Technical Product Owner supporting the Small Business Data Science team to enhance analytical solutions. Collaborating with stakeholders to align data science strategies with business goals.
About the role
- Data Science / AI Engineer responsible for designing and deploying data analytics services. Collaborating on AI solutions with cross-functional teams at GFT Poland.
Responsibilities
- Design, build, test and deploy Cloud and on-premise Data analytics services
- Be an go to person for AI related questions
- Model development and operationalization
- Analytics Consultancy
- Collaboration with other project teams
- Be a Data engineer when needed
Requirements
- At least 3 years of commercial experience as an AI Engineer or Data Scientist
- Knowledge of machine learning model development and evaluation methods
- Experience with large language models (LLM), embeddings and GenAI models
- Strong Python data science and machine learning stack
- Experience in AI/ML tools in any major cloud platform (GCP, Azure or AWS)
- Strong SQL and Spark/PySpark
- Strong Data Engineering Skills
- Nice to have Data Engineering background
- Understanding of key concepts around Data Warehousing, Data Lakes and Data Lakehouses
- Experience with Data Visualization
Benefits
- Contract of employment
- Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office days per week)
- Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
- On-line training and certifications fit for career path
- Access to e-learning platform Mindgram - a holistic mental health and wellbeing platform
- Work From Anywhere (WFA) - the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria)
- Social events
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Scientist supporting cross - functional AI/ML initiatives at Royal Caribbean Group. Designing, developing, and delivering analytical solutions with a focus on machine learning.
Health Data Scientist combining expertise in health communication, data analytics, and behavioral research. Joining a dynamic team to tackle global health challenges using data - driven methodologies.
Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
Data Scientist at Capital One using ML to revolutionize customer engagements through personalization. Collaborate with elite teams to build cutting - edge recommendation systems.
AI Agent Developer responsible for designing and building AI agents to operate within digital environments. Collaborating with teams to deliver innovative AI solutions and ensure functionality within complex systems.
AI Agent Developer designing and implementing autonomous intelligent agents using AI frameworks. Collaborating across teams to optimize agent capabilities and performance.
Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross - functional teams to architect scalable machine learning solutions in cloud environments.
Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.