Lead Data Scientist - Personalisation/CRM in London

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

We’re looking for a Lead Data Scientist to join our growing CRM Team in London. This role will give you the opportunity to have a direct impact on how millions of Wise customers find the perfect products for their needs at exactly the right moment, while evolving your skills by owning production-level machine learning projects from end to end. This is an individual-contributor (IC) role — you'll own technical direction and delivery, not people management.

Your mission:

• Develop a learning system that recommends the right product, to the right customer, at the right moment — and measures whether it worked.

Here’s how you’ll be contributing to CRM:

• Design and maintain the data pipelines and ML-ready tables that power feature generation, model training, inference and impact measurement – with clear ownership of data quality, reproducibility and training-serving consistency.
• Help the CRM tribe find the biggest opportunities for growth and personalisation across the customer lifecycle — onboarding, engagement, activation, retention.
• Own predictive/uplift or recommendation models that decide what to recommend and who to talk to, powering personalised CRM journeys end-to-end.
• Model customer behaviour, product-usage patterns and CRM engagement (email/push clicks) to identify who's likely to churn, who's ready for their next product, and measure how much value a campaign actually created.
• Partner closely with Data Analysts, Data Engineers and CRM Campaign Managers, translating models into levers they can use.
• Build or maintain production models, run experiments, evaluate new ideas, and communicate what models can (and cannot) tell us about how and why CRM drives growth.

This role will give you the opportunity to:

• Have a direct impact — closely partner with the CRM and CRM Analytics team to help ship models that reach every Wise customer through CRM campaigns and personalisation surfaces.
• Own the problems worth solving — form strong opinions on where DS creates the most value and convince the people around you to do what is necessary to help.
• Work autonomously - create a vision of your own while gathering feedback from smart, curious people across Wise.
• Be part of a diverse team - work in a team of Data scientists, Analysts, Engineers and CRM Managers.
• Be part of our mission to make money without borders the new normal.

About you:

• Expert knowledge of Python and able to make and justify design decisions in your code (packaging, testing, config-driven pipelines).
• Expert knowledge of SQL and can write, debug and optimise complex queries against a warehouse.
• Hands-on experience shipping and operating predictive ML models or recommendation systems in production (classification / propensity / churn / next‑best‑action) — end‑to‑end from feature pipelines (SQL or feature store) and ML‑ready training / scoring datasets, through model registries, batch or real‑time inference, and monitoring.
• Designed and analysed A/B tests end‑to‑end — power calculations, choosing the right unit of randomisation, guardrail metrics, interpreting inconclusive results.
• Proficient understanding of statistics — sample size, variance, multiple‑comparisons, Bayesian reasoning.
• Know how to measure the incremental impact of ML models and CRM interventions end‑to‑end.
• Take end‑to‑end ownership with a structured, data‑driven approach.
• Communicate effectively with any audience — translating model choices, uncertainty and trade‑offs into decisions non‑DS teams can act on.
• Operate beyond your direct team — shaping design decisions on the product or engineering side, mentoring other DS and analysts, running cross‑functional projects through to delivery.

Some extra skills that are great (but not essential):

• Hands-on experience with sequential and/or deep‑learning recommender models.
• Experience with uplift modelling and conditional average treatment effects for personalisation.
• Familiarity with dbt, Snowflake, AWS (S3, SageMaker), Airflow, and Trino / data lake stacks.
• Prior CRM / marketing / e‑commerce ML experience.

Office: London, UK

Salary range: GBP 90.5K-127K yearly gross based on experience and interview outcomes.

Key benefits:

• Flexible working - whether it’s working from home, school plays or life admin.
• Stock options in a profitable company.
• Relocation support.
• Generous parental leave.
• Pension scheme.
• Paid sabbatical.
• Loads of development opportunities.
• Sports and wellbeing compensation.
• A fun work environment with social activities and events.
• The opportunity to work with super smart, curious people.

We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. If you’re passionate about learning new things and keen to join our mission, you’ll fit right in.

And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under‑represented demographic.