Data Scientist

Mollie; Milano; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading fintech company in Milan is seeking a Data Scientist to join their Revenue Operations Domain. You will develop predictive models and translate complex data into actionable strategies, directly impacting business decisions. The ideal candidate has over 3 years of experience in Data Science, strong Python and SQL skills, and the ability to clearly communicate insights. Join a fast-growing team focused on improving customer acquisition and retention using advanced analytics and machine learning.

Servizi

Regular feedback and performance reviews

Transparent salary reviews

Opportunities for internal promotion

Competenze

• 3+ years of experience in Data Science or Advanced Analytics focused on commercial problems.
• Ability to communicate complex data insights clearly to stakeholders.
• Experience with cloud environments and version control.

Mansioni

• Develop predictive models for churn prediction and customer lifetime value.
• Design and analyze A/B tests to measure impacts of new strategies.
• Translate complex business questions into data problems.

Conoscenze

Python (pandas, numpy, scikit-learn)

SQL

Statistics and machine learning

A/B testing

Communication

Strumenti

GCP

BigQuery

Git

Descrizione del lavoro

Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe.

Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind.

We’re one of Europe’s fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you’re solving problems, building market-leading products or exploring how AI can make work smarter, you’ll have the freedom to create and the trust to deliver.

If you’re ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you.

Your impact

You will join the Revenue Operations Domain, partnering specifically with our Commercial and Growth teams. Your goal isn't just to build models—it's to solve critical business problems that directly affect Mollie’s bottom line.

As a Data Scientist, you will turn complex data into actionable strategies. You will focus on understanding merchant behavior, predicting churn, and optimizing how we acquire and retain customers. You’ll be the bridge between raw data and business strategy, using advanced analytics and machine learning to help our commercial teams make smarter, faster decisions.

What you'll ship

Develop and maintain predictive models for churn prediction, customer lifetime value (LTV), and lead scoring to optimize our commercial funnel.

Design and analyse A/B tests and experiments to measure the impact of new pricing strategies, campaigns, and product features.

Apply uplift modeling to identify which merchants will respond best to specific retention or upsell efforts.

Translate complex business questions into clear data problems, and translate the results back into actionable advice for non-technical stakeholders.

Continuously monitor model performance and impact, ensuring our insights remain accurate and relevant as the market changes.

Adopt best practices and standards for the development of robust ML models.

Collaborate closely with MLEs to prepare your code & model for production using our ML Platform.

What you'll bring

3+ years of experience in Data Science or Advanced Analytics, with a focus on commercial, growth, or product problems.

Strong proficiency in Python (pandas, numpy, scikit-learn) and SQL for data manipulation and modeling.

A solid foundation in statistics and machine learning (regression, classification, clustering, causal inference).

Experience with experimentation (A/B testing) and the ability to distinguish between correlation and causation.

The ability to communicate complex data insights clearly to commercial stakeholders and leadership.

Familiarity with cloud environments (GCP, BigQuery) and version control (Git).

Grow your way

At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms.

You’ll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step.

No matter if you’re aiming for promotion, exploring a different career path or building new skills, you’ll be supported with the tools, trust and opportunities to grow your way.

Unlock your full potential and join us to eliminate financial bureaucracy

If you're excited by the idea of building what’s next, for yourself and for thousands of businesses across Europe, we’d love to hear from you. Apply with your CV (in English) using the form below.

Want a peek behind the scenes? Check out what life at Mollie is really like.

AI at Mollie

We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day.

AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We’re looking for people who are excited to use AI to shape the future of finance with us.

Our Talent Acquisition team and hiring manager will review your application, and respond within 2 weeks.

Step 2

Screening call

If you seem like a Mollie-in-the-making, we’ll invite you to a screening call so we can learn more about each other.

Step 3

Are you the one?

You’ll have two or more interviews. And if it's a highly technical role, we'll also assess the specific skills you'll need.