Data Scientist, Relevance and Recommendation

Senior Data Scientist – Machine Learning & Generative AI About the Assignment We are looking for an experienced and driven Data Scientist for an exciting consulting assignment within a large international organization undergoing significant development in AI, machine learning, and data-driven innovation. You will join an advanced AI and Data Science team, working on the development and deployment of scalable machine learning solutions that support intelligent decision-making and personalized digital experiences. This is an excellent opportunity for a Data Scientist who combines strong analytical expertise with hands-on experience in production-ready machine learning, Generative AI, and modern cloud technologies. Key Responsibilities Design, develop, and deploy scalable machine learning models and AI-driven solutions. Build and maintain production-ready ML pipelines and applications in cloud environments. Develop and implement solutions using Large Language Models (LLMs), embedding models, and retrieval-based architectures. Work with vector databases, prompt engineering, and modern Generative AI frameworks. Build robust data processing, transformation, and aggregation pipelines. Implement and improve MLOps practices, CI/CD pipelines, and model deployment processes. Collaborate with engineers, product teams, and business stakeholders to translate business needs into technical solutions. Lead AI initiatives and contribute to technical decisions throughout the development lifecycle. Communicate complex analytical findings and AI concepts to technical and non-technical stakeholders. Requirements We are looking for a Data Scientist with: Bachelor's or Master's degree in Statistics, Engineering, Computer Science, or a related field. At least 5 years of professional experience in Data Science or Applied Machine Learning. Strong theoretical and practical understanding of statistics and machine learning. Proven experience developing and deploying ML models in production cloud environments. Hands-on experience with MLOps, CI/CD pipelines, and cloud-based ML infrastructure. Advanced proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar. Strong SQL skills and experience working with complex datasets. Experience building data wrangling, transformation, and aggregation pipelines. Practical experience with vector databases, embeddings, and retrieval-based systems. Hands-on experience developing and deploying ML- and LLM-based applications. Experience with prompt engineering and modern Generative AI technologies. Proven ability to lead AI projects and manage stakeholders. Excellent communication and collaboration skills. Meritorious Qualifications Experience working with Google Cloud Platform (GCP). Familiarity with DBT or similar data transformation tools. Experience developing AI-powered recommendation, relevance, or personalization solutions. Experience working in large-scale, data-driven environments. Assignment Details Role: Data Scientist – Machine Learning & Generative AI Seniority: Experienced / Senior Start date: November 15, 2026 End date: June 30, 2027 Scope: Full-time, 100% Remote work: Not available – on-site presence required Location: Stockholm Interested? Are you an experienced Data Scientist passionate about building production-ready AI solutions and turning advanced machine learning into real business value? We look forward to receiving your application!