Data Scientist

Philip Morris International; Albarraque; Presencial; EUR 42 000 - 64 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Life and Health insurance

Pension Plan

Education allowance

Development opportunities

Growing within the Company

Resumo da oferta

Philip Morris International is seeking a Finance Data Scientist to operate at the intersection of advanced analytics and finance, designing ML‑driven reporting solutions and translating complex insights into trusted financial decisions for business stakeholders.

You will maintain and enhance BI dashboards (Power BI) powered by ML, forecast volumes, and collaborate with Finance, Reporting, IT and Data platforms to support governance and data quality.

Qualificações

• Degree in Data Science, Applied Mathematics, Finance or related field.
• Strong programming in Python and SQL with versioning (Git).
• Solid statistics foundation; hands-on ML methods experience.
• Experience with BI tools, preferably Power BI; ML‑powered dashboards.
• Experience with Snowflake and data ingestion pipelines is a plus.
• Excellent communication and cross‑functional collaboration skills.

Responsabilidades

• Apply advanced analytics and ML to Finance reporting solutions.
• Translate business requirements into end‑to‑end data models and analytics use cases.
• Deliver high‑quality ML outputs with clear business context and insights.
• Maintain and refresh Power BI dashboards powered by ML solutions.
• Collaborate with Finance stakeholders to enable data‑driven decisions.
• Support governance and quality assurance for analytics in Finance reporting.
• Collaborate across Finance, IT, and Data platforms on cross‑functional initiatives.

Conhecimentos

Python

SQL

Git

Testing

Statistics

Pandas

Numpy

Scipy

Power BI

Snowflake

Communication

Collaboration

Data wrangling

Formação académica

Data Science degree

Applied Mathematics degree

Finance degree

Ferramentas

Git

Descrição da oferta de emprego

MAKE HISTORY WITH US! At PMI, we’ve chosen to do something incredible. We’re totally transforming our business, and building our future on smoke‑free products with the power to improve the lives of a billion smokers worldwide. With huge change, comes huge opportunity. Wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions, and the space to move your career forward in endlessly different directions.

Role Purpose

The Finance Data Scientist operates at the intersection of advanced analytics, finance domain expertise, and business decision‑making. The role focuses on designing, developing, maintaining, and enhancing machine‑learning‑driven finance reporting solutions, while translating complex analytical concepts into clear, reliable, and trusted financial insights for business stakeholders. This position requires strong PMI finance acumen, deep technical expertise in data science, and the ability to collaborate effectively across Finance, Reporting, and Analytics teams.

Key Responsibilities

• Act as a Data Scientist within the Finance domain, applying advanced analytics and machine learning techniques to Finance Reporting Solutions.
• Translate business and finance requirements into end‑to‑end technical use cases, data models, and analytical solutions, including the development of new analytics and ML use cases.
• Deliver high‑quality data science outputs aligned with agreed standards, while providing clear insights, interpretation, and business context to build trust in analytical solutions.
• Maintain, enhance, and refresh BI dashboards (e.g. Power BI) powered by ML solutions, including volume forecasting and financial projections.
• Partner closely with Finance stakeholders, explaining complex technical concepts in clear, business‑friendly language to enable data‑driven decision‑making.
• Support governance processes and quality assurance for analytics solutions used in Finance reporting.
• Collaborate effectively within the Finance Reporting Solutions team and across cross‑functional initiatives spanning Finance, Advanced Analytics, IT, and Data platforms.
• Demonstrate strong problem‑solving, collaboration, and critical‑thinking skills, contributing to company transformation through motivation, transparency, trust, and a shared purpose.

Qualifications

• Degree in Data Science, Applied Mathematics, Finance (with strong analytics/programming exposure), or a related field.
• Strong programming skills in Python and SQL, with experience in software versioning (Git) and testing practices (unit and integration testing).
• Solid foundation in statistics and probability, with hands‑on experience applying core data science methods, including classification, regression, clustering, and ranking.
• Strong data management and data wrangling skills, including handling large datasets and performing data cleaning using Python libraries such as pandas, numpy, scipy, and related tools.
• Experience working with BI tools (e.g. Power BI), particularly dashboards powered by machine‑learning or advanced analytics outputs (Power BI considered a strong plus).
• Experience working with Snowflake, including the creation of data ingestion pipelines (strong plus).
• Proven experience as a Data Scientist in a Finance or business‑critical domain, with strong PMI finance acumen and understanding of financial planning, controlling, and reporting concepts (strong advantage).
• Excellent communication and collaboration skills, with the ability to clearly explain technical solutions and assumptions to non‑technical stakeholders, present insights in a structured way, and work effectively in cross‑functional and global teams.
• Strong ownership mindset, with attention to quality, consistency, reliability, and trustworthiness of analytics outputs.

What You’ll Be Part Of

You will join the Finance Advanced Analytics / Finance Reporting Solutions team — a global analytics community leveraging Machine Learning and Artificial Intelligence to enhance Finance decision‑making. The team bridges advanced data science with practical business application, delivering ML‑enabled Power BI solutions such as volume forecasts and market insights, with a strong emphasis on transparency, explainability, and business trust. In this role, you will work on production‑grade ML solutions used across markets, directly influencing Finance reporting quality and decision‑making. You will help build trust through strong financial storytelling and contribute to the development of new Finance analytics use cases within a growing global capability.

What We Offer

• Permanent local contract, with a competitive salary plus Tabaqueira’s employee benefits, including: Life and Health insurance;
• Pension Plan;
• Education allowance;
• A challenging work environment, with great development opportunities;
• Growing and development opportunity within the Company.

Things to Know Before You Apply

• Relocation support is not available for this job.

Important Information

Only online applications will be considered. Only selected candidates will be contacted. CVs must be submitted in English.