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Senior Data Scientist (Model Risk Office)

MindPal·Salary not specified

Primary stack

PythonMachine Learning

Job description

About the Position

Senior Data Scientist (Model Risk Office)

Procter & Gamble is seeking a Senior Data Scientist to join the Model Risk Office in Warsaw, Poland. This role focuses on model risk assessment and ensuring reliable, production-grade algorithms.

Responsibilities

  • Partner with product teams and business leaders to understand problems and ensure reliable algorithmic solutions with data science/AI/data engineering teams.
  • Develop insights that guide other data scientists to create positive business and people impact.
  • Work with large-scale systems and pipelines using big datasets.
  • Apply machine learning techniques and algorithms to answer business questions and propose solutions.
  • Further develop expertise in machine learning, statistics, optimization, GenAI, and advanced analytical models.
  • Review and write production-grade code using best practices.
  • Help improve the understanding of building and maintaining resilient algorithmic pipelines.

Requirements

  • Master’s in a quantitative degree (or Bachelor’s/Engineer with sufficient consecutive data science experience).
  • At least 5 years of Data Science experience, including at least 3 years with production-grade data science/algorithmically enabled applications.
  • Strong coding ability; Python and Spark are preferred.
  • Strong technical and analytical skills (machine learning, optimization/OR, simulation, predictive modeling, etc.).
  • Proven leadership, problem-solving, and prioritization experience.
  • Strong attention to detail, curiosity, and collaboration; comfortable working across teams.

We Offer

  • International Data Science team with global responsibilities.
  • Long-term career development and growth opportunities.
  • Competitive salary and benefits (private health care, life insurance, stock options, saving plans, lunch subsidy, sports cards, in-office fitness center).
  • Trainings, certifications, conference participation, and internal coaching programs.
  • Flexible working arrangements in a hybrid model.

About the Company

Procter & Gamble is a global leader in consumer goods, known for its innovative products and commitment to quality and sustainability.

© MindPal. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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MindPal

Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce

About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.

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