Senior Finance Data Scientist

Philip Morris International; Albarraque; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Philip Morris International is seeking a Senior Data Scientist in Finance to design, develop and maintain ML-driven finance reporting solutions. You will translate complex analytics into clear financial insights and collaborate across Finance, Reporting, and Analytics teams.

You will build production-grade ML pipelines, deliver explainable dashboards (Power BI), and support governance across global markets with a strong finance acumen.

Qualificações

• Degree in Data Science, Applied Mathematics, Finance, or a related field.
• At least 4 years of experience in Data Science and Advanced Analytics.
• Proven record on time-series forecasting and Gen AI use-cases.
• Strong programming in Python and SQL, with Git and testing practices.
• Solid foundation in statistics and probability; applied data science methods.
• Experience with Power BI dashboards powered by ML outputs.
• Experience with Snowflake ingestion pipelines is a plus.
• Finance or business-critical domain experience is an advantage.
• Excellent communication and collaboration skills for non-technical stakeholders.
• AI-related capabilities are a plus.

Responsabilidades

• Act as a Senior Data Scientist within the Finance domain applying advanced analytics and ML.
• Translate business requirements into end-to-end technical use cases and data models.
• Deliver high-quality DS outputs with clear insights and business context.
• Maintain and refresh Power BI dashboards powered by ML solutions.
• Partner with Finance stakeholders to enable data-driven decision making.
• Support governance and QA for analytics solutions in Finance reporting.
• Build and maintain automated ML pipelines with retraining and monitoring.
• Understand end-to-end ML workflows from development to production.

Conhecimentos

Python

SQL

Gen AI

Time-series forecasting

Statistics

Data wrangling

Communication

Big data

Formação académica

Degree in Data Science

Applied Mathematics or Finance analytics exposure

Finance domain knowledge (advantage)

Ferramentas

Git

Power BI

Snowflake

SageMaker

AWS

CI/CD for ML

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 deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and you will have the space to move your career forward in many different areas/directions.

JOIN US!

The Senior 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.

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.

The team bridges advanced data science with practical business applications, delivering ML enabled Power BI solutions such as volume forecasts and market insights, with a strong emphasis on transparency, explainability, and business trust.

WHAT IS NEEDED TO SUCCEED IN THIS ROLE?

• Degree in Data Science, Applied Mathematics, Finance (with strong analytics/programming exposure), or a related field
• At least 4 years of experience in Data Science and Advanced Analytics
• Proven record on time‑series forecasting initiatives and Gen AI use‑cases (Hands‑on experience building and scaling GenAI‑based products, including conversational interfaces, intelligent assistants, and automated insight and narrative generation solutions)
• 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 (Financial knowledge is an 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
• AI related capabilities and experiences are a plus

HOW CAN YOU MAKE HISTORY WITH US?

• Act as a Senior 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
• Experience building and maintaining automated ML pipelines, including model retraining, monitoring, and performance tracking
• Familiarity with CI/CD frameworks and deployment automation for machine learning applications
• Understanding of end‑to‑end ML workflows, from model development to production integration and monitoring
• Knowledge of AWS services (SageMaker, S3, EC2, EMR, Glue, etc.) for developing and operationalizing data science solutions
• 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

At PMI we run the business in line with ethical principles and encourage SpeakUp culture. We care for equal chances and fair treatment. If you find anything that violates these principles in this job offer or the recruitment process, you may contact our Ethics and Compliance Team at [e-mail]. Read more about Ethics&Compliance at PMI - here.