Data Scientist (Finance Payments)

Booking.com; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Free access to Headspace for you and你的

Global Employee Assistance Program

Life 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

Working from Home Furniture and Erg.支持

Working from Abroad - up to 20 days/yr

Discounts & Wallet credits

Booking Genius Level 3 upgrade

Friends & Family Booking.com discount

Job summary

Booking.com is seeking a Data Scientist II to own end-to-end data science solutions for Finance, Payments and Accounting. You will partner with business and data platform teams to translate complex problems into data-driven solutions, applying GenAI techniques to support decision-making and operational improvements.

The role requires strong SQL and Python/R skills, experience with Snowflake/Spark/dbt, and the ability to communicate insights to stakeholders while mentoring junior colleagues.

Qualifications

• 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.

Responsibilities

• Own the design and delivery of end-to-end Data Science and Analytics solutions for Finance, Payments and Accounting, from ideation through implementation.
• Partner with business stakeholders, product and data platform teams to translate complex problems 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 techniques to solve complex business problems and generate actionable insights.
• Communicate complex analytical and GenAI concepts clearly to business stakeholders and influence decision-making.

Skills

SQL

Python

R

Data visualization

Stakeholder management

Tools

Snowflake

Spark

dbt

ETL

Git

Job description

• 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 preferredExperience in Finance, Fintech or Payments is desirableProven experience applying Data Science to complex business problems and delivering measurable outcomesStrong SQL skills and proficiency in Python or R, with experience preparing and modelling large datasetsFamiliarity with modern data platforms and workflows such as Snowflake, Spark, dbt, ETL and data-quality practicesStrong knowledge of experimental design, A/B testing, statistical inference and quantitative decision-makingStrong stakeholder management, data visualization and storytelling skills, with the ability to communicate insights and influence business decisions