At PMI, we're building our future on one clear purpose: to deliver a smoke-free future.

Impact You'll Own

At our Global Data & Analytics Hub, we turn business problems into mathematical/statistical solutions and production-grade pipelines that support real business processes.

As a Data Scientist, you will work in one of two complementary specializations while building a solid foundation in the shared core:

• Track A - Classical / Applied Machine Learning: develop, train, evaluate and deploy predictive models (classification, clustering, regression, forecasting, recommendation, computer vision) and support production pipelines
• Track B - AI / GenAI Engineering: build LLM-powered applications, RAG systems and agentic workflows (prompt engineering, tool/function calling, evaluation and guardrails) on top of foundation models

Either specialization is acceptable.

What you'll do

• Translate business problems into mathematical/statistical or AI solutions and deliver production-ready code through CI/CD and code reviews
• Work with business stakeholders and project teams to understand requirements and shape data/AI products
• Deliver project components from analysis and modelling to implementation under the guidance of a Senior Data Scientist or project lead
• Contribute to technical discussions, design decisions, risk identification and solution proposals
• Prototype and implement solutions with increasing autonomy
• Participate in code reviews and knowledge sharing within the Advanced Analytics Community of Practice
• Follow Scrum practices and team standards for reproducibility, testing and engineering quality

Skills & Capabilities

• Bachelor's degree or higher in Mathematics, Computer Science, Statistics, Physics, Engineering or a related quantitative field
• 1-3 years of Data Science / ML experience, including internships or project work
• Python required; SQL is a plus
• Experience writing clean, modular, testable code, including unit testing, packaging and logging
• CI/CD & SDLC knowledge, including Git/Bitbucket, automated testing and versioning
• AWS experience; SageMaker, Bedrock, S3, Lambda, ECS or API Gateway are a plus
• Understanding of MLOps, including deployment, monitoring, versioning and performance tracking
• Awareness of data governance, privacy, security and compliance
• Experience with Agile methodologies and hypothesis-driven problem solving
• Strong communication, ownership and learning mindset

Relocation support isn't available for this job.

PMI operates in line with ethical principles and encourages a SpeakUp culture. Concerns regarding this job offer or recruitment process can be reported to [email protected].

For applicants in Poland, the salary is no less than 14,000 PLN gross monthly.