Lead Data Scientist - Finance & Transformation

British Airways; Greater London; On-site; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Staff travel benefits

Discounted standby tickets

Job summary

British Airways is seeking a Principal Data Scientist in Finance & Transformation to lead end-to-end data science initiatives across the business. You'll manage a portfolio of models and tools, coach teams, translate insights to stakeholders, and productionise solutions with cross-functional Digital squads in an Agile environment.

Strong emphasis on ethics and governance across data products. Experience in airline or transport data domains is advantageous, with a numerate degree and advanced

Qualifications

• Experience leading teams applying data science to business problems
• Experience in developing industrialised software, especially ML
• Experience in relevant domains such as airlines/transport (preferred)
• Ability to communicate complex technical concepts to non-technical stakeholders

Responsibilities

• Lead data science teams to deliver a portfolio of products end-to-end
• Scope ill-defined client needs and frame data science solutions
• Ensure quality and timely delivery of data science products
• Report on team performance indicators
• Prototype and productionise ML models and analytics tools
• Collaborate with Digital teams for front-end delivery
• Provide guidance to stakeholders on business impact
• Maintain ethical and compliant model practices

Skills

Data science leadership

Stakeholder communication

Team coaching

Agile Scrum

Git & Python

ML pipelines

Cloud technologies

SQL skills

Excel proficiency

Education

Numerate degree

Tools

Python

Git

SQL

Cloud platforms (AWS/Azure)

Job description

British Airways is seeking a Principal Data Scientist in Finance & Transformation to lead end-to-end data science initiatives across the business. You'll manage a portfolio of models and tools, coach teams, translate insights to stakeholders, and productionise solutions with cross-functional Digital squads in an Agile environment.

Strong emphasis on ethics and governance across data products. Experience in airline or transport data domains is advantageous, with a numerate degree and advanced