Data Scientist – AWS

About the Role

Why SoftwareOne? SoftwareOne is a global provider of software and cloud solutions. With a presence in over 70 countries and more than 12,000 professionals, we help organizations optimize software investments, modernize applications, and unlock the value of cloud, data, and AI. Our people are at the core of everything we do. We enable collaboration across borders, continuous learning, and opportunities to grow in a fast-evolving technology landscape. Whether your focus is on technology, customer success, or business operations, your ideas matter, and your contributions make a difference. Join a global team where you can build your skills, work with leading technologies, and make a real impact for our customers. The role - 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 . What we need to see from you - Professional experience in  data , AI, or cloud-focused  role , such as  Data Scientist, ML Engineer, Data Engineer, Python Developer, or Cloud Engineer - Strong programming and analytical skills, including  Python  (e.g., pandas, NumPy, boto3) and  SQL , with experience working with large and complex datasets - Hands-on experience with  AWS data and AI services , including  Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, and/or Amazon SageMaker - Experience developing or applying  machine learning, predictive analytics, statistical models, or AI-driven solutions  to solve business problems - Strong interest or practical experience in  Generative AI , including  Amazon Bedrock, LLMs, prompt engineering, and cloud-based AI solutions - Strong  communication , presentation, and stakeholder management skills , with the ability to work directly with clients, explain analytical findings, and take ownership of deliverables - Curiosity and willingness to learn  new technologies , with familiarity with  AI Agents, RAG,  LangChain ,  LlamaIndex , Apache Spark, and AWS certifications  considered an advantage What we offer Our company benefits vary based on your location, but always include: - Global company culture: We defined our 6 core values through our company culture ( https://www.softwareone.com/en/our-story/our-values ) - A mentor who supports your successful start and is at your side with advice and action - President’s Club: Recognition awarded by leadership and your peers - Flexible work: Do  great work  from anywhere but also visit local office to deliver excellence in team  relationship - Lifelong education: A variety of training and development opportunities - Hire to Grow: We  optimize  our internal structures and feedback culture constantly to be your Employer of Choice, today and in future Job Function Software & Cloud Accommodations SoftwareOne welcomes applicants from all backgrounds and abilities to apply. If you require reasonable adjustments at any point during the recruitment process, email us at reasonable.accommodations@softwareone.com. Please include the role for which you are applying and your country location. Someone from our organization that is not part of the decision-making process will be in touch to discuss your specific needs and we will make every effort to accommodate you. Any information shared will be stored securely and treated in the strictest of confidence in line with GDPR. At SoftwareOne, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.  Additionally, we encourage experienced individuals that have taken an intentional career break and are now prepared to return to work to explore our SOAR program.