PM
Philip Morris International

Data Scientist

On-siteposted 2mo ago

Skills required

About this role

At PMI, we’ve chosen to do something incredible.

We’re totally transforming our business and building our future on smoke-free products with the power to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and you will have the space to move your career forward in many different areas/directions.

PMI’s journey to a smoke-free future implies a shift from a tobacco manufacturer to a science and technology-based consumer facing organization.

Such a shift creates an abundance of unique and transformative IT projects to match all levels of skills and ambitions. You’ll feel like you’re working in a start-up – with the freedom to shape and define the future of digital, but with the support and scope of a vast global business. You’ll get a chance to work with cutting-edge technologies (e.g., Cloud, APIs, AI) as well as management practices (e.g., Agile, Design Thinking, Product Management). Our environment is fast-paced and highly collaborative. If you want the freedom to find new ways to connect with consumers, there’s no better place to progress your career.

"At our Global Data & Analytics Hub, we operate within a product-based framework, prioritizing collaboration, innovation, and most importantly, delivery of value to our customers through impactful data products. We are committed to leveraging data and advanced analytics to drive business growth and deliver exceptional value to our customers across markets, functions, and categories.

Data Scientist role is in converting business problem to mathematical and statistical one, writing a code to create a solution leveraging modern algorithms like classification, clustering, prompt engineering and regression, and put it into production pipeline to support business process"

Principal Accountabilities:

  1. Help convert business problems into well-framed mathematical/statistical or AI problems and deliver them as production-ready code through CI/CD, code review and collaboration tools.
  2. Contribute to conversations with business stakeholders to help shape viable data/AI products, developing an understanding of scope, timeline and quality across PoCs and delivery.
  3. Contribute to Data Science workstreams within projects — taking ownership of well-defined tasks and supporting technical decisions under the guidance of senior colleagues.
  4. Work efficiently in Scrum teams and contribute to reproducibility, test coverage and engineering standards.

Skills and Competences:

  • Bachelor degree in relevant sphere (Mathematics, Computer Sciences)
  • 1+ years of experience in Data Science
  • Programming: Python (mandatory), SQL is a plus.
  • CI/CD & SDLC: working knowledge of Git/Bitbucket and familiarity with automated testing and versioning.
  • Cloud — AWS: foundational familiarity with the AWS stack, including exposure to Amazon SageMaker, Bedrock, S3 and Lambda (willingness to learn is key).
  • MLOps awareness: basic understanding of deploying, monitoring and maintaining models/agents in production.
  • LLMs & frameworks: exposure to LangChain/LangGraph, RAG and vector stores, prompt engineering, guardrails, context/token management.
  • Data Governance: awareness of data privacy, security and compliance principles.
  • Agile methodologies and a hypothesis-driven mindset.
  • Soft skills: eagerness to learn, willingness to receive feedback, ability to communicate clearly, and to collaborate within a team.

WHAT WE OFFER YOU?

Permanent local contract with a competitive salary plus Tabaqueira’s employee benefit including:

• Life and Health insurance

• Employee Pension Plan

• Hybrid working model

• Growing opportunities within the Company, both at national and international level

• Possibility of development in both Controlling and Business Partnering areas

• Very diverse and international work environment

Please note that only on-line applications will be taken into consideration. No relocation package available.

✕ position closed

This role is no longer accepting applications. It’s kept here for reference — check out the similar open roles below.

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