Data Scientist | Up to £60,000 | Learn Snowflake + DBT | Edtech

Data Scientist
Location: London (Hybrid) 4 days in the office
Salary: £50,000 to £60,000 + Benefits

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 modelling and marketing analytics
• Tableau or similar data viz tools
• 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.