctor who has moved into AI and can code, to join Clinical AI R&D as a Clinical AI Engineer. You'll sit inside a product pod and own the evidence for its product: define the evaluation before anyone builds, run it to a standard a journal reviewer would accept, keep watching the product once it ships, publish what the evidence shows, and change the product when the evidence says to. The pod's engineers can change the product but can't judge whether a discharge summary missed something a consultant would catch. Clinicians can make that call but can't open a pull request. You do both, and you treat the gap between a model's output and good clinical practice as the thing you're here to measure and close. The loop doesn't end at launch. You stay with the product for its life in market. What you'll do Design the evaluation. Define evaluations for greenfield products to an academic standard: endpoints, comparators, ground truth, sample size, analysis plan. Set the bar before the result arrives. Build the measurement. Build, optimize and validate the LLM judges and rubrics that score the product at scale. Report their agreement with clinician ground truth, not their convenience, and retire the ones that drift. Run it and write it up. Execute the evaluation, do the statistics, and write it up once in a form that serves the pod, the regulatory file and an academic submission. Run post-market surveillance. Monitor output quality in production and respond to regulatory feedback with data. Our clinical safety team triages complaints and incidents; you're their counterpart in the pod, working out what their findings mean for the product and what should change. Fix what the evidence finds. Prompt and rubric changes, evaluation harness changes, code changes in the pod's codebase, shipped through the pod's normal review and release process. Publish. Contribute to peer-reviewed literature on the translational benefit of the product. Be the clinician in the room. Catch the output that reads well and is wrong. Hold the line on clinical nuance when a shortcut would ship faster. What you'll need A medical degree and clinical practice with independent clinical judgment. This role runs on medical nuance, and this requirement doesn't flex. Academic depth. Study design, inferential statistics, agreement and reliability measures, sample size, handling of multiple comparisons. Thesis or publication-level work, not a methods module. Experience evaluating medical software or clinical AI, including building or validating LLM-as-judge pipelines. Enough engineering to work in a production codebase. Read it, understand what a change will do, make the change in Python or TypeScript, and get it through review. Prompt engineering and AI-assisted coding are daily tools here, and they're the floor, not the ceiling. Independence. You can run a project for weeks with light direction, and you say early when it's stuck. Clear writing. Evaluation reports, surveillance summaries and manuscripts are the primary output of this role. Nice to have Post-market surveillance or vigilance work under a medical device framework (TGA, MHRA, FDA or EU MDR). Appetite to learn counts for more than existing depth. Peer-reviewed publications on clinical AI or LLM evaluation. Machine learning background beyond prompting, such as fine-tuning or classical model evaluation. Specialty depth in an area Heidi is moving into. An academic or clinical-site network able to host a study. How we show up Build for the next decade, not next quarter . Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism. Lead, don't wait . We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that. Follow the evidence . Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford. Own the outcome . Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander. Ship, measure, go again . A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless. Live in clinicians' reality . Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. Why Heidi? You'll join a team measured on real-world impact, not press cycles. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we'd like to see. We're medicos, engineers, builders and designers who've felt (on every side of the equation) what non-care feels like, the moral and practical toll as a provider or receiver. Building what we're building isn't always easy. Standard tech playbooks routinely fail in healthcare, and the friction of the medical system will test your perseverance. But we didn't choose easy, we chose a purpose-driven mission that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognize that the deeper question isn't whether AI can solve the global healthcare crisis, but whose hands will shape it. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. Our Benefits Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create. Your health, covered. Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching and wellbeing support through Sonder and a £100/month Healthy Heidi's stipend. Global parental leave . 26 weeks paid for primary carers and 18 weeks for secondary carers, subject to eligibility. Fertility support . £7,000 one-off payment, eligibility applies. Learning & development. £700 per year for courses, books, memberships, conferences and more. Home office budget of £500 one-off to set up a workspace you actually want to work in. Recharge days after major milestones and busy periods so you can reset and come back strong. Work from anywhere for up to 4 weeks per year, wherever the world takes you. Clinical leave . 10 days per year for eligible clinical roles to maintain accreditation and requirements. Flexibility that works. A hybrid environment, with 3 days in the office. Heidi's commitment to Diversity, Equity and Inclusion Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all. Find Jobs in United Kingdom on Arbeitnow

At Catawiki, every day brings the extraordinary! Whether it's Daniel Ricciardo's Formula 1 Car , a Woolly Mammoth's Skeleton , Lady Gaga's Jumpsuit or Usain Bolt's running shoe , we encounter exceptional objects every day. We're a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world's most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we'd love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your mission Every Product Manager at Catawiki owns a meaningful part of the customer experience. In Search and Ranking, your mission is to help buyers find the special objects they care about. You will shape how search, ranking and personalisation work across the buyer journey, making discovery more relevant and helping more buyers find objects they love. This is a broad product area. It brings together buyer needs, expert curation, marketplace priorities, search experiences and machine learning. You will identify the most important opportunities, set a clear direction and lead a cross functional team from insight to measurable customer and business impact. The solution is not prescribed. You may improve search relevance, ranking, recommendations or personalisation, or explore new AI enabled ways to help buyers discover objects. What matters is that you solve a meaningful customer problem, measure the impact and scale what works. You will own the strategy, outcomes and execution for this area, working closely with Engineering, Design, Data Science, Marketing and Commercial teams. What you will do Set and communicate a clear product vision, strategy and roadmap for Search and Ranking. Own measurable outcomes across search relevance, discovery, engagement and buyer conversion. Use behavioural data, customer research and commercial insight to identify and prioritise the biggest opportunities. Turn ambiguous customer and business problems into clear hypotheses, prototypes and executable plans. Lead initiatives from early discovery through experimentation, launch and scaling. Define success metrics and build a rigorous experimentation agenda for search, ranking and personalisation. Work with machine learning engineers and data scientists to assess model quality, test new approaches and improve customer outcomes. Improve the relevance of search results and recommendations across the buyer journey. Integrate personalisation into the customer experience in ways that feel useful, coherent and trustworthy. Design, run and evaluate experiments, using positive, negative and inconclusive results to guide decisions. Use AI and rapid prototyping to test ideas early, reduce development risk and accelerate learning. Create clarity, momentum and accountability across teams, including when priorities or incentives differ. Communicate strategy, performance, tradeoffs and recommendations clearly to senior and C level stakeholders. Who you are Three qualities matter most in this role. Outcome ownership You take responsibility for customer and business results, not only for delivering features. You stay with the problem, remove obstacles and change direction when the evidence calls for it. Systems thinking You understand how search, ranking, recommendations, auction dynamics, expert curation and marketplace health influence one another. You make thoughtful decisions across the full buyer journey. Experimental rigour You use data, research, prototypes and controlled experiments to make decisions. You learn from negative results and can distinguish meaningful progress from activity. You will also bring: At least five years of product management experience, preferably in consumer ecommerce, marketplaces or another digital product at scale. Experience owning a broad product area or customer journey, rather than only individual features. Experience defining product strategy or roadmaps for search, ranking, recommendations, personalisation or other machine learning products. Confidence working with product metrics, experiments and commercial performance. Experience designing, running and analysing A/B tests, including tests involving machine learning products. The ability to turn uncertain opportunities into clear hypotheses, prototypes and plans. A practical understanding of machine learning concepts and how models become useful product experiences. Experience working closely with machine learning engineers and data scientists to develop and improve customer facing features. Comfort using AI tools to prototype quickly and explore customer experiences. The ability to balance immediate commercial opportunities with longer term product and platform investments. Clear communication skills and the ability to influence senior leaders without relying on formal authority. The pace, resilience and judgement to maintain a high standard of execution in an ambiguous environment. Where you will be This role is based in Amsterdam. We offer a relocation package for people currently living outside the Netherlands. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We're a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life's moments with us. You'll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to "Pursue Your Passion " . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki's Applicant Privacy Policy. If you're excited about this role but don't meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team Find Jobs in Netherlands on Arbeitnow

Type: Full-time, salaried employment Location: Remote in the UK only. Salary Range: £121,000 - £137,000 dependant on experience + stock options Focal Systems is the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world. We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world! About the Role As Director of Analytics, you will own the full path from raw data to decision: the data warehouse, the transformation layer, and the BI tooling analysts and the business actually touch. You will set the technical direction for the analytics stack, lead a small team of analysts and analytics engineers, and be the person executive stakeholders come to for a straight answer backed by solid numbers. This is a hands-on leadership role. You will manage the team, but you are also expected to review models, dig into the warehouse yourself, and make the tooling calls, not just delegate them. What We Are Looking For You are a rigorous thinker who treats data as evidence, not decoration, and holds your team to that same standard You have strong technical chops in SQL and the modern data stack (warehouse, transformation layer, BI layer), and you can go deep on any of them You have led or grown a team of analysts or analytics engineers, and you know how to hire, mentor, and set a bar You are comfortable owning ambiguous, open-ended problems, from "what should we even be measuring" through to a shipped dashboard You communicate findings crisply to technical and non-technical audiences, including at the executive level You have opinions on BI tooling grounded in experience, not just familiarity, and can make a real build-vs-buy or migrate-vs-stay case What You Will Be Doing Own the analytics architecture end to end , from the Snowflake warehouse and dbt transformation layer through to the BI/reporting layer used across the business Set and evolve BI tooling strategy , including evaluating whether our current tool, Sigma, remains the right fit versus alternatives like Looker, Tableau, Power BI, Hex, or Mode as the team and data volume grow Lead, hire, and develop a team of analysts and analytics engineers Partner with Product, Customer Success, and Engineering to define key metrics, build self-serve reporting, and translate business questions into well-scoped analytical work Establish data modeling standards, testing, and governance across dbt models so the numbers hold up under scrutiny Own data security and access controls across the warehouse and BI layer, ensuring sensitive retail, store, and operational data is properly governed, access is scoped by role, and we meet our customers' data handling requirements Build and own executive-facing reporting on core business metrics such as product availability, store performance, and inventory accuracy Requirements 8+ years of experience in analytics, with at least 3 years directly managing or leading a team Deep hands-on SQL, including complex CTEs, window functions, and query optimization Real experience running a cloud data warehouse, Snowflake strongly preferred Hands-on experience with dbt or a comparable transformation layer Track record evaluating, migrating, or scaling BI tools, with the ability to speak concretely to tradeoffs between tools like Sigma, Looker, Tableau, and Power BI Experience translating messy operational data into decisions executives act on Excellent written and verbal communication, with the ability to influence cross-functional partners without authority Comfortable operating remote-first, across a distributed team Nice to Have Experience with IoT, sensor, or computer-vision-derived data (high-volume, noisy, real-time) Python for analytics engineering or pipeline work Experience scaling an analytics function inside a growth-stage startup Background in retail, grocery, logistics, or other operationally complex environments Experience mentoring managers, not just individual contributors Why Focal Systems Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception. Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art. Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors. What we offer We care deeply about the health, happiness, and wellbeing of all of our employees. We offer: Competitive Salary & Attractive Stock Generous Paid Time Off Pension Sick Leave Parental Leave Learning and Development Budget Find Jobs in United Kingdom on Arbeitnow

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview EIT is a centralized group within Global Risk Management responsible for independent testing of operational processes within the eight lines of business and enterprise control functions at Bank of America to ensure the company is in compliance with domestic and international laws, rules and regulations, and that risk and controls procedures are operating effectively. Job Description The Sampling and Test Development Specialist II, with minimal supervision, works in collaboration with the Test Owners, Front Line Units, other Sampling and Test Development resources along with the Test Execution Teams to design and assess the quality of both manual and automated tests, validate data sourcing, conduct required sampling governance or distribute samples for testing, and design or revise sampling procedure documentation, with expert level efficiency and quality. This includes driving test structure to support automation. They will make required changes to new and existing test scripts and test plan documentation, as well as sample and data requirements and maintain integrity within the system of record. The Sampling and Test Development Specialist II will independently gather test scripting and data requirements and work with data partners to ensure appropriate test design and sampling requirements are incorporated in to the Test Plans Evaluates if pilot testing is required and participate in testing as needed and participates in other phases of testing (intake, execution, reporting) to provide expertise and feedback on areas assigned. Maintains SOR (System of Record) tracking of test status per standards. Provides peer coaching and direction where needed. Responsibilities This role is responsible for accessing pertinent databases or acquiring raw data from third party sources along with all associated documentation and for documenting business procedures within testing scripts. The Sampling and Test Development Specialist II often acts independently to uncover and resolve issues associated with procurement of data to be used for testing and the structure and design of complex tests. This role will deliver high-quality results and manage, manipulate and summarize large quantities of data. The Sampling and Test Development Specialist II must participate in and occasionally lead additional projects across Sampling and Test Development including escalation of areas requiring process refinement and revision and taking leadership role to affect changes when needed. Requirements Education Graduates or Post-Graduates in Computer Science, Software Engineering, Statistics. Tech/B.E./B.Sc.(Statistics)/B.C.A./M.C.A/M.Sc.(Statistics) Experience Range 6 + years Foundational skills Demonstrated project management skills; Ability to handle multiple competing priorities with demonstrated success at achieving SLA (Service Level Agreements) Strong partnership and influencing skills. Excellent verbal and written communication skills as well as interpersonal skills Self-starter, organized, versatile, capable of performing work independently with minimal direction. Ability to think independently, solve complex problems, and develop integrated solutions. Ability to translate business objectives to comprehensive test requirements. Demonstrated ability to interface effectively with Senior management. Strong team player. Desired skills Audit / Testing / QA experience Compliance or Risk certification a plus Diverse experience across multiple lines of business and functions Strong familiarity with sampling business requirements and test design Advanced understanding of automation tools and ability to influence test owners to define ways to structure tests in an automated fashion. Advanced knowledge of data warehouse and mining concepts and baseline understanding of SAS/SQL query language and syntax Experience building queries to source data from a variety of different types of data sources such as DB2, Teradata, Oracle, SQL Server, Hadoop, Hive, Python Proficiency with MS Office suite with an emphasis on Excel to perform data analytics, pivot tables, lookups and data analytics Proven ability to leverage automation efficiencies, tools, and capabilities where possible. Experience building data acquisition routines in a tool such as Trifacta, Alteryx, MicroStrategy, Tableau, Cognos, Python (or other similar business intelligence applications) Strong research, analytical, problem-solving, and technical skills Include systems knowledge, certifications, etc. Extensive functional or professional knowledge Business Writing and Acumen Acts with Courage and Conviction Strong Business Acumen Drives Operational Excellence Critical Thinking and Analysis Attention to Detail Knowledge of sampling methodologies Strong Partnership and Influencing Skills Collaboration Time Management Adaptability Issue Management Quality Assurance Work Timings 12:30 to 9:30 PM Job Location* Chennai

About us Zenjob is an AI-powered flexible staffing platform that has efficiently connected companies and temporary workers since 2015. Companies use our platform to book ready-to-work staff in real time, while students use our app to find part-time jobs that conveniently fit around their studies. Over 40,000 students and 1,000 partner companies from logistics, retail, and hospitality in all major German cities share our belief that good work is not a coincidence. It is the result of innovative technology and genuine commitment. Good work starts here. About the Role We are building a data-driven culture, and we are looking for a Senior Data Analyst who can help us get there faster. In this role, you will translate business goals into measurable outcomes, and bring clarity and consistency to how we define success. This is the right opportunity if you enjoy having a seat at the table, influencing business and product decisions, and elevating the role of data across the organization. What You Will Be Doing Drive Business and Product Insights and Decisions Work hand-in-hand with business and operation teams to define clear success, health, and diagnostic metrics Turn complex data into insights that designs roadmap and prioritization Balance speed and rigor to guide decisions when data is imperfect or incomplete Conduct exploratory data analysis to uncover patterns, trends, and actionable opportunities. Own Metric Governance and Alignment Drive consistent metric definitions and OKR alignment across teams. Help teams agree on what good looks like and prevent shifting targets Maintain clarity and a single source of truth in dashboards and reporting. Improve Data Foundations for Analytics Identify required data and work with Data Platform and Engineering to make it accessible Prepare and model data to support reliable analysis and self-service usage Communicate and Enable Build dashboards and visualizations that clarify trends and decisions Communicate findings clearly to a wide range of audiences Guide stakeholders to become more self-sufficient with data Create a coercive ecosystem for data driven decision making by being the central point of enablement What You Will Bring 5+ years of experience in product or business analytics with demonstrated business impact Strong SQL skills and ability to use python for predictive modelling Strength in prioritization and stakeholder alignment in fast-moving settings Able to work comfortably with evolving or imperfect data Clear storytelling and strong communication skills Experience with BI tools such as Tableau or Metabase Bonus Skills Hands-on experience designing and interpreting A/B tests in real product environments is a nice to have Experience with dbt or analytics engineering practices Familiarity with experimentation platforms (e.g. Optimizely, AB Smartly) Experience with product analytics tools (e.g. Indicative, Amplitude) Marketplace or supply-demand analytics experience What we offer Innovative mission: Together we create something new. Work in a dynamic set-up where you learn a lot and your every idea is heard. Unique team spirit : We can rely on each other blindly and celebrate all successes together as a team. Vacation : Recreation and further education is important, which is why we offer 28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days), 1 day of special leave for community service, 5 days of paid educational leave, and the possibility of unpaid leave Hybrid working model : We love our brand new office in Prenzlauer Berg. But sometimes you need a little more flexibility. Zenjob's flexible working model combines the best of both worlds, so you can work remotely up to 2 days / week (1 day, during the first 6 months, so we can guarantee you the best onboarding). Dog-lover : If you have a dog, feel free to bring it with you. We don't bite and always have a bowl of water in our range of drinks Personal growth : Ongoing focus on your personal development (annual training budget of EUR 750, mentoring opportunities, constant career development conversations) Healthy mind in a healthy body: With us you will receive a 30 EUR Urban Sports Club grant to keep you fit. In addition, we have a small sports room in the office ourselves. Always mobile: You will receive EUR 40 credit per month for NAVIT, a sustainable mobility tool for public transport, bike sharing and much more. Legendary Events: Quarterly team events, winter and summer parties, budget for birthdays and anniversaries of our employees If this sounds good, then we'd love to find out more about you! Apply and send in your application. 🎥 Watch our Office Tour video . We invite you to visit our careers page , follow our LinkedIn page and connect with us on Instagram . We are proud to be an equal opportunity employer. We are committed to judging every qualified individual on their ability, regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. There is no need to add your photo and age to the application. Find more English Speaking Jobs in Germany on Arbeitnow

For a renowned Swiss bank in Zurich, we are looking for an experienced business analyst. You analyse processes, data flows and systems in customer and contract management or in real estate management, and derive target pictures and decision bases from them. Your tasks Analyse and document processes, data flows, systems and responsibilities end to end Create the as-is analysis, derive the target picture and to-be processes, define data ownership Assess optimisation potential in data storage and the system landscape Create business cases, effort estimates and risk analyses Moderate workshops and present results at management level Your profile German at C2 level, the project language is German. Understanding of Swiss German is expected Several years as a business analyst or data analyst in banking or comparable industries Process and data analysis with BPMN, UML and visualisation tools Understanding of IT architecture, system landscapes, interfaces and data flows Confident use of Excel, PowerPoint, Jira and Confluence Nice to have Customer and contract management, Siebel CRM Practical experience with AI tools in business analysis Power BI or Tableau, basic knowledge of CAFM and ERP Find Jobs in Switzerland on Arbeitnow

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. Kraken Customer What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry. Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now. 🏠 Where you'll fit in: We're looking for a brilliant senior Data & Analytics Client Delivery Lead to help clients fully leverage Kraken data and transform their data team and capabilities. You should bring extensive experience doing analytics on a strong, modern data team (e.g., data analytics, business intelligence, or related field -- analytics manager, lead data analyst, analytics or data consultant or similar); a love of working with clients; and a passion for driving the clean energy transition – energy sector experience is a plus! The role You'll work directly with Kraken clients to help them develop modern, transformative data and analytics capabilities as part of their broader Kraken transformation. You'll train them on Kraken data and support them in building critical reporting & insightful analytics, sometimes getting hands-on with query writing or demo analytics. You'll also leverage your experience leading strong analytics teams to advise senior client data leadership on how to build a high-performing, business-centric data organization and leverage data as a strategic asset to unlock ambitious business and clean energy goals. We are a flat and agile organisation and plan to remain this way. We are looking for a hands-on Data & Analytics Client Delivery Lead that can support both directly and indirectly - sometimes jumping in and writing queries or solving data challenges and other times advising or upskilling both clients and colleagues. You will play a critical role in ensuring the clients' reporting and analytics transition to Kraken goes smoothly - and ensuring that clients build the transformative data capabilities needed to get full value from Kraken data and power aspirational business goals. 🚀 What you'll own: Guide clients in redefining critical reporting and analytics to use new Kraken data and concepts, through hands-on query writing, working sessions, and trainings Advise clients, including senior leadership, on topics like how to develop a high-performing data organization, how to build a modern tech stack, and how to pursue a data strategy and priorities that drive their core business objectives. Strategically define and prioritize client data needs to influence the data product roadmap, ensuring product understands the core, shared client needs and that solutions achieve clients' desired business outcomes Partner with engineering to deliver new data features and requirements aligned to client use cases Train Kraken's broader client delivery team on how to help their respective business domains ask effective data questions and leverage data directly to drive business impact 🧠 What you'll bring to the party: Degree qualified equivalent, with strong client delivery and/or product ownership experience Several years of experience as a data analytics, business intelligence, or related field -- analytics manager, lead data analyst, analytics or data consultant or similar Strong familiarity with modern data practices and tools Strong facility with SQL and modern BI toolsFamiliar with agile product development practices and experience collaborating with engineering Excellent communications, collaboration and presentation skills Strong influencing skills and ability to challenge traditional ways of thinking Patience – our clients are undergoing huge transformations that take time and require our understanding Experience in the energy sector a plus Kraken is a certified Great Place to Work in France, Germany, Spain, Japan, Australia, and USA. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5. Check out our Welcome to the Jungle site ( FR / EN ) to learn more about our teams and culture. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at ----- and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application. Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at ----- We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application. Find Jobs in France on Arbeitnow

Ben jij klaar om met data en AI écht impact te maken? Bij Univé krijg je niet alleen de ruimte om te experimenteren, maar ook de verantwoordelijkheid om jouw ideeën uit te bouwen tot slimme oplossingen die door de hele organisatie worden gebruikt. Wil jij vooroplopen, vernieuwen én met jouw werk miljoenen Univé-leden raken? Dan is dit jouw volgende stap. Wie ben jij Jij bent een Data Scientist die verder kijkt dan de techniek. Je doorgrondt complexe vraagstukken snel, overziet het grotere geheel en bepaalt zelfstandig welke aanpak nodig is om van data tot een betrouwbare en bruikbare oplossing te komen. Je maakt inhoudelijke keuzes, kunt deze goed onderbouwen en neemt collega's en stakeholders daarin mee. Binnen het team vervul je een stevige inhoudelijke rol. Je bent een sparringpartner voor andere data scientists, data engineers, data-analisten en de business. Je durft bestaande werkwijzen kritisch te bekijken, deelt actief je kennis en helpt collega's verder in hun ontwikkeling. Je werkt zorgvuldig en integer en voelt je verantwoordelijk voor wat je ontwikkelt. Voor jou is een oplossing pas geslaagd wanneer deze niet alleen technisch goed werkt, maar ook verantwoord kan worden ingezet, beheersbaar is en aantoonbare waarde oplevert. Je bent communicatief sterk en kunt complexe analyses en AI-oplossingen helder uitleggen aan collega's met verschillende achtergronden. Wat neem je mee? wo-werk- en denkniveau, bij voorkeur met een opleiding in Data Science, Artificial Intelligence, Business Analytics, econometrie, wiskunde, statistiek of een vergelijkbare richting; meerdere jaren relevante ervaring als Data Scientist; ervaring met het zelfstandig uitvoeren van complexe data-sciencevraagstukken en het onderbouwen van inhoudelijke keuzes; sterke programmeervaardigheden in Python; ervaring met Git, cloudomgevingen en een professionele ontwikkelwerkwijze; kennis van machinelearningtechnieken en algoritmen zoals Random Forest, Gradient Boosting, deep learning en large language models; ervaring met het vertalen van modellen en analyses naar concrete toepassingen, adviezen en verbeteringen voor de organisatie; ervaring met moderne AI-ontwikkeltools, zoals Codex of Claude Code, of de nieuwsgierigheid om deze snel eigen te maken; een analytische, innovatieve en samenwerkingsgerichte instelling; uitstekende beheersing van de Nederlandse taal, zowel mondeling als schriftelijk. Wat ga je doen Als Data Scientist binnen het Data & AI Office werk je aan complexe en uiteenlopende vraagstukken voor heel Univé. Je ontwikkelt voorspellende modellen, voert diepgaande analyses uit en bouwt AI-oplossingen die daadwerkelijk in de praktijk worden gebruikt. Denk aan toepassingen rondom klantbediening, schade, risicosignalering, procesoptimalisatie en slimme ondersteuning van medewerkers. Je kijkt daarbij verder dan het bouwen van een technisch goed model. Je onderzoekt wat de organisatie echt nodig heeft, kiest een passende aanpak en brengt een oplossing van experiment naar productie. Je zorgt dat modellen betrouwbaar, uitlegbaar en beheersbaar zijn en maakt de resultaten begrijpelijk voor collega's en stakeholders. Je werkt intensief samen met andere data scientists, data engineers, data-analisten, business informatie analisten en collega's uit de verschillende bedrijfsonderdelen en waardestromen. Binnen het Data & AI Office werken we AI-first. Dat betekent dat we moderne AI-hulpmiddelen inzetten om slimmer en sneller te ontwikkelen, testen en documenteren. Tegelijkertijd blijven kwaliteit, veiligheid en menselijke controle altijd leidend. Concreet houd je je bezig met: ontwikkelen, testen en verbeteren van AI- en machinelearningoplossingen; vertalen van klant-, polis-, schade- en procesdata naar inzichten, voorspellingen en concrete toepassingen; experimenteren met onder andere machine learning, deep learning, large language models en generatieve AI; ontwikkelen van oplossingen in Python en werken met data vanuit Snowflake; toepassen van moderne AI-ontwikkeltools, zoals Codex of Claude Code; bewaken van modelkwaliteit, uitlegbaarheid, privacy, veiligheid en beheerbaarheid; samenwerken met de business om oplossingen bruikbaar te maken en daadwerkelijk te laten landen; bijdragen aan een professionele ontwikkelwerkwijze met Git, geautomatiseerd testen en CI/CD; delen van kennis en inhoudelijk versterken van collega's en het vakgebied binnen Univé. Je standplaats is Zwolle, maar we werken ook een dag in Assen. We werken hybride, waarbij je gemiddeld de helft van de tijd op kantoor werkt. Wat bieden wij Binnen het Data & AI Office krijg je de ruimte om jouw expertise in data science en AI te combineren met zichtbare impact voor heel Univé. Je werkt aan relevante vraagstukken met moderne technologie en krijgt de vrijheid om nieuwe ideeën te onderzoeken, te ontwikkelen en daadwerkelijk in de praktijk te brengen. Salaris en arbeidsvoorwaarden: deze functie is ingedeeld in schaal 10. Het jaarsalaris ligt tussen € 65.807 en € 94.551 op basis van een 38-urige werkweek, inclusief vakantiegeld en dertiende maand en exclusief variabele beloning; Uitdagende projecten: je werkt aan organisatiebrede vraagstukken op het snijvlak van data, AI, technologie en business; Innovatie en autonomie: je krijgt ruimte om nieuwe technieken te onderzoeken en eigen ideeën te ontwikkelen, testen en verbeteren; Professionele werkomgeving: je werkt met onder andere Python, Azure, Github en Snowflake en krijgt de ruimte om nieuwe technieken en AI-ontwikkeltools toe te passen in je dagelijkse werk. Ontwikkeling: we investeren in jouw persoonlijke en professionele groei met opleidingen, kennisdeling en ruimte om je verder te specialiseren; Hybride werken: je werkt gemiddeld 50% op kantoor en 50% vanuit huis, inclusief ondersteuning voor je thuiswerkplek; Extra voorwaarden: een variabele Collectieve Prestatie Beloning van maximaal 9%, een arbeidsvoorwaardenkeuzesysteem, 200 vakantie-uren bij een 38-urige werkweek, een goede pensioenvoorziening en een thuiswerk- en reiskostenvergoeding; Extra voordelen: korting op je schade- en zorgverzekeringen bij Univé. Wie wij zijn Binnen het Data & AI Office werken we aan de data- en AI-ambitie van heel Univé. We ontwikkelen het centrale datafundament, bouwen betrouwbare dataproducten en zetten data en AI in om besluitvorming, processen en klantbediening te verbeteren. Je komt terecht in een omgeving met data scientists, data engineers, data-analisten, business informatie analisten en andere dataspecialisten. Samen met collega's uit de waardestromen en bedrijfsonderdelen brengen we kennis van data, technologie en de business bij elkaar. We geloven in eigenaarschap, vakmanschap en samenwerking. We experimenteren graag, maar zorgen er ook voor dat succesvolle oplossingen veilig, betrouwbaar en beheersbaar in productie worden genomen. Zo maken we data en AI praktisch toepasbaar voor onze medewerkers en betekenisvol voor onze leden. Overige informatie Enthousiast? Solliciteer dan via de sollicitatiebutton. Wil je eerst meer weten over de functie of de sollicitatieprocedure? Neem dan contact op met recruitment via Een screening maakt onderdeel uit van de sollicitatieprocedure. Een assessment kan onderdeel zijn van de procedure. Omdat we graag rechtstreeks in contact komen met onze toekomstige collega's, houden we de werving en selectie in eigen hand. Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld. Find Jobs in Netherlands on Arbeitnow