Data Scientist – AWS

• Do you enjoy turning complex data into actionable insights and building AI-powered solutions that solve real business challenges?
• Are you ready to leverage AWS, Machine Learning, and Generative AI to help organizations unlock the full potential of their data?
• Interested in joining a leading global software and cloud solutions provider helping organizations accelerate innovation and digital transformation?

Practical Information

Location: Poland | Reports to: Team Leader Data & AI | Work Arrangement: Remote | Contract type: Full-time | Visa Requirements: Valid Visa for Poland | Language Requirements: Fluent/professional Polish and English, written and verbal

As our new Data Scientist - AWS, you will leverage data, machine learning, and Generative AI to solve complex business challenges and deliver actionable insights for our clients. You will design, develop, and optimize data science, analytics, and AI solutions on AWS, transforming business requirements into scalable models and intelligent applications. Working closely with clients and cross-functional teams, you will leverage modern AWS services and emerging technologies, including Amazon Bedrock, Large Language Models (LLMs), and Generative AI, to drive innovation and business value.

Key responsibilities

• Develop, train, and optimize machine learning, predictive analytics, and Generative AI solutions to address business challenges.
• Analyze and prepare data from multiple sources, ensuring quality, reliability, and suitability for data science and AI use cases.
• Design, build, and evaluate ML models, LLM-powered applications, and AI-driven workflows using AWS services and industry best practices.
• Analyze complex business and data challenges, translating them into effective data science and AI solutions.
• Troubleshoot and improve model performance, data pipelines, and AI applications across cloud environments.
• Translate business requirements into technical specifications, estimate project effort, and contribute to solution design and delivery planning.
• Collaborate closely with clients and internal teams to present findings, communicate recommendations, and successfully deliver project objectives.