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HR Data Scientist (People Analytics)

Capgemini Polska

⚲ Gdańsk, Katowice, Kraków, Lublin, Opole, Poznań, Warszawa, Wrocław

Do uzgodnienia

Wymagania

  • Python
  • R
  • SQL
  • Power BI
  • DAX
  • Machine Learning
  • NLP

Opis stanowiska

Nasze wymagania:
Proven experience in Data Science within HR / People Analytics environments
Strong programming skills in Python (R is a plus)
Solid understanding of classification, regression, clustering, NLP fundamentals, and forecasting
Strong SQL skills for data extraction and transformation
Advanced expertise in Power BI and DAX, including dashboard and data model design
Ability to communicate insights effectively and translate data into business value
Strong stakeholder management and consulting skills, including requirements gathering
Curiosity and commitment to continuous learning, especially in ML/AI, analytics, and emerging tools

O projekcie:
You play a key role in delivering advanced People Analytics and data science projects for global clients.
By transforming workforce challenges into actionable insights, you help HR and business leaders make confident, data‑driven decisions.
Working in an international consulting environment, you combine analytics, storytelling, and collaboration to create meaningful impact across talent, employee experience, and workforce strategy.

Zakres obowiązków:
Translate workforce and HR challenges into clear analytical problem statements
Design and deliver analyses using statistical modelling, machine learning, and data science techniques
Build predictive and descriptive models across talent acquisition, attrition, DEI, and workforce planning
Prepare and integrate datasets from HR and non‑HR systems in collaboration with data engineering teams
Develop Power BI dashboards with advanced DAX for KPI modelling, segmentation, and time‑intelligence
Turn complex analyses into clear data stories and business recommendations
Contribute to reusable assets, templates, and accelerators to enhance delivery quality and speed
Collaborate with global teams, ensuring high consulting standards, quality, and clear communication

Oferujemy:
Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.

🔍 Dekoder Ogłoszenia

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Ability to communicate insights effectively and translate data into business value
Oczekuje się, że będziesz potrafił wyjaśnić złożone wyniki analiz w sposób zrozumiały dla osób nietechnicznych i pokazać, jak wpływają one na cele biznesowe.
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Strong stakeholder management and consulting skills, including requirements gathering
Będziesz musiał aktywnie współpracować z różnymi działami i menedżerami, aby zrozumieć ich potrzeby i zaproponować rozwiązania oparte na danych.
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You play a key role in delivering advanced People Analytics and data science projects for global clients.
Twoja praca będzie miała znaczący wpływ na projekty realizowane dla międzynarodowych klientów, co może oznaczać pracę nad różnorodnymi i złożonymi problemami.
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Working in an international consulting environment
Spodziewaj się pracy w zespole o międzynarodowym charakterze, co może wiązać się z różnymi strefami czasowymi i kulturami pracy.
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Prepare and integrate datasets from HR and non‑HR systems in collaboration with data engineeri
Będziesz odpowiedzialny za przygotowanie i łączenie danych z różnych źródeł, co może wymagać współpracy z innymi zespołami technicznymi.