Machine learning engineer w m d állás, munka

• Set and deliver the growth vision, owning key commercial and patient outcome metrics that drive long-term business success.
• Lead a cross-functional squad of CRM, Product, Copywriting, and Clinical experts - ensuring tight alignment and high-velocity execution.

• Own patient growth across the full lifecycle.
• Deliver measurable impact by meeting quarterly growth and retention targets.
• Scale what works - operationalise proven levers in acquisition, conversion, and retention across multiple markets.

Job Responsibilities Project management and Team leading · Lead teams to leverage data and analysis to make concise and compelling recommendations to clients · Effectively manage the relationship with the client and its suppliers (eg. Media agency) to ensure all required data is collected and...

Lead and project manage the delivery of high-priority and strategically important panel and matter pitches. Ensure all relevant stakeholders and engaged and/or informed appropriately throughout the process....

• Support with marketing and strategy projects
• Competition and market analyses in the field of brand management and marketing
• Creation of presentations and feedback evaluations
• Maintenance of mural boards, documentation, and schedule overviews
• Organization/support of internal events and workshops

Strategic Influencer Acquisition & Management: Identify, recruit, and manage performance-oriented partnerships with creators (YouTube & Instagram). Focus on creators with proven engagement and conversion metrics....

In this role, you will be doing a comprehensive assessment of diverse task categories, encompassing music, video, books, podcasts and home pod evaluations spanning various media domains...

• Lead the Sensory & Consumer Insights (SCI) strategy for the Savory category, driving the annual growth agenda with consumer-centric insights.
• Deliver actionable, compelling insights to both internal teams and key customers, shaping decisions with data-driven clarity.

• Analyse daily, weekly, and monthly KPIs to understand demand drivers, identify gaps, and surface timely opportunities.
• Support weekly trading meetings with clear performance insights and forward-looking forecasts for key stakeholders.