Overview

Data Scientist

– Location: London (Hybrid) 4 days in the officeSalary:

£50,000 to £60,000 + BenefitsCRM | Predictive Modeling | Snowflake | dbtAre you a Data Analyst or mid level

Data Scientist

who’s ready to move beyond dashboards and into real impact? This is your chance to join a global data team that’s driving strategy across marketing, enrolment, and finance, using modern tools and solving real business problems.As a

Data Scientist , you’ll be building predictive models (LTV, lead scoring), developing analytics-ready data marts, and deploying solutions that directly influence decision-making. You’ll work with a cutting-edge stack:

Snowflake, dbt, Tableau, Salesforce, Python, SQL

and collaborate with stakeholders who genuinely value data.What You’ll Be Doing as a Data Scientist

Designing and refining predictive models to guide marketing spend and resource allocationCreating lead scoring systems with drift monitoring and retraining triggersPartnering with marketing and enrolment teams to run A/B tests and measure impactBuilding analytics-ready data marts in dbt/Snowflake with proper documentation and SLAsDeveloping dashboards in Tableau to track ROI, pipeline health, and market segmentationMaintaining pipelines from Salesforce, Marketing Cloud, GA, Facebook, and moreUsing reverse-ETL to ensure your models feed directly into workflows and campaignsWhat We’re Looking For in a Data Scientist

3+ years in data science or analytics, ideally with CRM exposureStrong SQL and Python skillsHas worked with Snowflake, dbt, and cloud platforms (AWS preferred) - If not ability to learn quicklyFamiliarity with LTV modeling and marketing analyticsTableau or similar data viz toolsAbility to communicate insights clearly to both technical and non-technical teamsA proactive mindset and a love for solving real business problemsThis is a brilliant opportunity for a

Data Scientist

who wants to work in a team that values experimentation, iteration, and measurable impact. If you’re a

Data Scientist

who’s ready to build data products that matter - apply now.

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