Lead Data Scientist

Bondora; Logroño; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A leading financial technology company in Spain seeks a Lead Data Scientist. You will shape data science strategies and lead a team to create impactful models, collaborating with multiple departments. This role offers a competitive salary and extensive benefits, supporting your growth while driving the company's success.

Servicios

5 weeks of vacation

Private healthcare compensation

Hobby grant

Mental healthcare support

Share options

Formación

• Proven track record in developing and validating credit models.
• Expertise in regression, classification, and ensemble methods.
• Strong proficiency in Python and SQL.

Responsabilidades

• Oversee the design and implementation of scoring models.
• Guide junior data scientists and foster innovation.
• Ensure model accuracy and compliance with regulations.

Conocimientos

Data Modeling

Regression

Classification

Data Pipeline Management

Python

SQL

Machine Learning

Data Visualization

Agile Methodologies

Herramientas

scikit-learn

TensorFlow

PyTorch

Tableau

Azure

Docker

Kubernetes

Descripción del empleo

At Bondora, our mission is clear : to empower people to enjoy life more while alleviating the stress of managing finances. Founded in 2008, Bondora has proudly served a diverse community of over 1 million customers for an impressive 16 years.

As a rapidly growing financial technology company, we’re reaching new heights with a bold vision. We’re set to acquire a banking license, unlocking a world of possibilities for our customers. Our investment product is available Europe-wide, and we’re actively expanding our loan product footprint to 11 new countries.

Join us on this journey and let’s build the future of finance together!

What is this role about?

As the Lead Data Scientist at Bondora, you’ll play a critical role in shaping our data science strategies and delivering high-impact scoring models. This role is both strategic and hands-on, requiring collaboration across credit, product, engineering, and business teams to integrate advanced data science methodologies into decision-making processes. You’ll lead a team of data scientists, ensuring model accuracy, regulatory compliance, and business alignment while fostering a culture of innovation and continuous learning.

Your main responsibilities include :

• Oversee the design, development, and implementation of scalable scoring models to drive business impact.
• Collaborate with the Credit team to define data science strategies and ensure alignment with overall business objectives.
• Guide and mentor junior data scientists, fostering a culture of innovation, continuous improvement, and best practices in model development and deployment.
• Communicate complex technical concepts to non-technical stakeholders, providing actionable insights and driving data-informed decision-making.
• Establish rigorous testing and validation protocols to ensure model accuracy, reliability, and compliance with regulatory standards.
• Stay on top of industry trends and emerging technologies, integrating them into the team’s workflow to maintain competitive advantage.
• Work closely with product, engineering, and business teams to integrate data science outputs into production systems and strategic initiatives.

What would ensure success in this role?

• Proven track record in developing and validating credit models, ensuring they meet both regulatory requirements and business performance standards.
• Expertise in regression, classification, ensemble methods, and time-series forecasting through both linear and nonlinear modeling.
• Strong proficiency in Python (or R) and SQL, with hands-on experience in libraries like scikit-learn, TensorFlow / PyTorch.
• Experience building and managing robust data pipelines, including ETL processes, data cleaning, and integration across disparate systems.
• Familiarity with deploying machine learning models into production environments using cloud platforms (Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in visualization tools, such as Tableau, to translate complex data insights into clear, actionable business intelligence.
• Knowledge of agile development practices to efficiently manage projects and deliver iterative improvements in dynamic environments.

What can you expect at Bondora?

• Contribute to Bondora’s ambitious goal of reaching 1BN in revenue. Your skills and efforts will directly impact our growth trajectory and shape the future of our company.
• Our employees deserve the best. We recognize our people with a competitive salary and a generous benefits package (5 weeks of vacation, private healthcare compensation, hobby grant, mental healthcare support, share options, and much more!)
• We provide an environment that encourages your personal and professional growth. As we constantly evolve and innovate, you’ll have endless opportunities (and budget) to expand your skills and skyrocket your career.

The next steps

If you have the guts, ideas, and a team vision, apply now!

Our hiring process :

• Meet Iryna, our Recruiter : Your first interview with Iryna will give you the chance to share your experiences and aspirations.
• Assessments : Complete our personality and logic assessments to showcase your strengths through our partner Alva Labs.
• Put your skills to the test : Tackle a home task.
• Collaborate with Rafael, Head of Data Science.
• Engage with Juris, our Chief Credit Officer.
• The celebration begins : If the stars align, receive an offer to join the Bondora team!

Join our team of Bondorians, and let's make it happen!

J-18808-Ljbffr