Junior Data Scientist E-Commerce

Junior Data Scientist E-Commerce
Every day, we connect people and businesses through seamless parcel delivery. At PostNL, we aim to connect what takes us all further and data science plays a crucial role in making every delivery moment fast, effective and joyful.

Why this role is for you:

• Visible work: You realize the mission and strategy of PostNL with data science solutions that are widely used and appreciated by colleagues within E-commerce.
• Challenge: You will join a team that is growing in maturity and tackling more complex issues for E-commerce.
• Great atmosphere: Collaboration, tackling challenges, and having fun at work are key elements of the positive atmosphere in this team.
• Freedom: You have the flexibility to work partly from home and partly at a flexible workspace in our vibrant and state-of-the-art office in the historic Stationspostgebouw, next to Holland Spoor station.
• Responsibility: You have the freedom to largely shape your role and working hours.
• Development opportunities: There are plenty of opportunities to take courses and grow into other roles or departments within the company.

This is your role:

In this role, you'll contribute to the development of artificial intelligence and machine learning (AI/ML) solutions that directly impact our mission: Connecting what takes us all further. You'll play a key role in enabling data-driven decision-making across the E-commerce department contributing directly to our strategy while working closely with data scientists in the team. If you like a challenge, enjoy thinking outside the box, and have a passion for the latest technologies in machine learning and automation, this role is for you.

You will thrive at PostNL if you are result-focused and innovative in providing business value through developing and deploying machine learning solutions, but most of all having a strong understanding of all parts of the machine learning lifecycle.

Your colleagues:

You'll be joining a dynamic and innovative Data Science E-commerce team that thrives on collaboration and shared goals. Our team consists of fantastic data scientists who are not only experts in their fields but also eager to support and learn from one another. We believe in the power of teamwork and foster a culture where your ideas are valued, and your contributions can make a tangible impact on our company strategy. You'll have the opportunity to work alongside people who are as dedicated to advancing data science solutions as they are to building a supportive and inclusive environment. Together, we push the boundaries of what's possible, ensuring that every delivery moment we create brings happiness.

This is what we offer you:

A role full of innovation and work that’s visible across the country. At PostNL, we aim to become the leading e-commerce logistics platform of the future. So we can deliver meaningful moments even smarter, faster, and better. Your mindset and our mission — that’s the perfect match. You can count on a strong package of benefits.

The top benefits of your role:

• Salary between €4.030 and €5.554 gross per month (scale 10) based on 37 hours.
• Hybrid working and flexible hours. Work from home two days or more? You’ll receive a €45 net monthly allowance.
• 8% holiday allowance and 25 vacation days for full-time employment.
• Travel allowance for commuting.
• Strong pension scheme via the PostNL pension fund.
• Laptop and phone.
• Access to learning and development via the PostNL Academy.
• Discounts on travel, events, and products.

What you bring:

You’re detail-oriented, analytical and passionate about quality. You know how to test complex AI systems and how to communicate your findings clearly. You take initiative and enjoy working with others to solve problems and improve results. You also bring:

• Experience with Python and SQL
• Knowledgeable about statistical properties of (good) metrics
• Experience building libraries/modules in Python
• Good understanding of fundamental machine learning concepts
• Knowledge of reporting/visualization techniques (e.g., Plotly, Tableau, Power BI, Streamlit, etc.)
• Willingness to dig deep into problems and behind the scenes data to support troubleshooting and bug fixing

One last thing before you apply:

Do you have questions about this role? Contact our recruiter Micky Dendias via 06-55528532 or micky.dendias@postnl.nl