AI Data Scientist/Engineer
Data Scientist/Engineer on SD Worx's Corporate Data Solutions team in Malaga, building AI solutions end to end — from problem framing and experimentation to production deployment — using machine learning, Generative AI/LLMs, retrieval-based and agentic AI, primarily with Python and Azure.
- Compensation
- Not disclosed
- Location
- Malaga, ES
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- Master's degree in Computer Science, Information Sciences, AI, ML, Data Science or related field
- 5-7 years of experience in Data Science, Machine Learning, AI or related role
- Strong knowledge of machine learning, statistical analysis and modern AI techniques
- Strong programming skills in Python and experience with data science/AI libraries
- Experience developing AI solutions with structured and unstructured data
- Hands-on experience with Generative AI and Large Language Models or comparable modern AI technologies
- Understanding of techniques for connecting AI systems with enterprise data and knowledge
- Experience designing evaluation and testing approaches for AI solutions
- Ability to contribute to production-ready AI solutions
- Experience with cloud platforms, preferably Microsoft Azure
- Modern software development practices including Git and CI/CD
- Good understanding of APIs and integrating AI capabilities into applications and business processes
- Excellent analytical and problem-solving skills; comfort with ambiguous problems
- Strong communication skills for technical and non-technical audiences
- Curious, eager to learn, pragmatic and result-driven mindset
Nice to have
- Experience with Generative AI, LLMs, retrieval-based AI or agentic AI systems
- Experience developing AI solutions that interact with enterprise applications, data sources or APIs
- Experience with cloud-native technologies such as Docker and Kubernetes
- Experience with MLOps/LLMOps, monitoring and operationalisation of AI solutions
- Experience with AI evaluation, experimentation and automated testing approaches
- Experience developing AI products used in real business processes
- Experience working in Agile, multidisciplinary teams
- Experience in HR, payroll or another complex knowledge-intensive business domain
Full description
SD Worx is a leading European provider of Payroll & HR services with global 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.