Senior Data Scientist - Travel Analytics & ML Leader

Jet2.com Limited; Leeds; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid working 2 days/week

Annual pay reviews

Flight discounts for Jet2.com flights

Life assurance 3x salary

Job summary

Jet2.com Limited is seeking an experienced Senior Data Scientist to join its Data Science team in the UK. You will deliver high-impact data science initiatives and collaborate with colleagues across marketing, pricing, customer insights and operations to optimise business processes.

You will apply ML and statistical modelling, explain results to stakeholders, and drive data-driven decision making while keeping up to date with evolving technologies and governance requirements.

Qualifications

• Highly numerate with a statistical background.
• Strong knowledge of SQL and Python (desirable).
• Experience delivering data science initiatives from concept to production.
• Comfort gathering data from multiple sources and cleansing/enriching data.
• Understanding of data governance and data quality.

Responsibilities

• Deliver key data science initiatives with measurable business value.
• Collaborate with cross-functional teams across the business.
• Work across the customer journey to inform marketing, pricing and operations.
• Engage stakeholders and break initiatives into measurable tasks.
• Apply ML and statistical modelling to identified initiatives.
• Tell compelling stories and provide actionable business recommendations.
• Ensure compliance with policy and regulatory requirements.

Skills

SQL

Python

Storytelling

Tools

SageMaker

Bedrock

Snowflake

AWS Cloud

Job description

Jet2.com Limited is seeking an experienced Senior Data Scientist to join its Data Science team in the UK. You will deliver high-impact data science initiatives and collaborate with colleagues across marketing, pricing, customer insights and operations to optimise business processes.

You will apply ML and statistical modelling, explain results to stakeholders, and drive data-driven decision making while keeping up to date with evolving technologies and governance requirements.