Overview
Data Scientist – London (Hybrid) 4 days in the office. CRM | Predictive Modeling | Snowflake | dbt
Are 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 allocation
* Creating lead scoring systems with drift monitoring and retraining triggers
* Partnering with marketing and enrolment teams to run A/B tests and measure impact
* Building analytics-ready data marts in dbt/Snowflake with proper documentation and SLAs
* Developing dashboards in Tableau to track ROI, pipeline health, and market segmentation
* Maintaining pipelines from Salesforce, Marketing Cloud, GA, Facebook, and more
* Using reverse-ETL to ensure your models feed directly into workflows and campaigns
What We’re Looking For in a Data Scientist
* 3+ years in data science or analytics, ideally with CRM exposure
* Strong SQL and Python skills
* Has worked with Snowflake, dbt, and cloud platforms (AWS preferred) - If not ability to learn quickly
* Familiarity with LTV modeling and marketing analytics
* Ability to communicate insights clearly to both technical and non-technical teams
* A proactive mindset and a love for solving real business problems
This 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.
Seniority level
* Not Applicable
Employment type
* Full-time
Job function
* Information Technology
Industries
* Higher Education
* Software Development
* IT Services and IT Consulting
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London, England, United Kingdom
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