junior data scientist

The total transformation we’re going through means that there are unique projects here to match all levels of skills and ambitions – from pace-setting global pilot projects to vital local updates. Whether you want to pursue a personal passion or build an international career, there’s space here to develop in any number of directions.

To join us you’ll need to be driven and equally happy whether you’re taking the strategic view or diving deep into processes. We'll make sure you're set up to succeed whatever your project is, our culture is agile and collaborative, and we genuinely believe our people are some of the best you’ll ever work with.

We are currently looking for talented individuals who excel in data analytics and are passionate to analyze large amounts of raw information, aiming to improve the IQOS Consumer Journey. Key part of the role is to identify predictive actions, synthetize the analysis into business insights and drive impactful decision making!

Your ‘day to day’ tasks

• Use statistical methods in large databases and unstructured datasets to identify different milestones of IQOS consumer journey
• Build multiple customer segmentation for acquisition and retention strategies
• Leverage data to find business opportunities and develop creative solutions by employing data science methods such as statistical models, machine learning, pattern recognition, optimization algorithms or other complex methodologies 
• Model and predict future behavior of IQOS customers, develop and analyze relevant experiments
• Distil real-time 360 consumer data and turn them into insights that will foster fast business action
• Leverage on a broad set of different metrics, synthesize and extract meaningful outcomes
• Visualize dissimilar data and communicate them in a sharp and vivid manner across different stakeholders
• Cooperate with third party vendors and work with partners on strategic KPIs development
• Be the changemaker by identifying, and challenging status-quo while advocating use of statistically sound decision-making processes.
• Work with structured and semi-structured data from different data sources

Who we’re looking for

• Educational background in Maths, Statistics, Data Science, Computer Science, Engineering or other quantitative discipline or equivalent experience (MSc or PhD degree will be considered an asset)
• 1-2 years of hands-on experience in Data Science or Applied Statistics for business problem solving (Descriptive, Exploratory, Predictive) such as segmentation, propensity modelling (churn/cross-sell), time-series forecasting, text analytics, etc.
• Proficiency in R or Python.
• Good knowledge of relational databases and SQL is mandatory
• Experimental design experience
• Familiarization with at least one BI suite
• Strong visualization and communication skills
• Experience with exploratory data analysis, testing and modelling
• Strong business acumen, analytical and problem-solving skills

What we offer

Our success depends on colleagues who come to work 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 improve the lives of a billion smokers.

To join our growing team apply no later than March 26th.