SD Worx is a leading European provider of Payroll & HR services with general reach. We have offices across Europe and in Mauritius. Our purpose is to bring people solutions to life, enabling organizations of all sizes to turn Human Resources into a source of value for both the business and its people.

Our people solutions cover the entire employee journey – from getting people paid to attracting, rewarding and developing talent.

About the role:

Join our Corporate Data Solutions Tribe, responsible for providing data, analytics and AI capabilities across the SD Worx Group. CDS manages data platforms, data integration, information models and the transformation of Corporate Data into Information & Insights.

The Advanced Analytics & Artificial Intelligence Team within CDS focuses on applying Artificial Intelligence to solve complex business problems and create new capabilities across SD Worx. Our work covers a broad spectrum of AI, including machine learning, Generative AI, intelligent automation, knowledge-based solutions and emerging agentic AI technologies .

As a Data Scientist , you will contribute throughout the full AI solution lifecycle: from understanding the business problem and experimenting with different approaches to designing, evaluating, deploying and continuously improving production AI solutions.

Which tasks can you expect?

- AI Solution Development: Design and develop AI solutions using appropriate approaches such as machine learning, Generative AI, Large Language Models, retrieval-based systems and agentic AI.

- Advanced Analytics & Machine Learning: Apply statistical techniques,



machine learning and data analysis to solve complex business problems and identify opportunities for automation and optimization.

- Generative AI: Develop solutions that leverage Large Language Models and other foundation models to work with natural language, documents, enterprise knowledge and business processes.

- AI Solution Design: Translate business problems into effective AI solutions, selecting appropriate models, techniques, data sources and technologies based on the needs of the use case.

- Data & Knowledge: Prepare and structure data and knowledge required by AI systems, ensuring quality, relevance and appropriate use.

- AI Evaluation & Testing: Define meaningful evaluation approaches and systematically assess the quality, reliability and effectiveness of AI solutions before and after deployment.

- Solution Deployment: Bring AI solutions from experimentation into production, ensuring scalability, maintainability, security and operational reliability.

- Continuous Improvement: Monitor AI solutions and use operational data, user feedback and evaluation results to continuously improve their performance.

- Research & Innovation: Stay current with developments in machine learning, Generative AI and agentic AI,



and assess how emerging technologies can create value for SD Worx.

- Collaboration: Work with business experts, engineers, architects, product teams and other stakeholders to develop AI solutions that address real business needs.

- Responsible AI: Ensure AI solutions are developed and used responsibly, with appropriate consideration for security, privacy, transparency, governance and regulatory requirements.

- Knowledge Sharing: Contribute to reusable AI practices, patterns and capabilities and share knowledge with colleagues across the organization.

What do you have to offer?

- Master’s degree in Computer Science, Information Sciences, Artificial Intelligence, Machine Learning, Data Science or a related field.

- At least 5–7 years of experience in Data Science, Machine Learning, Artificial Intelligence or a related role.

- Strong knowledge of machine learning, statistical analysis and modern AI techniques .

- Strong programming skills, particularly in Python , and experience with relevant data science and AI libraries.

- Experience developing AI solutions using different types of structured and unstructured data.

- Hands-on experience with Generative AI and Large Language Models , or demonstrable experience working with comparable modern AI technologies.

- Understanding of techniques for connecting AI systems with enterprise data and knowledge .

- Experience designing appropriate evaluation and testing approaches for AI solutions .

- Ability to move beyond experimentation and contribute to production-ready AI solutions .

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📌 AI Data Scientist/ Engineer (España)
🏢 Sd Worx
📍 España