Data Scientist– Pricing and Revenue Management (KTP Associate)

You will need to feel comfortable working on technical projects at the interface between academic research and commercial practice. Specifically, they will be required to undertake the following:

• Take the lead in identifying opportunities to add value and market competitiveness to the Revenue Management System platform through employing established analytical methods.

• Develop and implement proof-of-concept algorithms tailored to industry requirements.

• Support the commercial launch of the RMS platform, including technical documentation, system handover, and client training.

• Project Management & Stakeholder Management.

• Communication of key ideas to commercial and academic partners, and potentially end users

The successful candidate will have the following skills, experience and attributes:

• Relevant Qualifications in Advanced Analytical methods (PhD or equivalent professional qualifications and experience).

• Analytics coding skills (Python desirable).

• Experience or knowledge of Agile methodologies.

• Interest in understanding and solving complex mathematical and statistical problems.

• Confident communication skills for internal and external stakeholder / customer interaction.

• Although ‘nice-to-have’, previous exposure to revenue management analytics techniques is NOT a prerequisite

The Research Data Scientist will play a crucial role in advancing the business’s revenue management systems and introducing an innovative approach to operating within the travel and leisure sector.