Senior Data Scientist (Ref: 198245)

We're partnered with a global consumer business as they continue to invest heavily in their European Data & Analytics capability. Following the regionalisation of the function from North America, this role will play a key part in supporting marketing and customer analytics initiatives across multiple European markets.

This is an opportunity to join at the beginning of an exciting growth journey, working closely with senior marketing and business leaders while helping shape how data science is leveraged across the region.

As a Senior Data Scientist, you'll sit within the Global Data & Analytics team, partnering closely with Marketing, Media, Digital and Commercial stakeholders. The focus of the role is to use data science and advanced analytics to improve customer acquisition, retention, loyalty and marketing effectiveness.

You'll be responsible for delivering actionable insights that drive business decisions, whilst remaining hands-on with modelling and analytical work.

Key areas of focus include:

• Customer segmentation and profiling

• Campaign effectiveness analysis

• Marketing measurement and optimisation

• Customer retention and churn modelling

• Customer Lifetime Value (CLV) analysis

• A/B testing and experimentation

• Media Mix Modelling (MMM)

• Predictive analytics and machine learning

• Automation and analytics process improvement

Alongside the technical element, you'll be expected to confidently communicate findings to senior stakeholders, translating complex analytical outputs into clear commercial recommendations.

We're keen to engage with Data Scientists who combine strong technical capability with excellent business-facing communication skills.

You'll likely offer:

• Experience operating as a Data Scientist or Senior Data Scientist within a customer-focused environment

• Strong Python and SQL skills

• Experience building statistical and machine learning models

• A background in Customer Analytics, Marketing Analytics, CRM Analytics or Commercial Analytics

• Experience delivering insight around campaign performance, segmentation, retention or customer value

• The ability to engage and influence senior stakeholders across the business

• Strong communication and presentation skills with non-technical audiences