Data Science Lead

Are you passionate about turning data into powerful consumer experiences? At PMI, we’re transforming our business and shaping a smoke-free future — and data is at the heart of that journey. We’re looking for a Data Science Lead who will be responsible for developing ML & AI-powered solutions that drive personalization, audience targeting, and strategic decision-making. If you thrive in a fast-paced, collaborative environment and want to work with cutting-edge technologies like LLMs and generative AI, this is your opportunity to make a real impact.
 

What You’ll Do:
 

  • Design Smart Audience Strategies
     Segment and profile consumer databases to uncover high-value audiences. Build data-driven frameworks for targeting and personalization that align with business goals and drive measurable impact.
  • Build Scalable ML & AI Solutions
     Develop and optimize large-scale data pipelines using advanced machine learning and AI. Create predictive models for segmentation, personalization, and behavioral forecasting—continuously improving accuracy and performance.
  • Operationalize Insights Across Channels
     Integrate analytics and predictive models into CRM, marketing automation, and digital platforms. Collaborate with cross-functional teams to enable real-time personalization and optimize campaign performance.
  • Lead External Data Acquisition & Partnerships
     Source and manage 2nd/3rd party data from retailers, telcos, digital platforms, and research providers. Own the full process—from defining technical requirements and templates to budget oversight and vendor negotiations.
  • Drive Innovation with Emerging AI Technologies
     Explore and implement cutting-edge AI tools like LLMs, STTs, and generative AI. Prototype and scale solutions for content generation, sentiment analysis, and conversational automation—always with a focus on ethical AI and business value.
  • Be a Thought Leader & Collaborator
     Act as a go-to expert in analytics and AI. Mentor teams, manage external partners, and champion innovation across the organization.

     

Who Are We Looking For?
 

Hard Skills

  • Higher Education in Computer Science, System Analysis, Informatics, Mathematics.
  • 2+ years of experience translating complex business problems into actionable insights through hands-on analytics.
  • 1.5+ years of experience in data science, machine learning, and predictive modeling.
  • Strong SQL and Python skills (e.g., NumPy, Pandas, scikit-learn, Matplotlib).
  • Experience with BI tools like Power BI, Looker or Tableau.
  • Solid understanding of the ML lifecycle — from EDA to production deployment.
  • Experience with LLMs, NLP, STT, or audio analytics is a strong plus.
  • English: Upper-Intermediate or higher.

Soft Skills

  • High level of autonomy, ownership, and accountability.
  • Excellent communication skills — able to explain complex ideas clearly.
  • Passion for solving meaningful problems and improving consumer experience.
  • Curiosity and drive to stay ahead in the fast-evolving analytics and AI landscape.
     

What We Offer
 

Our success depends on our talented employees who come to work here every single day with a sense of purpose and an appetite for progress. Join PMI and you too can:

  • Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: to deliver a smoke-free future.

Required skills experience

Data Analytics 2 years
Data Science 1.5 years
SQL
Python
Python Pandas
Power BI
Tableau
Machine Learning
NLP
LLM

Required languages

English B2 - Upper Intermediate
Ukrainian Native
SQL, Python, Pandas/NumPy/SciPy/Matplotlib, Power BI, Tableau, Machine Learning, Data Science, NLP, LLM
Published 14 November
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