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For Companies At a Glance
- Tasks: Build predictive models and develop analytics-ready data marts to drive real business impact.
- Company: Join a global data team in a dynamic Edtech environment.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a difference with data while using cutting-edge tools like Snowflake and dbt.
- Qualifications: 3+ years in data science, strong SQL and Python skills, and a proactive mindset.
- Other info: Collaborative culture that values experimentation and measurable results.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
- 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
- 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 builddata products that matter – apply now.
Data Scientist Up to £60,000 Learn Snowflake DBT Edtech employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Up to £60,000 Learn Snowflake DBT Edtech
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models or any projects you've worked on with Snowflake and dbt. This is your chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in real-world scenarios, especially in marketing analytics or CRM contexts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Scientist Up to £60,000 Learn Snowflake DBT Edtech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your experience with predictive modelling, SQL, and any tools like Snowflake or dbt that we use here at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can make an impact in our team. Don’t forget to mention specific projects or achievements that relate to the job description.
Showcase Your Problem-Solving Skills: We love candidates who can tackle real business problems. In your application, give examples of how you've used data to drive decisions or improve processes. This will show us you're ready to jump into the role!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you on our radar!
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Know Your Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, especially Snowflake, dbt, SQL, and Python. Brush up on your predictive modelling techniques and be ready to discuss how you've used these tools in past projects.
✨Prepare Real-World Examples
Think of specific instances where you've built predictive models or developed analytics-ready data marts. Be ready to explain your thought process, the challenges you faced, and the impact your work had on decision-making.
✨Show Your Collaborative Spirit
Since this role involves working closely with marketing and enrolment teams, prepare to discuss how you’ve successfully collaborated with non-technical stakeholders in the past. Highlight any A/B testing experiences and how you measured their impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and how they measure success. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.