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About the Role
We're hiring a Senior Data Scientist to join Planet's AI team and lead our commercial data science work. You'll partner with Sales, Marketing, Customer Success, and Finance to turn customer and revenue data into models and insights that directly move the top line — reducing churn, surfacing cross-sell opportunities, and giving the business a clear view of what's driving revenue. This is a hands-on, high-impact role for someone who enjoys working close to the business, owns problems end-to-end, and can balance rigorous modelling with pragmatic delivery.
Responsibilities
- Build, deploy, and iterate on customer churn prediction models, identify leading indicators, segment at-risk cohorts, and work with Customer Success on retention playbooks.
- Develop propensity models and next-best-action recommendations to help commercial teams prioritize accounts and product conversations.
- Design attribution frameworks across marketing channels, sales motions, and product touchpoints, and build data products for leadership to see what's driving revenue.
- Design and analyze A/B tests and quasi-experiments for commercial initiatives, bringing statistical rigor to business decisions.
- Take models from notebook to production, owning the full lifecycle: feature engineering, training, deployment, monitoring, and retraining.
- Translate ambiguous commercial questions into well-scoped analytical problems and communicate findings clearly to non-technical audiences.
Requirements
- 5+ years in applied data science, with significant experience on commercial problems (churn, LTV, propensity, attribution, pricing, or similar).
- Strong SQL and Python (pandas, scikit-learn, statsmodels).
- Comfortable building production-grade code, not just notebooks.
- Hands-on experience with Snowflake or a comparable cloud data warehouse (BigQuery, Redshift, Databricks).
- Experience deploying models on AWS (SageMaker, Lambda, ECS, or similar).
- Solid grounding in statistics, experimentation, and causal inference.
- Track record of shipping models that are actually used by the business.
- Excellent communication skills, able to explain models to non-technical stakeholders and debug technical issues.
Skills
- SQL
- Python
- pandas
- scikit-learn
- statsmodels
- Snowflake
- BigQuery
- Redshift
- Databricks
- AWS SageMaker
- AWS Lambda
- AWS ECS
- Statistics
- Experimentation
- Causal Inference
- n8n
- Airflow
- Prefect
- Dagster
- Payments
- Fintech
- SaaS
- Recurring-revenue businesses
- DBT
- LLMs
- GenAI
Work Type
- Hybrid
Experience Level
- Senior
- 5+ years
About the Company
- Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers.
- We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day.
- Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time.
- Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.
Equal Opportunity
- Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.
- Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.