Data Science Manager overseeing Data Science and ML Engineers at Wayflyer. Leading ML lifecycle from data preparation to deployment while collaborating with cross-functional teams.
Responsibilities
Lead a team of 4+ Data Science and ML Engineers.
Oversee the end-to-end ML lifecycle: from dataset annotation and model training to deployment, monitoring, and infrastructure maintenance.
Partner with Product and Engineering leads to define and execute a data science roadmap aligned with business growth and risk assessment.
Implement best practices for reproducible data pipelines, automated testing, and documentation to ensure system reliability.
Translate complex technical findings into actionable insights for VPs and C-suite executives.
Ensure the team leverages AI and LLMs as accelerants to producing high quality outputs rather than as a crutch.
Requirements
5+ years in Data Science/ML, with 2+ years in a formal management or lead role.
A proven track record of building and maintaining production ML systems yourself.
Advanced proficiency in Python and SQL. You should have the core engineering skills required of a Software Engineer.
Practical experience with model deployment, monitoring, and orchestration tools (e.g., Airflow, Dagster).
Ability to translate business challenges (specifically in risk or growth) into technical data solutions.
Benefits
25 days of paid annual leave
Access support and resources to support your wellbeing, including our *Wellbeing @ Wayflyer* ERG.
Stay covered with private healthcare, life insurance, and critical illness cover.
Our pension plan helps you build a strong foundation for tomorrow, starting today.
We offer generous parental and adoptive leave, including 6 months of paid leave for Primary Caregivers and 3 months of paid leave for Secondary Caregivers.
With our equity scheme, you're not just an employee; you're a stakeholder in our journey.
Enjoy the freedom to work remotely from anywhere in the world for up to 60 calendar days a year.
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