Company Overview

team.blue is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. Our mission is to make online business success simpler, by providing our customers with all the tools and resources they need to excel online and remain ahead of the curve.

Position Overview

We are looking for a highly skilled Data Scientist who thrives at the intersection of analytics, product thinking, and innovation. The ideal candidate will be responsible for developing algorithms to solve complex, real-world business problems across the team.blue group. This role requires strong programming and data wrangling skills, good comunication abilities and up-to-date knowledge of the latest Data Science/ML/AI developments.

Responsibilities:

• Develop and prototype innovative data and AI products using classical machine learning methods and generative AI (GenAI)
• Take ownership of developing, implementing, and automating robust data science models and pipelines, including feature generation, modeling, evaluation, retraining and deployment
• Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics
• Collaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutions
• Conduct research on the latest Data Science/ML/AI developments and apply them to improve our systems
• Document processes, code, and findings for future reference and knowledge sharing

Required skills and experience:

• Proven hands-on experience (5+ years) designing and implementing diverse data science and machine learning models to solve real-world business problems
• Expert programming skills in Python and SQL and with relevant ML & AI frameworks (Scikit-learn, Pandas, etc) and design patterns (e.g. RAG)
• Experiment with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines
• Deep understanding of Data Science/ML toolsets, methodologies and appraches
• Strong problem-solving skills with excellent communication and documentation skills
• Ability to work collaboratively with cross-functional teams

Nice to have skills:

• Master's or PhD degree in Computer Science, AI, Machine Learning, or a related field.
• Software engineering background, ideally in backend or ML development and system integration
• Deep understanding of current DataOps & MLOps practices, deploying and monitoring models and ETL (extract, transform and load) pipelines
• Experience with AI/ML R&D
• Experience with distributed data tools (eg. Spark, Dask, Apache Arrow)

"Come as you are"

Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

ESG

“At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.”

Right to work

At any stage please be prepared to provide proof of eligibility to work in the UK.

Unfortunately, we are unable to support Sponsorship Visas.