Lead Data Scientist - Personalisation/CRM

Salary: £66,000 - 106,000 per year

Requirements:

• Expert knowledge of Python, including the ability to make and justify design decisions in code such as packaging, testing, and config-driven pipelines.
• Expert knowledge of SQL, with the ability to write, debug, and optimise complex warehouse queries.
• Hands-on experience shipping and operating predictive ML models or recommendation systems in production end to end.
• Experience with feature pipelines, ML-ready training and scoring datasets, model registries, batch or real-time inference, monitoring, and data-quality checks.
• Strong understanding of model selection, including when to use gradient boosting, neural networks, linear models, or blended approaches.
• Experience designing and analysing A/B tests end to end, including power calculations, randomisation, guardrails, and interpreting inconclusive results.
• Proficient understanding of statistics, including sample size, variance, multiple comparisons, and Bayesian reasoning.
• Ability to measure incremental impact of ML models and CRM interventions and translate results into business decisions.
• Structured, data-driven approach with end-to-end ownership and the ability to define where and how a model fits into the stack.
• Strong communication skills with the ability to explain model choices, uncertainty, and trade-offs to non-DS stakeholders.
• Ability to operate beyond the direct team, shape design decisions, mentor others, and lead cross-functional projects through to delivery.
• Nice-to-have: hands-on experience with sequential or deep-learning recommender models.
• Nice-to-have: experience with uplift modelling and conditional average treatment effects.
• Nice-to-have: familiarity with dbt, Snowflake, AWS, Airflow, and Trino or data lake stacks.
• Nice-to-have: prior CRM, marketing, or e-commerce ML experience.

Responsibilities:

• Design and maintain the data pipelines and ML-ready tables that power feature generation, model training, inference, and impact measurement.
• Own data quality, reproducibility, and training-serving consistency.
• Identify the biggest opportunities for growth and personalisation across the customer lifecycle, including onboarding, engagement, activation, and retention.
• Own predictive, uplift, or recommendation models that decide what to recommend and who to talk to.
• Model customer behaviour, product-usage patterns, and CRM engagement to identify churn risk, next-best-product opportunities, and campaign value.
• Partner closely with Data Analysts, Data Engineers, and CRM Campaign Managers to translate models into actionable levers.
• Build or maintain production models, run experiments, evaluate new ideas, and communicate what models can and cannot tell us about CRM-driven growth.
• Help ship models that reach customers through CRM campaigns and personalisation surfaces.
• Form opinions on where Data Science creates the most value and drive the necessary actions to deliver impact.
• Work autonomously and help shape a vision with the team.
• Collaborate with a diverse team of Data Scientists, Analysts, Engineers, and CRM Managers.

Technologies:

• Airflow
• AWS
• CRM
• Support
• Marketing
• Model Training
• Python
• SQL
• Snowflake
• dbt
• Cloud
• Machine Learning
• Network

More:

We are Wise, a global technology company on a mission to make money without borders the new normal. We help people and businesses send money abroad, spend internationally, and make and receive cross-border payments more easily and at lower cost. This Lead Data Scientist role is based in London and sits within our growing CRM team as an individual-contributor position with ownership of technical direction and delivery. We offer a salary range of GBP 90.5K-127K yearly gross, depending on experience and interview outcomes, along with flexible working, stock options in a profitable company, relocation support, generous parental leave, a pension scheme, paid sabbatical, development opportunities, sports and wellbeing compensation, and a fun, collaborative environment with smart, curious people. We are committed to diversity, equity, and inclusion and welcome applicants from all backgrounds.

last updated 34 week of 2026