Data Scientist (AI Engineering)

TL;DR

Data Scientist (AI Engineering): Designing, developing, and deploying data modelling and automation solutions for a leading client with an accent on data enrichment, automation and agentic space. Focus on translating complex business questions into robust data models and automation workflows and collaborating with engineers to bring these models into production in a scalable and maintainable way.

Location: Must be in the office two days a week in Warsaw, Poland

Salary: 8 500 zł - 17 000 zł PLN

Company

hirify.global is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale.

What you will do

• Actively explore and identify the latest techniques related to DS, ML and automation/agentic techniques.
• Perform hypothesis testing, data preparation and product prototyping based on modern statistical and DS/ML and agentic methods.
• Research, develop and apply DS/ML/agentic models to solve business and clients’ problems effectively.
• Apply rigorous data cleaning and preprocessing techniques to ensure high-quality data for modelling.
• Lead data science projects, blending various data science techniques as needed to achieve optimal performance and actionable insights.
• Collaborate directly with internal analytics and business teams, to understand and document requirements, and deliver data science solutions that meet their specific business needs.

Requirements

• 3-5 years of experience in applied data science, analytics, or ML engineering.
• Strong SQL skills and comfort working with large-scale, multi-source data.
• Experience with version control (Git) and collaborative coding workflows.
• Advanced Python skills, incl. pandas, numpy, scikit-learn, scipy, statsmodels for modelling and analytics.
• Bachelors or advanced degree in Statistics, Economics, Business, Math, or Sciences is preferred.
• Experience in building and execution of advanced solutions for audience analytics and insights.

Culture & Benefits

• Access to internal learning platforms, certifications, and training sessions.
• Life insurance, medical care & sports card in Medicover.
• Funding for English language learning.
• Employee mental health awareness day.
• Hybrid approach, with teams in the office two days a week.