Data Scientist

Who you are

• Experience applying GenAI methods and building production-scale agents to develop intelligent analytics and data-driven solutions for complex business problems; domain experience in finance or fintech is preferred
• Proven experience applying Data Science to complex business problems and delivering measurable outcomes
• Strong knowledge of experimental design, A/B testing, statistical inference and quantitative decision-making
• Strong SQL skills and proficiency in Python or R, with experience preparing and modelling large datasets
• Familiarity with modern data platforms and workflows such as Snowflake, Spark, dbt, ETL and data-quality practices
• Strong stakeholder management, data visualization and storytelling skills, with the ability to communicate insights and influence business decisions
• Experience in Finance, Fintech or Payments is desirable

What the job involves

• The successful candidate will join the Data Science & Analytics team within the Finance Payments Accounting organization
• In this role, the Data Scientist II will own and deliver end-to-end data science solutions supporting Payments and Accounting
• They will partner closely with business and technical stakeholders to translate complex finance and accounting problems into analytical and modelling approaches, delivering actionable insights and data-driven solutions
• The role will involve applying statistical and predictive analytics, as well as emerging GenAI techniques, to address business problems across Payments and Accounting
• The Data Scientist II will also explore and apply GenAI capabilities to enhance the analysis and interpretation of Accounting data and develop intelligent, scalable solutions that improve decision-making and business processes
• Data Scientist II takes full ownership of the design and delivery of data science solutions, from ideation to implementation
• They work independently on tasks like data consumption, preparation, and the translation of business problems into data stories
• This role involves applying suitable statistical data analysis and modeling methods to solve complex business problems
• Data Scientist II works within the scope of their team, and occasionally across partner teams, to inform business decisions
• They independently identify and manage stakeholders, effectively communicating complex analysis results
• As experienced members of the team, they provide guidance to junior colleagues, act as force multipliers, and contribute significantly to their community
• They stay updated about the larger data ecosystem and the goals of their track and business unit, ensuring the quality of their work through peer review
• They play a key role in influencing business decisions within their specific area
• Own the design and delivery of end-to-end Data Science and Analytics solutions for Finance, Payments and Accounting, from ideation through implementation
• Partner closely with business stakeholders, product and data platform teams to understand complex Accounting and Finance problems, translate them into data-driven solutions, and deliver measurable business value
• Lead the identification, development and implementation of GenAI solutions and intelligent agents to enhance Accounting processes, analytics, insights and decision-making
• Apply statistical, predictive and other Data Science and Analytics techniques to solve complex business problems and generate actionable insights
• Identify opportunities to leverage GenAI to elevate existing Data Science and Analytics capabilities, improve efficiency, and enable new ways of working within the Accounting function
• Work collaboratively with business, Data Science and Data Engineering stakeholders to ensure solutions are scalable, reliable and fit for production
• Responsible for designing and interpreting quantitative experiments, where appropriate, to objectively guide business decision-making
• Communicate complex analytical and GenAI concepts and outcomes clearly to business stakeholders and influence decision-making
• Act as a force multiplier for the team by sharing Data Science, Analytics and GenAI expertise and supporting the development of junior colleagues

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options