(Senior) Data Scientist - Personalisation (m/f/n)

On a daily basis you will: Partner with our Product and Business Teams to understand their needs, translate them into data science solutions, and provide actionable insights. We work with all business products within InPost , e.g. InPost Mobile, Loyalty Programme, InPost Pay, among others. Develop and implement data science solutions (ML models, GenAI products, hybrid approaches, data analytics) to optimize marketing and products strategies, enhance user experience and shape targeting. Collaborate closely with cross-functional teams (e.g. other Data&AI teams, Technology teams) to ensure seamless integration of data-driven initiatives. Stay ahead of the curve exploring cutting-edge methods and being on top of new trends in Data Science & AI. Communicate insights and recommendations to the management and business teams, and other data community members. In summary – you will have an opportunity to conduct end-to-end data products: exploring business needs (skills: understanding business, communication), analyze problems and propose thesis (data analytics), develop a solution (skills: hands-on ML/AI), present insights and results (skills: communication, translating technical stuff to non-technical people, ppt/BI), maintain the solution (skills: basic BI skills, model monitoring). Job requirements: Education – Bachelor’s or Master’s degree in a relevant field, e.g. Data Science, Computer Science, Mathematics, Econometrics Experience – you have at least 3 years of commerci