At Nationale-Nederlanden, it's the person who makes the professional. Following the company's strategy, we are looking to strengthen our structure within our central offices located in Alcobendas, in a hybrid, flexible, and accommodating work environment.
On this occasion, we offer a vacancy for a Data Scientist for the Data – Advanced Analytics, AI and Data Monetization team.
What is the mission of the role?
To contribute to the development and operationalization of advanced analytics initiatives that generate measurable business value. This role combines strong technical expertise with a business-oriented mindset and a proactive attitude toward team enablement, MLOps excellence, and responsible AI practices.
What will you do?
Design, develop, and deploy machine learning models for specific business use cases (e.g., agent scoring, fraud detection, CLTV).
Perform feature engineering and data preparation for modeling.
Drive improvements in MLOps practices within Databricks, ensuring scalable, maintainable, and automated model lifecycles.
Work closely with business stakeholders to identify analytical opportunities and translate them into actionable solutions.
Collaborate in the tracking and measurement of business value generated by data science initiatives.
Participate in governance processes with second-line teams to ensure AI assessments are approved and models are developed ethically, minimizing bias and ensuring fairness.
Document and communicate findings clearly to both technical and non-technical audiences.
Contribute to Generative AI initiatives in coordination with the Data Science Hub, AI Engineers and Cloud teams.
Provide ad-hoc descriptive analytics to support decision-making when needed.
What are we looking for?
Degree in a technical field and a Master’s in Data Science (preferred).
Minimum of 3 years of experience in machine learning model development and deployment. Ideally 5+ years of experience.
Strong programming skills in Python and experience with Spark and SQL.
Hands-on experience with Azure, Databricks, GitHub/Azure DevOps, and MLOps practices.
Experience in the insurance industry is a plus.
Familiarity with data privacy, security, and responsible AI principles.
Excellent communication and presentation skills.
Advanced English skills (spoken and written).
Ability to work in dynamic, cross-functional, and international environments.
What do we offer?
We work with a hybrid model.
Starting financial aid so you can equip your workspace at home.
Allowance and telework subventions.
Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time.
We hire life insurance and a pension plan for all our employees.
We establish objectives bonus as a performance reward.
You can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes.
Get to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas and trainings.
We care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.
We care about your wellbeing. We have a Wellness Program available.
We are digital and we love technology. Also, every team works under agile methodology.
If you believe your profile is a good match and you like who we are, don’t hesitate to apply to our openings — we’re looking forward to meeting you!
