Key Skills

Job Description

This Is What You Will Do At Odido, we’re on a mission to become the Customer Champion of the Netherlands. That means delivering smart, human-centered digital experiences powered by data. As Data Scientist, you help bring this mission to life, by building intelligent solutions that directly improve customer journeys, operational efficiency, and commercial performance. You’ll work on generative AI use cases (like chatbots and voicebots using LLMs) and predictive modeling (for marketing and churn prevention). You’ll translate business needs into data-driven actions that impact millions of users, all while helping Odido become a truly AI-first telecom provider. You’ll operate within a multidisciplinary environment, creating proof of concepts, scaling solutions into production together with data engineers, and translating complex insights into understandable language. From Natural Language Processing to deep customer analytics, you’ll help turn AI into impact. Please Note For candidates requiring a Highly Skilled Migrant (HSM) visa, Dutch immigration law sets a minimum gross monthly salary that depends on age. For those aged 30 and above, this legal threshold currently exceeds the upper end of our medior salary scale. As a result, we may unfortunately not be able to offer a compliant HSM visa sponsorship for candidates in this category. We encourage you to consider this before applying and are happy to discuss other opportunities that may be a better fit, at another stage. The Role You will join a growing, international team of data scientists and engineers within the Digital IT separtment. The Data Science team works across all business domains: Customer Operations, Mass Market, Enterprise, Finance, and Network. You’ll have the freedom to shape your projects, the trust to deploy to production, and the satisfaction of seeing your work deliver value in real-time. Whether you're optimizing chatbot efficiency or refining a churn model, your work will reach thousands, even millions of users. Your Responsibilities Build and improve generative AI solutions (LLMs, chatbots, voicebots, agentic workflows) for internal and external users Design predictive models that inform commercial campaigns and reduce customer churn Translate business needs into machine learning use cases and deliver production-ready solutions Work in sprints with cross-functional teams (product owners, engineers, business analysts) Present insights and results to both technical and non-technical stakeholders Champion clean code practices, model monitoring, and continuous improvement Drive automation and containerization (e.g., using Docker) to enable scalable deployment Stay ahead of AI trends and bring new ideas into the team At Odido, we believe in people, not Mass-apply bots. We personally review every application, no keyword filters or automated AI decisions. That’s why we ask you to briefly share why this specific role at Odido fits your experience and ambition. If it’s a match, we’ll notice. We do not hire your AI (yet)…;-) Together we are We want to become the most human-centred telecom provider in the Netherlands. That might sound odd from an IT or network role, but that's exactly where it starts. Because without stable systems, a reliable network and smart technology there's no conversation, no connection, no trust. You make sure everything runs, even when nobody notices. And that's precisely the point. Even if the customer doesn't see you, your impact is felt in every conversation, every connection and every moment it just works. Because when the technology is solid, people can work, customers can be helped, and trust is built. This Is What We Stand For At Odido we're there for each other. We see each other's talents. We listen and always look at what's possible, technically, personally and in the way we work together. Because you're at your best when you can grow, Odido gives you all the space you need for that. Together we look at where your ambition and talent lie and make sure you get the opportunities to grow in your own way, whether that's deeper technical specialisation, a broader architect role, or a step towards tech leadership. What We Offer At Odido, you build and manage critical infrastructure at a national scale; ensuring reliability, performance, and security for millions of customers. You work on technology that truly matters, with a direct impact on how our network and IT services perform every day. In return, we offer a competitive salary and a well-balanced total rewards package, including: A role-based bonus aligned with your performance; 30 days of annual leave (full-time), plus an extra day off after Ascension Day; Hybrid working model: 3 days in the office and 2 days from home; A €350 voucher to choose your own mobile phone; yours to keep; A personal learning budget and access to more than 200 training courses; A solid pension plan through Zwitserleven; Discounts on your Odido Internet & TV or Klik & Klaar subscription; A bike lease scheme for sustainable commuting; Employer contribution to your gym membership; Access to a wide range of discounts on products and services. We work together to deliver stable, scalable, and future-proof technology; and we celebrate the impact we make. In short: you build what keeps us running, your work is visible, and you’re supported to keep growing. You bring this Some things you cannot learn at university, but you possess them by nature. Your core personality is empathic, structured, curious, technically driven, and proactive. You embrace challenges and are eager to grow. You enjoy solving complex puzzles, collaborating with stakeholders, and building systems that make a difference. These are traits we’re looking for at every level within Odido. In your short motivation letter, we’d love to hear why this role speaks to you. Tell us about your skills, education, and passion for data science and AI. We read every application, personally. Must-Have Skills & Qualifications Education & experience Master’s (WO) degree in AI, Machine Learning, Data Science, or related field 2-4 years of relevant working experience Generative AI foundations Hands-on experience with building GenAI products using Python and GitHub Familiarity with LLMs is a must Strong coding & architecture Solid Python skills and ability to write clean, production-grade code Experience with Docker for containerization AI frameworks & tooling Familiarity with Langchain, LlamaIndex, Agentic AI, and vector databases Model deployment Experience deploying models on AWS and/or on-prem environments Predictive modeling Strong understanding of predictive modeling using Python and SQL Familiarity with libraries such as TensorFlow, Keras, XGBoost, scikit-learn Language & location English fluency is a must; Dutch is preferred Candidates must currently reside in the Netherlands Nice-to-Haves Telecom industry knowledge or affinity for telecom-related processes Experience collaborating with Customer Operations or Marketing Familiarity with reinforcement learning, gradient boosting, or neural networks Experience presenting complex data findings to non-technical audiences When do you fit (and when do you not)? Even though we have many different colleagues, we look for a few typical Odido traits in every new team member. You need to be able to handle a changing organisation. The world of communications changes every day, and we need to grow along with it. Being naturally curious and interested in the technology we work with and the industry we're in helps enormously.

Core Responsibilities

Build and improve generative AI solutions, including LLM-powered chatbots, voicebots, and agentic workflows, as well as predictive models for marketing and churn prevention. Translate business needs into production-ready machine learning solutions, collaborate with cross-functional teams, communicate insights to stakeholders, and support scalable deployment and ongoing model improvement.

Requirements

Requires a master's degree in AI, machine learning, data science, or a related field, plus 2–4 years of relevant experience. Candidates need strong Python and SQL skills, hands-on experience building generative AI products, familiarity with LLMs and AI frameworks, Docker experience, and model deployment experience on AWS or on-premises; English fluency and current residence in the Netherlands are required.

Benefits

• Performance-Based Bonus
• 30 Days Of Annual Leave
• Hybrid Working
• Mobile Phone Voucher
• Personal Learning Budget
• Training Courses
• Pension Plan
• Subscription Discounts
• Bike Lease Scheme
• Gym Membership Contribution
• Product And Service Discounts