AI Applied Data Scientist

Added 13/11/2026

Long-term, stable contract of employment - 23 000 - 25 000 PLN gross monthly
Hybrid work from Warszawa - 3 days from the office, 2 remotely

About Our Client

At Perrigo, we are driven by our mission to Makes Lives Better Through Trusted Health and Wellness Solutions, Accessible to All. We are proud to be a Top 10 player in the European Consumer Self-Care market and the largest U.S. store brand provider of over the counter and infant formula. Dedicated to providing The Best Self-Care for Everyone, we are the people behind the brands you trust. We are Opill®, Compeed®, Solpadeine®, NiQuitin®, and many more. We Are Perrigo. We are committed to enhancing the wellbeing of our colleagues and consumers alike. We pride ourselves on fostering an inclusive, collaborative culture where each person can experience a sense of belonging

Job Description

Lead evaluation of each agent against known cases, working with business users such as buyers and marketing reviewers.
Build and maintain statistical and cost models, with clearly stated uncertainty.
Measure accuracy, bias and error rates, and check for data leakage.
Design experiments and baselines. Measure value, including sales impact where it needs to be tested separately.
Work with Finance to agree baselines and the benefit measurement method.
Produce clear evidence packs that support business acceptance and independent risk review.
Work with the Agent Engineers to feed test failures back into fixes.

The Successful Applicant

Around 4+ years in applied data science, statistics or analytics.
Strong foundation in statistics, evaluation and experimental design.
Experience with causal attribution and with testing models for leakage and uncertainty.
Strong Python skills.
Ability to explain statistical results to non-technical business and finance stakeholders.
Fluent English.
Experience evaluating language-model or AI-agent outputs.
Experience in forecasting, pricing, cost modelling or marketing measurement.
Experience working with Finance on benefit validation.