Data Science Team Lead

About Wenrix

Wenrix is the next generation of airfare optimization.

We are a young and fast-growing startup in the field of fintech for travel companies.

Our AI-driven smart prediction technology helps our customers generate new revenue streams from their air volume.

By using our products, we can ensure that tickets are issued at the best possible time and at the best price.

Our research department specializes in crafting the algorithms and techniques that drive Wenrix’s products and revenues.

Wenrix is seeking a Data Science Team Lead with extensive experience in Machine Learning and team leadership to guide our innovative group of scientists.

In this role, you will lead a talented team of data scientists, mentor their growth, and set the technical direction for solving high-impact problems. You’ll balance hands-on research and algorithm development with guiding the team to deliver production-grade AI solutions that fuel Wenrix’s business goals.

What Will You Do?

• Lead and mentor a team of data scientists, fostering technical excellence and professional growth.
• Drive the design and development of AI algorithms from conception to deployment, ensuring scalability and robustness.
• Conduct and review hands-on research, analyzing massive airfare-related datasets and extracting actionable insights.
• Identify opportunities to leverage data science for new products, optimizations, and revenue impact.
• Collaborate closely with engineering and product teams to translate prototypes into reliable production systems.
• Set best practices for model development, deployment, and monitoring, ensuring reproducibility and high standards.
• Play a key role in strategic planning for the data science roadmap and its alignment with Wenrix’s business goals.
• Cultivate a culture of innovation, knowledge sharing, and continuous improvement within the team.

What You Bring

• 7+ years of experience in machine learning, data science, or related fields, with strong expertise in tabular data.
• Proven experience leading and managing teams of data scientists or researchers.
• Proficiency in Python and deep familiarity with modern ML/DL frameworks and statistical methods.
• Hands-on experience building and deploying end-to-end ML/DL pipelines in production environments (EDA, training, inference, monitoring).
• Strong track record of delivering business impact through data-driven solutions.
• Excellent communication skills with the ability to collaborate cross-functionally and influence stakeholders.
• BSc in Mathematics, Statistics, Physics, Computer Science, or a related field; advanced degree (MSc or PhD) is an advantage.