Data Scientist LLM

A positive future for everyone — that’s what we’re working towards at Sopra Steria. With over 56,000 colleagues in 30 countries, we are Europe’s leading provider of digital solutions. We believe that it’s not just technology that drives transformation, but that people are at the heart of change. That’s why people are central to everything we do, both individually and as teams.

The world is shaped by how we choose to shape it. Let’s shape it together.

We are seeking an innovative and experienced Data Scientist specialising in Large Language Models (LLMs) to join our dynamic team in Nieuwegein, Netherlands. In this role, you will be at the forefront of developing and implementing cutting-edge Natural Language Processing (NLP) solutions, bridging the gap between emerging technologies and business needs.

• Design, develop, and implement advanced machine learning models, with a focus on LLMs and NLP applications
• Collaborate with cross-functional teams to identify and solve complex business problems using data-driven approaches
• Conduct research on state-of-the-art LLM techniques and contribute to the development of novel algorithms
• Preprocess and engineer features from large-scale textual datasets for NLP tasks
• Optimise and deploy machine learning models in production environments
• Mentor junior team members and provide technical guidance on NLP and LLM projects
• Stay abreast of the latest developments in LLMs and GenAI, sharing insights with the team and clients
• Contribute to the continuous improvement of our data science processes and methodologies

• Master's degree (or equivalent experience) in a data-driven field such as Computer Science, Statistics, Artificial Intelligence, or a related discipline
• Minimum of 3-4 years of hands-on experience in machine learning, with a strong focus on NLP and LLMs
• Proven track record of implementing machine learning models in production environments
• Advanced proficiency in Python and experience writing production-ready code
• Extensive knowledge of LLMs and embeddings (e.g., GPT, BERT) and their applications
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch
• Experience with NLP-specific tools and libraries (e.g., LangChain, HuggingFace, spaCy)
• Proficiency in working with containerisation and orchestration tools (e.g., Docker, Helm, Kubernetes)
• Strong understanding of CI/CD practices and version control systems (e.g., Git)
• Demonstrated ability to preprocess data and engineer features for NLP tasks
• Knowledge of model optimization techniques and deployment strategies
• Excellent problem-solving skills and a constructive approach to challenges
• Strong communication skills and ability to explain complex concepts to both technical and non-technical audiences
• Fluency in Dutch and English (both required)
• Passion for staying up-to-date with the rapidly evolving NLP and LLM landscape
• Collaborative mindset and enthusiasm for working in a team environment

You’ll be part of a major name in the tech world, known for its consulting, digital services, and software development. You’ll work alongside high-level professionals who are bold in their approach and committed to delivering exceptional results. In addition, you’ll become part of our Data area.

Within the Data area, we create long-term value for our clients through data. We help companies stay agile during transitions by making data and technology a key part of both daily operations and strategic decision-making. In doing so, we help our clients stay ahead of change through the power of data. Our ambition is to help organizations excel with data. You’ll work in a high-tech environment focused on knowledge and innovation, with an open, no-nonsense culture that encourages initiative. The area consists of five practices: Data Governance & Data Management, Data Visualization, Data Science & AI, Data Engineering & Data Migrations, and Spatial Intelligence — each with a clear identity and focus on content and corresponding solutions. Over 170 professionals work in this area, each in the practice that best suits their expertise and interests.

Ready for the next step in your career? We’re happy to guide you in the right direction — with offices in nearly 30 countries, we can take you places you’ve never been before. Prefer to grow internally? That’s possible too. We encourage you to keep challenging yourself and become the best version of who you are.

At Sopra Steria, we ensure you can do your job with joy and balance. That’s why we offer an attractive and flexible employment benefits package:

• A permanent contract and a gross monthly salary between €3,000 and €6,000 (based on 40 hours per week). The exact amount depends on your experience and the role;
• 8% holiday allowance;
• A generous mobility budget, including options such as an electric lease car with an NS Business Card, a lease bike, or alternative transportation that best suits your travel needs;
• 8% profit sharing on target (or a fixed OTB amount, depending on the role);
• 27 paid vacation days;
• A flex benefits budget of €1,800 per year, plus an additional percentage of your salary. This can be used for things like purchasing extra vacation days or contributing more to your pension;
• A home office setup with a laptop, phone, and a monthly internet allowance;
• Hybrid working: from home or at the office, depending on what works best for you;
• Development opportunities through training, knowledge-sharing sessions, and inspiring (networking) events;
• Social activities with colleagues — from casual drinks to sports and content-driven outings;
• A flexible pension scheme with customizable contributions tailored to your needs;
• Option to participate in a collective health insurance plan.

Does this job sound like a match for you? Ready to help shape the world with us? Fantastic! We’re already looking forward to receiving your application.

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Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences.