At PMI, we’ve chosen to do something incredible.
We’re transforming our business and building our future on smoke-free products to deliver a smoke-free future.
With significant change comes great opportunity. Join us to innovate and advance your career across various areas.
PMI is shifting from a tobacco manufacturer to a science and technology-driven consumer organization, creating unique IT projects for all skill levels. Enjoy a start-up environment within a global company, working with cutting-edge technologies like Cloud, APIs, AI, and management practices such as Agile, Design Thinking, and Product Management. Our environment is fast-paced and collaborative, ideal for those seeking to innovate and grow.
Purpose:
Within our Global Data & Analytics Hub, we focus on delivering value through impactful data products, leveraging data and analytics to drive growth and customer value across markets and functions.
The Associate Data Scientist will solve real business problems using advanced analytics, develop data products, and collaborate with cross-functional teams to deliver data-driven solutions, supporting knowledge sharing and platform development.
Principal Responsibilities:
Develop data science solutions for data products.
Monitor and improve the performance and quality of analytics solutions.
Conduct PoC and PoV to test ideas aligned with company goals.
Share knowledge with markets and functions, developing reusable components.
Stay updated on emerging technologies and industry best practices.
Critical Behaviors:
Problem-solving skills.
Effective collaboration with cross-functional teams.
Self-motivation and commitment to company transformation.
Trustworthiness through transparency and honesty.
Ability to work collaboratively, setting aside egos for shared goals.
Skills and Qualifications:
Bachelor’s degree in Computer Science, Business, or Data Science.
Programming: Python, R (plus).
Proficiency in SQL, MPP (plus).
Experience with version control (git) and testing.
Strong foundation in statistics and probability.
Knowledge of data science algorithms: classification, regression, clustering.
Data visualization skills using libraries like matplotlib, seaborn, plotly.
Data management skills: pandas, numpy, scipy.
Experience with AWS cloud services (SageMaker, S3, EC2, EMR, Glue).
Experience with LLM frameworks (LangChain, LangGraph) is a plus.
What We Offer:
Permanent contract with competitive salary and benefits:
Life and health insurance, pension plan.
Hybrid working model.
Opportunities for growth at national and international levels.
Development paths in Controlling and Business Partnering.
International and diverse work environment.
Note: Only online applications are considered.
Before You Apply:
If you have less than 12 months in your current role or are on a Performance Improvement Program, obtain your manager’s approval before applying.
PMI employees can apply via the Internal Careers Portal; external candidates can apply on pmi.com/careers.
Refer to the Employee Guidebook for eligibility details.
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