Data Scientist Up to £60,000 Learn Snowflake + DBT Edtech
Posted 8 hours 47 minutes ago by Opus Recruitment Solutions Ltd
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
- 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
- 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.