YUGENOX·JOBS

Data Scientist

Sailpeak · Brussels

hybridfull-timeData & AnalyticsConsulting

About the role

About SailPeak

At Sailpeak, we are a Brussels-based consulting firm specializing in guiding Banking & Insurance firms through the complexities of digital transformation.

With expertise in Business Strategy, Data & AI, and Digital Transformation, Sailpeak helps clients navigate the ever-evolving landscape and reach new heights of success.

🤖 About the Role

We are looking for a Data Scientist with 1-3 years of experience, working on AI-related projects to join our growing team.

In this role, you will drive digital strategy for top-tier banking clients by delivering high-impact projects focused on data analysis, performance optimization, and dashboard creation. You will play a pivotal part in expanding our internal AI capabilities, gaining hands-on experience with cutting-edge machine learning models to build innovative solutions for the financial services sector.

📊 You will:

- Assist in data collection, cleansing, and transformation from diverse banking and fintech data sources, ensuring high-quality inputs for advanced analytics.

- Contribute to Machine Learning and Deep Learning projects, gaining exposure to AI models, intelligent agents, and digital assistants applied within the financial services sector.

- Support the development of data-driven digital strategies and AI-powered campaigns tailored to banking clients.

- Conduct A/B testing, hypothesis validation, and performance analysis of digital and AI-driven initiatives in the banking domain.

- Create and maintain interactive dashboards, visualizations, and reports to monitor key metrics for digital banking strategies and AI adoption.

- Collaborate with cross-functional and agile teams to optimize campaign segmentation, targeting, and personalization, leveraging predictive analytics.

- Participate in data interpretation and storytelling, contributing to actionable recommendations that support banking digital transformation and AI initiatives.

📊 You bring to the table:

- 1-3 years of experience as a Data Scientist

- A Master’s degree in Data Science, Statistics, Banking, Digital Transformation, or a related field.

- A strong eagerness to work with data, AI, and machine learning models, and to grow expertise in digital transformation within banking.

- Basic knowledge of data analysis and visualization tools such as Python, SQL, Power BI, Tableau, or VBA.

- Familiarity with digital banking platforms, fintech ecosystems, and emerging AI technologies is a plus.

- An interest in AI, intelligent agents, and digital assistants, and how they reshape customer journeys and operational efficiency in financial services.

- Strong communication and data storytelling skills to translate insights into value for digital strategy and AI adoption.

🗣️ Language Skills

Fluency in English and French/Dutch

🤹 Other Skills

- Experience with Scrum or Agile methods is a great plus for us.

- We are looking for proactive problem-solvers

- You’ll be working independently & autonomously

- Passion for growing, building, and continuous learning, especially around the developments within AI and Data Science

🎁 What’s in it for you

💸 A competitive salary and benefits package.

🦾 Working on cutting-edge projects with leading banking clients, in a startup environment

💿 Exposure to a wide array of AI and data science technologies.

🫂 Mentorship from Directors and Partners with backgrounds from renowned companies like Google, PayPal, Semetis, and Sia Partners.

🧑‍🔬 The Process

- Step 1: 30-minute call with our Talent team: focusing on your current situation, motivation, experience, and practicalities

- Step 2: 30-minute deep dive into the projects you’ve worked on with one of our founders

- Step 4: Onsite Business Case in our office

- The Offer

Are you ready to embark on a rewarding career in management consulting with Sailpeak?

Text as published by Sailpeak. We don't edit postings; apply and ask questions on the employer's site.

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Posted
Nov 30, 2025 (11 months ago)
First seen by us
Nov 7, 2026
Still listed
Nov 11, 2026
Source
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