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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** T-shop - **Location:** Netherlands (Remote available) - **Experience:** Experienced - **Salary:** €3,800.0 - €4,800.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Python (Programming Language), Machine Learning, Natural Language Processing, Cloud Services, Tensorflow, Standard Sql, Reinforcement Learning, Computer Network Operations, Chatbots, LangChain, Large Language Models, Llamaindex, Keras, Agentic-AI, Containerization, Scikit Learn, Production Code, Data Analytics, Xgboost, Machine Learning Operations, Docker, Programming Languages - **Published:** October 12, 2026 - **Apply:** https://werkenbij.odido.nl/vacature/1630/data-scientist-2 ## About the Role * Honesty, people-first and proactive mindset * Thinking in solutions, not problems * Drive to continuously improve, * Master's (WO) degree in AI, Machine Learning, Data Science, or related field * 2-4 years of relevant working experience 2. Generative AI foundations * Hands-on experience with building GenAI products using Python and GitHub * Familiarity with LLMs is a must 3. Strong coding & architecture * Solid Python skills and ability to write clean, production-grade code * Experience with Docker for containerization 4. AI frameworks & tooling * Familiarity with Langchain, LlamaIndex, Agentic AI, and vector databases 5. Model deployment * Experience deploying models on AWS and/or on-prem environments 6. Predictive modeling * Strong understanding of predictive modeling using Python and SQL * Familiarity with libraries such as TensorFlow, Keras, XGBoost, scikit-learn 7. 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 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. ## Description Build GenAI and churn models at Odido, making telecom more human with data-driven impact for millions of customers. 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, We value clarity. This is the salary range for this position (gross per month excluding holiday allowance and bonus/commission). This salary range is based on the role, responsibilities, and relevant experience we are seeking. Your starting salary falls within this range, tailored to your knowledge and experience. Good to know: the scale extends further, so you have room to grow-in your role and in your salary. Colleagues who paved the way Here the human connection matters. We set the bar high for our reports, but there's always time for a good joke or a spontaneous coffee break. That positive energy is what makes me open my laptop with pleasure every day. Jeffrey Sprangers Manager Financial Control Commercial Your growth path at Odido isn't fixed in advance, you can go in any direction, horizontally too. I get the chance to gain new knowledge across different finance domains and keep collecting new experiences. Here you truly chart your own route. Zhen Lin Manager Finance Operations I'm glad that at Odido I can be fully myself and feel heard. Diversity matters, especially within IT. Because different perspectives lead to the best solutions., That's possible temporarily under certain conditions: a maximum of 30 working days per 12 months, only within the EU (and a few designated countries), and with prior approval from your manager. Working from abroad on a long-term basis is not permitted. Yes, Odido offers learning opportunities and a personal development budget of up to €1,000 per year (pro-rated for part-time), to spend on relevant training in consultation with your manager. At Odido we work with a modern tech stack in which programming languages such as Java and Python and cloud solutions play an important role. The exact technologies vary by team and role, but the focus is on scalable, data-driven and future-proof solutions. At Odido we work hybrid. This means that as an IT specialist you work partly from home and partly in the office, depending on your role and activities. The guideline is that you are present in the office part of the week to promote collaboration and knowledge sharing, and you can work flexibly from a distance the rest of the time. Working fully remote is not the standard. For roles within Network Operations, an on-call or standby arrangement may be part of the position. This means you are available outside regular working hours on a rota basis to resolve incidents.