Data Scientist (Finance Payments)

• 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- 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

• Experience in Finance, Fintech or Payments is desirable

• Proven experience applying Data Science to complex business problems and delivering measurable outcomes

• 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 knowledge of experimental design, A/B testing, statistical inference and quantitative decision-making

• Strong stakeholder management, data visualization and storytelling skills, with the ability to communicate insights and influence business decisions