Data Scientist / AI engineer

Data Scientist / AI engineer for AI experimentation and execution

• 100% remote opportunity for candidates based in Poland
  
  

Sanoma Learning is the leading European learning company, serving over 20 million students in 11 countries. We offer printed and digital learning materials as well as digital learning and teaching platforms for primary, secondary, and vocational education. Our methodologies are developed based on deep teacher and student insights, with a strong focus on understanding their needs. By combining our educational technologies and pedagogical expertise, we create learning products and services with the highest learning impact. In our Technology organization, you will join the largest cross-cultural community of Sanoma Learning and contribute to the digital transformation and future of education in Europe.

Project Description

Working on creating early AI prototypes to drive experimentation in Sanoma Learning.

Size And Composition Of Your Current Team

You will be joining a cross-functional team of 6 professionals: 3 Data Scientists, 2 Analysts, and 1 AI Project Manager.

Role Responsibilities

The Data Scientist / AI Engineer will contribute to advancing AI experimentation at Sanoma Learning. Reporting to the Senior Director, Head of Data and AI, this role focuses on creating prototypes (PoCs/MVPs) using cutting-edge AI tools – especially in the domain of Generative AI and LLMs.

The role involves translating business needs into well-scoped AI experiments, building functional prototypes, and collaborating with cross-functional teams including product owners, engineers, project managers, and analysts across Sanoma Learning’s operating companies.

This is a hands-on position well suited for a technically capable and curious AI engineer who thrives on experimentation and iteration and is eager to turn new ideas into tangible value.

Key Responsibilities

• Design and develop PoCs and MVPs using modern AI techniques, with focus on Generative AI, LLMs, and agent- based systems.
• Collaborate with product and experimentation teams to translate business ideas into AI prototypes.
• Work across the technical stack – from data preprocessing to model implementation, orchestration, and deployment.
• Build retrieval-augmented generation (RAG) pipelines leveraging Sanoma Learning’s proprietary content.
• Apply prompt optimization and performance tuning to ensure efficient model usage and optimize costs
• Contribute to MLOps practices including model versioning, CI/CD, and testing pipelines.
• Ensure compliance with data privacy standards in close collaboration with security and legal teams.
• Document solutions and share learnings, contributing to internal best practices and experimentation infrastructure.
• Stay up to date with the evolving AI ecosystem and bring in relevant tools and techniques.
  
  

Education

Must-have requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Data Science, Engineering, or a related technical field.
• Relevant certifications in AI/ML, cloud platforms, or MLOps are a plus.
  
  

Experience

• 3–5 years of hands-on experience in AI engineering, machine learning, or applied data science roles.
• Experience developing PoCs or MVPs using LLMs, transformers, or related GenAI techniques.
• Familiarity with RAG systems and vector databases
• Exposure to cloud-native tools and infrastructure (e.g., AWS, GCP, Azure), Docker/Kubernetes, and orchestration tools like Airflow or Prefect.
• Experience implementing or adapting LLM evaluation frameworks is a plus.
• Understanding of compliance and governance requirements (e.g., GDPR, responsible AI practices).
• Prior exposure to EdTech or publishing is beneficial but not required.
  
  

Skills

• Solid understanding of transformer-based models and prompt engineering techniques.
• Proficiency in Python and experience with libraries such as LangChain, LangGraph, or OpenAI/Anthropic APIs.
• Familiarity with vector databases, embedding pipelines, and chunking strategies.
• Ability to develop agentic workflows and multi-step AI task execution.
• Working knowledge of MLOps, version control, and model deployment pipelines.
• Strong analytical thinking and experimentation mindset.
• Comfortable working in agile, cross-functional environments, with good written and verbal communication skills.
• Curious, adaptable, and eager to learn and implement new technologies in a fast-evolving space.
  
  

Personal Attributes

• Data-driven decision-making approach
• Proactive and positive “can-do” attitude, demonstrating initiative and resilience.
• Strong organizational skills, adept at managing multiple tasks simultaneously.
• Self-motivated, consistently seeking opportunities for improvement and innovation.
• Passionate about opportunities in Data and AI space
• English proficiency for everyday work
  
  

Location

100% remote work

What We Offer

B2B contract for an indefinite period;

Work-life balance and great atmosphere;

Opportunities for professional development through interesting tasks.

As an employer, Sanoma offers a working environment where you are able and encouraged to show your best self. The working environment is result-oriented as well as flexible with a focus on collaboration. We offer you a key position with interesting and challenging tasks and excellent opportunities for professional growth. You will be part of a highly professional and experienced international team in an open and informal setting, where initiative is expected and rewarded.