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Analyze multiple data sources, derive actionable consumer insights, translate complex analytical results into clear conclusions, and influence Customer and Brand teams’ business decisions. Interns collaborate across teams, solve ad hoc problems, communicate findings, and support technology-enabled analytical solutions during a 12-week internship.

As an HR Intern, you will assist with recruitment, onboarding, training programs, and contribute to employee engagement initiatives within a manufacturing environment.

Join P&G Central Europe HR as a trainee working across Talent Development, Labor Relations, Communications, or Organization Effectiveness. Partner with HR Business Partners, run HR projects with cross-functional teams, and receive coaching and formal training. Three-month traineeship with potential transition to HR Manager, hybrid work, and competitive benefits.

Build, test, tune, and scale SIEM and data-lake detection rules mapped to MITRE ATT&CK. Manage detection-as-code through Git, pull requests, and CI/CD pipelines; reduce false positives and improve alert fidelity. Collaborate with threat intelligence, threat hunting, SOC, and data engineering teams. Use AI agents, LLM-assisted workflows, and AI/ML techniques to accelerate validation, coverage analysis, anomaly detection, and behavioral analytics. Monitor emerging threats and document detection logic and tuning decisions.

Uses consumer, shopper, market, and retail analytics alongside qualitative research to uncover insights, inform business strategy, evaluate advertising and promotional investments, and influence product, pricing, media, retail, and go-to-market decisions. Partners cross-functionally with Brand Management, Finance, Sales, R&D, and other teams to communicate findings, identify growth opportunities, and drive action.

Build, test, tune, and scale SIEM and data-lake detection rules using threat intelligence, MITRE ATT&CK, and detection-as-code workflows. Investigate false positives, improve alert fidelity, collaborate with SOC, threat hunting, threat intelligence, and data engineering teams, and develop coverage for emerging threats. Use AI agents, LLM-assisted tooling, MCP, and machine-learning techniques to accelerate rule development, validation, telemetry analysis, and anomaly detection.

Designs, builds, tests, and maintains software and data infrastructure for business-facing solutions. Develops CI/CD and DevOps practices, supports applications throughout their lifecycle, contributes to internal tools and standards, and collaborates directly with end users. Requires Python, SQL, large-scale data engineering experience, Azure and Databricks knowledge, and familiarity with Power BI, Copilot Studio, and AI tools.

Monitors operational KPIs across multiple sites, identifies anomalies and emerging risks, applies established playbooks, documents incidents, and escalates exceptions. Provides concise stakeholder updates, conducts structured shift handoffs, tracks recurring issues and data-quality gaps, and summarizes trend-based risks for planning reviews. The role requires strong metric interpretation, documentation, communication, computer skills, and rotating shift availability. Logistics or warehouse operations, PRIME WMS, exception management, and continuous improvement experience are preferred.

As a Process Engineer at P&G, you will optimize production processes, ensure equipment reliability, quality, and safety in packaging and manufacturing operations.

Produce, shoot, and edit platform-native social content end-to-end for beauty and personal care brands. Spot and adapt trends, deliver finished assets fast, optimize for each platform, collaborate with creative leads, and manage media assets to build an always-on social content library.