Data Scientist

• 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; Sage.

Maker, 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 Speak. Up culture. Concerns regarding this job offer or recruitment process can be reported to PMIEthicsand. [email protected] . For applicants in Poland, the salary is no less than 14,000 PLN gross monthly. <div