Lead Data Scientist PersonalisationCRM

Were 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 youll own technical direction and delivery not people management.

Your mission: 

Wise has pioneered new ways for people to move and manage money across borders. Once someone joins Wise our CRM tribe makes sure every customer discovers the products that actually help them a card if they travel multi-currency balances if they hold FX a current account if they use Wise for day to day banking. Your mission is to develop a learning system that recommends the right product to the right customer at the right moment and measures whether it worked.

Heres how youll be contributing to CRM:

• You will 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.

• You will help the CRM tribe find the biggest opportunities for growth and personalisation across the customer lifecycle onboarding engagement activation retention.

• You will own predictive/uplift or recommendation models that decide what to recommend and who to talk to powering personalised CRM journeys end-to-end.                                  

• You will model customer behaviour product-usage patterns and CRM engagement (email/push clicks) to identify whos likely to churn whos ready for their next product and measure how much value a campaign actually created.

• You will partner closely with Data Analysts Data Engineers and CRM Campaign Managers translating models into levers they can use.

• Your average day will include building or maintaining production models running experiments evaluating new ideas and communicating 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 you will 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 you will not just be handed a backlog. You will 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 - we believe people are most empowered when they can act autonomously. So rather than telling you what to do youll work with your team to create a vision of your own. Of course you can always gather feedback from smart curious people across Wise but youll have the freedom to make your own calls.

• Be part of a diverse team - You will 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: 

• You have expert knowledge of Python and are able to make and justify design decisions in your code (packaging testing config-driven pipelines).

• You have expert knowledge of SQL and can write debug and optimise complex queries against a warehouse.  

• You have 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 with sound data-modelling practices and data-quality checks along the way. You know when to reach for gradient boosting neural networks linear models or a blend.

• You have designed and analysed A/B tests end-to-end power calculations choosing the right unit of randomisation guardrail metrics interpreting inconclusive results.

• You have a proficient understanding of statistics sample size variance multiple-comparisons Bayesian reasoning.

• You know how to measure the incremental impact of ML models and CRM interventions end-to-end defining success and guardrail metrics designing and powering A/B tests choosing the right unit of randomisation quantifying uncertainty accounting for multiple comparisons and interpreting inconclusive results to inform business decisions.

• You take end-to-end ownership with a structured data-driven approach cutting through vagueness to frame the business problem prioritising the value you can add and defining precisely where and how a  model fits into the stack.

• You communicate effectively with any audience translating model choices uncertainty and trade-offs into decisions non-DS teams (Product Marketing CRM Ops Compliance) can act on and visualising data clearly along the way.

• You operate beyond your direct team shaping design decisions on the product or engineering side mentoring other DS and analysts spawning and running cross-functional projects through to delivery educating the wider company on what DS can do and keeping current with developments in your areas (recommenders uplift causal inference).

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

• You have hands-on experience with sequential and/or deep-learning recommender models two-tower architectures transformer-based rankers or sequence embeddings.

• You have experience with uplift modelling and conditional average treatment effects for personalisation.  

• You are familiar with dbt Snowflake AWS (S3 SageMaker) Airflow and Trino / data lake stacks.

• You have prior CRM / marketing / e-commerce ML experience customer lifecycle segmentation campaign attribution contact strategy optimisation.

Office: London UK

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

Key benefits:

• Flexible working - whether its working from home school plays or life admin we get that flexibility is essential and youre trusted to do the right thing and be responsible

• 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

Additional Information :

Were people without borders without judgement or prejudice too. We want to work with the best people no matter their background. So if youre passionate about learning new things and keen to join our mission youll fit right in.

Also qualifications arent that important to us. If youve got great experience and youre great at articulating your thinking wed like to hear from you.

And because we believe that diverse teams build better products wed especially love to hear from you if youre from an under-represented demographic.

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what its like to work at Wise visit .

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Remote Work :

No

Employment Type :

Full-time