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

(Senior) Data Scientist - Personalisation (m/f/n) at InPost in Poland.

Responsibilities

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).

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 commercial experience as a Data Scientist . Consulting and marketing analytics experience are a plus
• Mindset – you are goal-oriented and independent, skilled in change and time management, business-conscious, able to think long-term and decompose business problems
• Languages – you are proficient in Polish and English (other languages knowledge is a plus).

Technical skills

• Excellent knowledge of ML solutions and their impact on business and user experience (clustering, recommender systems, regression, classification, etc.).
• Hands-on experience with working with large amounts of data.
• Proficiency in Python 3 , as well as ML and data analysis libraries (e.g. Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TF/Pytorch, etc.).
• Experience in writing well-structured code : functions, classes, modules.
• Knowledge and experience in PySpark, relational databases, cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake).

Nice to have

• Experience in leveraging CI/CD pipelines in data-based products.
• Experience with data pipelines framework, preferably Kedro.
• Experience with CLI tools: bash/zsh.

About the Company

Impact: Your work will directly influence strategic decisions and operational efficiencies across multiple international markets.

Innovation: Be part of the team that's pushing boundaries of data analytics, working with the latest technologies and methodologies.

Growth: This role offers unparalleled opportunities for professional development in a data-driven, technology-forward environment.

Collaboration: Engage with cross-functional teams, share knowledge and best practices, fostering a culture of continuous learning and improvement.

We offer B2B type of Contract

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost ’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option.

We are seeking talented and passionate Data Scientists to join our Personalization Hub . In this role, you will leverage advanced analytical techniques and machine learning models to extract actionable insights from our complex data sets, driving strategic decision-making and operational excellence . You will collaborate closely with cross-functional teams to develop innovative solutions that enhance our logistics operations, improve efficiency, and elevate the customer experience.

If you have specialized knowledge in user, product and/or marketing data science (or want to gain it) - we would very much like to meet you! :)